Tuomas P. J. Knowles

45.9k citations

465 papers · 32.9k indexed · 23 hit papers · h-index 88

Molecular Biology top 0.05%
Physiology top 0.02%
Biomaterials top 0.02%
Neurology top 0.1%
Materials Chemistry top 1%

Co-authors: Christopher M. Dobson Michele Vendruscolo Sara Linse Samuel I. A. Cohen Georg Meisl Thomas C. T. Michaels Mark E. Welland Paolo Arosio
Topics: Alzheimer's disease research and treatments (190 papers)Protein Structure and Dynamics (136 papers)Supramolecular Self-Assembly in Materials (82 papers)
Cited by: Biomaterials Physiology Molecular Biology
Journals: Science Cell Chemical Reviews
Partner nations: United Kingdom United States Sweden

In The Last Decade

Tuomas P. J. Knowles

459 papers receiving 32.7k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The amyloid state and its association with protein misfolding diseases

2014 1.9k citations Tuomas P. J. Knowles, Michele Vendruscolo et al. profile →
Proliferation of amyloid-β42 aggregates occurs through a secondary nucleation mechanism

2013 1.1k citations Samuel I. A. Cohen, Sara Linse et al. Proceedings of the National Academy of Sciences profile →
An Analytical Solution to the Kinetics of Breakable Filament Assembly

2009 899 citations Tuomas P. J. Knowles, Christopher A. Waudby et al. Science profile →
Direct Observation of the Interconversion of Normal and Toxic Forms of α-Synuclein

2012 709 citations Nunilo Cremades, Samuel I. A. Cohen et al. profile →
Nanomechanics of functional and pathological amyloid materials

2011 668 citations Tuomas P. J. Knowles et al. profile →
Role of Intermolecular Forces in Defining Material Properties of Protein Nanofibrils

2007 649 citations Tuomas P. J. Knowles, Michele Vendruscolo et al. Science profile →
Biomimetic peptide self-assembly for functional materials

2020 633 citations Aviad Levin, Tuomas P. J. Knowles et al. profile →
On the lag phase in amyloid fibril formation

2015 611 citations Tuomas P. J. Knowles, Sara Linse et al. profile →
Molecular mechanisms of protein aggregation from global fitting of kinetic models

2016 586 citations Georg Meisl, Thomas C. T. Michaels et al. profile →
Solution conditions determine the relative importance of nucleation and growth processes in α-synuclein aggregation

2014 543 citations Emma Sparr, Michele Vendruscolo et al. Proceedings of the National Academy of Sciences profile →
Characterization of the nanoscale properties of individual amyloid fibrils

2006 526 citations Tuomas P. J. Knowles, Christopher M. Dobson et al. Proceedings of the National Academy of Sciences profile →
Lipid vesicles trigger α-synuclein aggregation by stimulating primary nucleation

2015 518 citations Georg Meisl, Thomas C. T. Michaels et al. profile →
Amyloid Fibrils as Building Blocks for Natural and Artificial Functional Materials

2016 472 citations Tuomas P. J. Knowles et al. profile →
Atomic structure and hierarchical assembly of a cross-β amyloid fibril

2013 450 citations Christopher A. Waudby, Tuomas P. J. Knowles et al. Proceedings of the National Academy of Sciences profile →
Half a century of amyloids: past, present and future

2020 425 citations Tuomas P. J. Knowles, Daniel E. Otzen et al. profile →
Differences in nucleation behavior underlie the contrasting aggregation kinetics of the Aβ40 and Aβ42 peptides

2014 411 citations Georg Meisl, Xiaoting Yang et al. Proceedings of the National Academy of Sciences profile →
Different soluble aggregates of Aβ42 can give rise to cellular toxicity through different mechanisms

2019 387 citations Suman De, David C. Wirthensohn et al. Nature Communications profile →
Structural characterization of toxic oligomers that are kinetically trapped during α-synuclein fibril formation

2015 368 citations Serene W. Chen, Srdja Drakulić et al. Proceedings of the National Academy of Sciences profile →
Secondary nucleation in amyloid formation

2018 356 citations Thomas C. T. Michaels, Xiaoting Yang et al. profile →
Nucleation and Growth of Amino Acid and Peptide Supramolecular Polymers through Liquid–Liquid Phase Separation

2019 352 citations Aviad Levin, Therese W. Herling et al. Angewandte Chemie International Edition profile →
Reentrant liquid condensate phase of proteins is stabilized by hydrophobic and non-ionic interactions

2021 339 citations Georg Krainer, Zenon Toprakcioglu et al. Nature Communications profile →
Dynamics of oligomer populations formed during the aggregation of Alzheimer’s Aβ42 peptide

2020 263 citations Thomas C. T. Michaels, Anđela Šarić et al. profile →
Phase-separating RNA-binding proteins form heterogeneous distributions of clusters in subsaturated solutions

2022 170 citations Georg Krainer, Tuomas P. J. Knowles et al. Proceedings of the National Academy of Sciences profile →

Peers

Countries citing papers authored by Tuomas P. J. Knowles

Since Specialization

Citations

This map shows the geographic impact of Tuomas P. J. Knowles's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tuomas P. J. Knowles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuomas P. J. Knowles more than expected).

