Thomas A. Hopf

8.2k total citations · 3 hit papers
21 papers, 3.8k citations indexed

About

Thomas A. Hopf is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Thomas A. Hopf has authored 21 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Computational Theory and Mathematics. Recurrent topics in Thomas A. Hopf's work include Protein Structure and Dynamics (10 papers), RNA and protein synthesis mechanisms (10 papers) and Genomics and Phylogenetic Studies (7 papers). Thomas A. Hopf is often cited by papers focused on Protein Structure and Dynamics (10 papers), RNA and protein synthesis mechanisms (10 papers) and Genomics and Phylogenetic Studies (7 papers). Thomas A. Hopf collaborates with scholars based in United States, Germany and Sweden. Thomas A. Hopf's co-authors include Debora S. Marks, Chris Sander, Robert P. Sheridan, Lucy J. Colwell, Charlotta Schärfe, Andrea Pagnani, Riccardo Zecchina, Burkhard Rost, John Ingraham and Michael Springer and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Thomas A. Hopf

21 papers receiving 3.8k citations

Hit 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.

Protein 3D Structure Computed from Evolutionary Sequence Variation

2011 762 citations Debora S. Marks, Lucy J. Colwell et al. PLoS ONE profile →
A deep proteome and transcriptome abundance atlas of 29 healthy human tissues

2019 449 citations Dongxue Wang, Basak Eraslan et al. Molecular Systems Biology profile →
Mutation effects predicted from sequence co-variation

2017 447 citations Thomas A. Hopf, John Ingraham et al. Nature Biotechnology profile →

Peers

Countries citing papers authored by Thomas A. Hopf

Since Specialization

Citations

This map shows the geographic impact of Thomas A. Hopf'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 Thomas A. Hopf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas A. Hopf more than expected).

Fields of papers citing papers by Thomas A. Hopf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas A. Hopf. 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 Thomas A. Hopf. The network helps show where Thomas A. Hopf may publish in the future.