Fields of papers citing papers by Tuomas P. J. Knowles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tuomas P. J. Knowles. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tuomas P. J. Knowles. The network helps show where Tuomas P. J. Knowles may publish in the future.

Co-authorship network of co-authors of Tuomas P. J. Knowles

This figure shows the co-authorship network connecting the top 25 collaborators of Tuomas P. J. Knowles. A scholar is included among the top collaborators of Tuomas P. J. Knowles based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tuomas P. J. Knowles. Tuomas P. J. Knowles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Molecular mechanism of α-synuclein aggregation on lipid membranes revealed 2024 ·Chemical Science ·Alexander J. Dear,Xiangyu Teng,(unknown),J. Lewin,(unknown),(unknown),(unknown),Natasha Harper,(unknown),Xiaoting Yang,Suzanne Brewerton,(unknown),Thomas C. T. Michaels,Sara Linse,Tuomas P. J. Knowles,Johnny Habchi,Georg Meisl	8
2	The role of shear forces in primary and secondary nucleation of amyloid fibrils 2024 ·Proceedings of the National Academy of Sciences ·(unknown),(unknown),(unknown),Alexander J. Dear,(unknown),Ewa Andrzejewska,(unknown),(unknown),Tuomas P. J. Knowles,Emma Sparr,Sara Linse	18
3	Dominance analysis to assess solute contributions to multicomponent phase equilibria 2024 ·Proceedings of the National Academy of Sciences ·Daoyuan Qian,Hannes Ausserwӧger,Tomas Šneideris,Mina Farag,Rohit V. Pappu,Tuomas P. J. Knowles	10
4	Electrophysiological In Vitro Study of Long‐Range Signal Transmission by Astrocytic Networks 2023 ·Advanced Science ·(unknown),(unknown),(unknown),(unknown),(unknown),Nadia A. Erkamp,Roger J. Mason,Alejandro Carnicer‐Lombarte,S.M. Jamshedur Rahman,Tuomas P. J. Knowles,Manohar Bance,George G. Malliaras,Mark Kotter	8
5	Small soluble α-synuclein aggregates are the toxic species in Parkinson’s disease 2022 ·Nature Communications ·Derya Emin,Yu P. Zhang,Evgeniia Lobanova,Alyssa Miller,(unknown),Zengjie Xia,(unknown),(unknown),Jeff Y. L. Lam,Rohan T. Ranasinghe,Antonina Kouli,Yanyan Zhao,Suman De,Tuomas P. J. Knowles,Michele Vendruscolo,Francesco Simone Ruggeri,Franklin I. Aigbirhio,Caroline H. Williams‐Gray,David Klenerman	121
6	Uncovering the universality of self-replication in protein aggregation and its link to disease 2022 ·Science Advances ·Georg Meisl,Catherine K. Xu,Jonathan D. Taylor,Thomas C. T. Michaels,Aviad Levin,Daniel E. Otzen,David Klenerman,Stephen Matthews,Sara Linse,Maria Andreasen,Tuomas P. J. Knowles	44
7	Nanofluidic Traps by Two-Photon Fabrication for Extended Detection of Single Macromolecules and Colloids in Solution 2022 ·ACS Applied Nano Materials ·(unknown),(unknown),Georg Krainer,(unknown),Pavan K. Challa,Quentin Peter,Zenon Toprakcioglu,Catherine K. Xu,Ulrich F. Keyser,Jeremy J. Baumberg,Clemens F. Kaminski,Tuomas P. J. Knowles	6
8	The Hsc70 disaggregation machinery removes monomer units directly from α-synuclein fibril ends 2021 ·Nature Communications ·Matthias M. Schneider,Saurabh Gautam,Therese W. Herling,Ewa Andrzejewska,Georg Krainer,Alyssa Miller,Victoria A. Trinkaus,Quentin Peter,Francesco Simone Ruggeri,Michele Vendruscolo,Andreas Bracher,Christopher M. Dobson,F. Ulrich Hartl,Tuomas P. J. Knowles	53
9	A dopamine metabolite stabilizes neurotoxic amyloid-β oligomers 2021 ·Communications Biology ·Rodrigo Cataldi,Sean Chia,(unknown),Francesco Simone Ruggeri,Catherine K. Xu,Tomas Šneideris,Michele Perni,(unknown),Priyanka Joshi,Janet R. Kumita,Sara Linse,Johnny Habchi,Tuomas P. J. Knowles,Benedetta Mannini,Christopher M. Dobson,Michele Vendruscolo	36
10	In vivo rate-determining steps of tau seed accumulation in Alzheimer’s disease 2021 ·Science Advances ·Georg Meisl,(unknown),Kieren Allinson,Timothy Rittman,Sarah L. DeVos,Justin S. Sanchez,Catherine K. Xu,Karen Duff,Keith A. Johnson,James B. Rowe,Bradley T. Hyman,Tuomas P. J. Knowles,David Klenerman	74
11	Feedback control of protein aggregation 2021 ·The Journal of Chemical Physics ·Alexander J. Dear,Thomas C. T. Michaels,Tuomas P. J. Knowles,L. Mahadevan	5
12	Autoantibodies against the prion protein in individuals with PRNP mutations 2020 ·Neurology ·Karl Frontzek,(unknown),Marco Losa,(unknown),Georg Meisl,(unknown),Jean‐Philippe Brandel,Ulrike Camenisch,Joaquı́n Castilla,Stéphane Haı̈k,Tuomas P. J. Knowles,Ewald Lindner,Andreas Lutterotti,Eric Vallabh Minikel,Ignazio Roiter,Jiri Safar,Raquel Sánchez‐Valle,Dana Žáková,Simone Hornemann,Adriano Aguzzi,(unknown)	10
13	Physical mechanisms of amyloid nucleation on fluid membranes 2020 ·Proceedings of the National Academy of Sciences ·Johannes Krausser,Tuomas P. J. Knowles,Anđela Šarić	31
14	Direct measurement of lipid membrane disruption connects kinetics and toxicity of Aβ42 aggregation 2020 ·Nature Structural & Molecular Biology ·Patrick Flagmeier,Suman De,Thomas C. T. Michaels,Xiaoting Yang,Alexander J. Dear,Cecilia Emanuelsson,Michele Vendruscolo,Sara Linse,David Klenerman,Tuomas P. J. Knowles,Christopher M. Dobson	47
15	Identification of on- and off-pathway oligomers in amyloid fibril formation 2020 ·Chemical Science ·Alexander J. Dear,Georg Meisl,Anđela Šarić,Thomas C. T. Michaels,Magnus Kjærgaard,Sara Linse,Tuomas P. J. Knowles	92
16	On-chip measurements of protein unfolding from direct observations of micron-scale diffusion 2018 ·Chemical Science ·(unknown),Emma V. Yates,Liu Hong,Kadi L. Saar,Georg Meisl,Christopher M. Dobson,Tuomas P. J. Knowles	9
17	Enhancing the Resolution of Micro Free Flow Electrophoresis through Spatially Controlled Sample Injection 2018 ·Analytical Chemistry ·Kadi L. Saar,Thomas Müller,Jérôme Charmet,Pavan K. Challa,Tuomas P. J. Knowles	25
18	Ultrasensitive Measurement of Ca²⁺ Influx into Lipid Vesicles Induced by Protein Aggregates 2017 ·Angewandte Chemie International Edition ·Patrick Flagmeier,Suman De,David C. Wirthensohn,Steven F. Lee,Cécile Vincke,Serge Muyldermans,Tuomas P. J. Knowles,Sonia Gandhi,Christopher M. Dobson,David Klenerman	69
19	Structural characterization of toxic oligomers that are kinetically trapped during α-synuclein fibril formationbreakdown → 2015 ·Proceedings of the National Academy of Sciences ·Serene W. Chen,Srdja Drakulić,Emma Deas,Myriam Ouberaï,Francesco A. Aprile,Rocío Arranz,(unknown),Cintia Roodveldt,Tim Guilliams,(unknown),David Klenerman,Nicholas Wood,Tuomas P. J. Knowles,Carlos Alfonso,Germán Rivas,Andrey Y. Abramov,José Valpuesta,Christopher M. Dobson,Nunilo Cremades	368
20	An Analytical Solution to the Kinetics of Breakable Filament Assemblybreakdown → 2009 ·Science ·Tuomas P. J. Knowles,Christopher A. Waudby,Glyn L. Devlin,Samuel I. A. Cohen,Adriano Aguzzi,Michele Vendruscolo,Eugene M. Terentjev,Mark E. Welland,Christopher M. Dobson	899

About Tuomas P. J. Knowles

Tuomas P. J. Knowles is a scholar working on Biomaterials, Physiology and Molecular Biology, having authored 465 papers that have together received 32.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (190 papers), Protein Structure and Dynamics (136 papers) and Supramolecular Self-Assembly in Materials (82 papers). The work is most often cited by research in Biomaterials (7.8k citations), Physiology (14.8k citations) and Molecular Biology (19.2k citations). Tuomas P. J. Knowles has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Christopher M. Dobson, Michele Vendruscolo, Sara Linse, Samuel I. A. Cohen, Georg Meisl, Thomas C. T. Michaels, Mark E. Welland, Paolo Arosio, Alexander K. Buell and Aviad Levin. Their work appears in journals such as Science, Cell and Chemical Reviews.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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