Co-authorship network of co-authors of Thomas A. Hopf

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas A. Hopf. A scholar is included among the top collaborators of Thomas A. Hopf 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 Thomas A. Hopf. Thomas A. Hopf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Proteome-wide model for human disease genetics 2025 ·Nature Genetics ·Rose Orenbuch, (unknown), Aaron W. Kollasch, (unknown), Thomas A. Hopf, (unknown), Dinko Franceschi, Mafalda Dias, Jonathan Frazer, Debora S. Marks	3
2	Quantification and discovery of sequence determinants of protein‐per‐mRNA amount in 29 human tissues 2019 ·Molecular Systems Biology ·Basak Eraslan, Dongxue Wang, Mirjana Gušić, Holger Prokisch, Björn M. Hallström, Mathias Uhlén, Anna Asplund, Fredrik Pontén, Thomas Wieland, Thomas A. Hopf, Hannes Hahne, Bernhard Küster, Julien Gagneur	48
3	A deep proteome and transcriptome abundance atlas of 29 healthy human tissues breakdown → 2019 ·Molecular Systems Biology ·Dongxue Wang, Basak Eraslan, Thomas Wieland, Björn M. Hallström, Thomas A. Hopf, Daniel P. Zolg, Jana Zecha, Anna Asplund, Lihua Li, Chen Meng, Martin Frejno, Tobias Schmidt, Karsten Schnatbaum, Mathias Wilhelm, Fredrik Pontén, Mathias Uhlén, Julien Gagneur, Hannes Hahne, Bernhard Küster	449
4	The EVcouplings Python framework for coevolutionary sequence analysis 2018 ·Bioinformatics ·Thomas A. Hopf, Anna G. Green, Benjamin Schubert, (unknown), Charlotta Schärfe, John Ingraham, Ágnes Tóth-Petróczy, Kelly P. Brock, Adam J. Riesselman, (unknown), (unknown), Robert P. Sheridan, Eli J. Draizen, Christian Dallago, Chris Sander, Debora S. Marks	172
5	A Systematic p53 Mutation Library Links Differential Functional Impact to Cancer Mutation Pattern and Evolutionary Conservation 2018 ·Molecular Cell ·Eran Kotler, (unknown), (unknown), Maya Lotan‐Pompan, Ohad Tarcic, Anat Gershoni, Thomas A. Hopf, Debora S. Marks, Moshe Oren, Eran Segal	181
6	Structure of the peptidoglycan polymerase RodA resolved by evolutionary coupling analysis 2018 ·Nature ·Megan Sjodt, Kelly P. Brock, Genevieve S Dobihal, Patricia D. A. Rohs, Anna G. Green, Thomas A. Hopf, Alexander J. Meeske, Veerasak Srisuknimit, Daniel Kahne, Suzanne Walker, Debora S. Marks, Thomas G. Bernhardt, David Z. Rudner, Andrew C. Kruse	89
7	Population-specific design of de-immunized protein biotherapeutics 2018 ·PLoS Computational Biology ·Benjamin Schubert, Charlotta Schärfe, Pierre Dönnes, Thomas A. Hopf, (unknown), Oliver Kohlbacher	17
8	Structure and function of the SEDS:bPBP bacterial cell wall synthesis machinery 2018 ·Acta Crystallographica Section A Foundations and Advances ·Megan Sjodt, Kelly P. Brock, Genevieve S Dobihal, Patricia D. A. Rohs, Anna G. Green, Thomas A. Hopf, Alexander J. Meeske, Veerasak Srisuknimit, Daniel Kahne, Suzanne Walker, Debora S. Marks, Thomas G. Bernhardt, David Z. Rudner, Andrew C. Kruse	2
9	Mutation effects predicted from sequence co-variation breakdown → 2017 ·Nature Biotechnology ·Thomas A. Hopf, John Ingraham, Frank J. Poelwijk, Charlotta Schärfe, Michael Springer, Chris Sander, Debora S. Marks	447
10	Structured States of Disordered Proteins from Genomic Sequences 2016 ·Cell ·Ágnes Tóth-Petróczy, (unknown), John Ingraham, Thomas A. Hopf, Bonnie Berger, Chris Sander, Debora S. Marks	91
11	Phenotype prediction from evolutionary sequence covariation 2016 ·mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) ·Thomas A. Hopf	2
12	Amino acid coevolution reveals three-dimensional structure and functional domains of insect odorant receptors 2015 ·Nature Communications ·Thomas A. Hopf, (unknown), Sayoko Ihara, Kazushige Touhara, Debora S. Marks, Richard Benton	96
13	Protein structure determination by combining sparse NMR data with evolutionary couplings 2015 ·Nature Methods ·Yuefeng Tang, Yuanpeng J. Huang, Thomas A. Hopf, Chris Sander, Debora S. Marks, G.T. Montelione	53
14	Data from: Sequence co-evolution gives 3D contacts and structures of protein complexes 2014 ·Data Archiving and Networked Services (DANS) ·Thomas A. Hopf, Charlotta Schärfe, João Rodrigues, Anna G. Green, Chris Sander, Alexandre M. J. J. Bonvin, Debora S. Marks, (unknown)	3
15	FreeContact: fast and free software for protein contact prediction from residue co-evolution 2014 ·BMC Bioinformatics ·László Kaján, Thomas A. Hopf, Matúš Kalaš, Debora S. Marks, Burkhard Rost	117
16	Sequence co-evolution gives 3D contacts and structures of protein complexes 2014 ·eLife ·Thomas A. Hopf, Charlotta Schärfe, João Rodrigues, Anna G. Green, Oliver Kohlbacher, Chris Sander, Alexandre M. J. J. Bonvin, Debora S. Marks	355
17	Homology-based inference sets the bar high for protein function prediction 2013 ·BMC Bioinformatics ·Tobias Hamp, (unknown), Stefan Seemayer, Esmeralda Vicedo, Christian Schaefer, (unknown), Florian Auer, (unknown), Tatjana Braun, Maximilian Hecht, B. Mark Heron, Peter Hönigschmid, Thomas A. Hopf, Stefanie Kaufmann, Michael Kiening, Denis Krompaß, Cedric Landerer, Yannick Mahlich, (unknown), Burkhard Rost	51
18	Protein structure prediction from sequence variation 2012 ·Nature Biotechnology ·Debora S. Marks, Thomas A. Hopf, Chris Sander	450
19	Three-Dimensional Structures of Membrane Proteins from Genomic Sequencing 2012 ·Cell ·Thomas A. Hopf, Lucy J. Colwell, Robert P. Sheridan, Burkhard Rost, Chris Sander, Debora S. Marks	389
20	Protein 3D Structure Computed from Evolutionary Sequence Variation breakdown → 2011 ·PLoS ONE ·Debora S. Marks, Lucy J. Colwell, Robert P. Sheridan, Thomas A. Hopf, Andrea Pagnani, Riccardo Zecchina, Chris Sander	762

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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