David Gnutt

1.2k total citations
21 papers, 720 citations indexed

About

David Gnutt is a scholar working on Molecular Biology, Neurology and Cell Biology. According to data from OpenAlex, David Gnutt has authored 21 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Neurology and 4 papers in Cell Biology. Recurrent topics in David Gnutt's work include Protein Structure and Dynamics (7 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Mitochondrial Function and Pathology (3 papers). David Gnutt is often cited by papers focused on Protein Structure and Dynamics (7 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Mitochondrial Function and Pathology (3 papers). David Gnutt collaborates with scholars based in Germany, United States and France. David Gnutt's co-authors include Simon Ebbinghaus, Mimi Gao, Matthias Heyden, Roland Winter, Birgit Strodel, Jüri Jarvet, Astrid Gräslund, Sebastian K.T.S. Wärmländer, Michael C. Owen and Fabio Sterpone and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Angewandte Chemie International Edition.

In The Last Decade

David Gnutt

21 papers receiving 717 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Gnutt Germany 12 550 132 121 91 82 21 720
Mimi Gao Germany 16 608 1.1× 173 1.3× 164 1.4× 126 1.4× 64 0.8× 25 848
Rebecca F. Wissner United States 14 475 0.9× 48 0.4× 66 0.5× 70 0.8× 107 1.3× 15 691
Tessa Sinnige Netherlands 15 419 0.8× 105 0.8× 150 1.2× 61 0.7× 47 0.6× 23 676
Alexander Jussupow Germany 16 681 1.2× 86 0.7× 128 1.1× 54 0.6× 23 0.3× 25 843
Mingchen Chen United States 17 536 1.0× 167 1.3× 149 1.2× 43 0.5× 23 0.3× 48 761
Alexander S. Krois United States 6 442 0.8× 63 0.5× 139 1.1× 69 0.8× 27 0.3× 6 603
Victor S. Lelyveld United States 14 840 1.5× 66 0.5× 134 1.1× 77 0.8× 29 0.4× 24 1.3k
Anne Dhulesia United Kingdom 12 604 1.1× 279 2.1× 188 1.6× 88 1.0× 21 0.3× 17 731
Olga Tcherkasskaya United States 16 406 0.7× 56 0.4× 200 1.7× 71 0.8× 40 0.5× 26 588
Lisa-Maria Needham United Kingdom 11 397 0.7× 96 0.7× 97 0.8× 15 0.2× 80 1.0× 15 623

Countries citing papers authored by David Gnutt

Since Specialization
Citations

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

Fields of papers citing papers by David Gnutt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Gnutt. 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 David Gnutt. The network helps show where David Gnutt may publish in the future.

Co-authorship network of co-authors of David Gnutt

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

All Works

20 of 20 papers shown
1.
Kim, Vladislav, et al.. (2025). Self-supervision advances morphological profiling by unlocking powerful image representations. Scientific Reports. 15(1). 4876–4876. 3 indexed citations
2.
Leggio, Bruno, Tim König, Vladislav Kim, et al.. (2024). Cell Painting unravels insecticidal modes of action on Spodoptera frugiperda insect cells. Pesticide Biochemistry and Physiology. 203. 105983–105983. 3 indexed citations
3.
Gnutt, David, et al.. (2023). Intracellular spatially-targeted chemical chaperones increase native state stability of mutant SOD1 barrel. Biological Chemistry. 404(10). 909–930. 1 indexed citations
4.
Samanta, Nirnay, Yasser B. Ruiz‐Blanco, David Gnutt, et al.. (2022). Superoxide Dismutase 1 Folding Stability as a Target for Molecular Tweezers in SOD1‐Related Amyotrophic Lateral Sclerosis. ChemBioChem. 23(21). e202200396–e202200396. 10 indexed citations
5.
Gnutt, David, et al.. (2021). Cellular ATP Levels Determine the Stability of a Nucleotide Kinase. Frontiers in Molecular Biosciences. 8. 790304–790304. 5 indexed citations
6.
Timr, Štěpán, David Gnutt, Simon Ebbinghaus, & Fabio Sterpone. (2020). The Unfolding Journey of Superoxide Dismutase 1 Barrels under Crowding: Atomistic Simulations Shed Light on Intermediate States and Their Interactions with Crowders. The Journal of Physical Chemistry Letters. 11(10). 4206–4212. 21 indexed citations
7.
Owen, Michael C., David Gnutt, Mimi Gao, et al.. (2019). Effects ofin vivoconditions on amyloid aggregation. Chemical Society Reviews. 48(14). 3946–3996. 141 indexed citations
8.
Gnutt, David, Linda Sistemich, & Simon Ebbinghaus. (2019). Protein Folding Modulation in Cells Subject to Differentiation and Stress. Frontiers in Molecular Biosciences. 6. 38–38. 12 indexed citations
9.
Gnutt, David, Štěpán Timr, Jonas Ahlers, et al.. (2019). Stability Effect of Quinary Interactions Reversed by Single Point Mutations. Journal of the American Chemical Society. 141(11). 4660–4669. 58 indexed citations
10.
Gnutt, David, et al.. (2018). SOD1 Folding Modulation in the Crowded Cell. Biophysical Journal. 114(3). 52a–53a. 2 indexed citations
11.
Gnutt, David, et al.. (2017). Imperfect crowding adaptation of mammalian cells towards osmotic stress and its modulation by osmolytes. Molecular BioSystems. 13(11). 2218–2221. 23 indexed citations
12.
Vöpel, Tobias, Kenny Bravo‐Rodriguez, Sumit Mittal, et al.. (2017). Inhibition of Huntingtin Exon-1 Aggregation by the Molecular Tweezer CLR01. Journal of the American Chemical Society. 139(16). 5640–5643. 45 indexed citations
13.
Gnutt, David, et al.. (2017). Role of Electrostatics in Protein–RNA Binding: The Global vs the Local Energy Landscape. The Journal of Physical Chemistry B. 121(36). 8437–8446. 20 indexed citations
14.
Sharma, Abhishek A., Estella A. Newcombe, Angelique R. Ormsby, et al.. (2017). Conformational dynamics and self-association of intrinsically disordered Huntingtin exon 1 in cells. Physical Chemistry Chemical Physics. 19(17). 10738–10747. 25 indexed citations
15.
Gao, Mimi, David Gnutt, Bettina Appel, et al.. (2016). Faltung einer RNA‐Haarnadel in der dicht gedrängten Zelle. Angewandte Chemie. 128(9). 3279–3283. 10 indexed citations
16.
Gao, Mimi, David Gnutt, Bettina Appel, et al.. (2016). RNA Hairpin Folding in the Crowded Cell. Angewandte Chemie International Edition. 55(9). 3224–3228. 77 indexed citations
17.
Gnutt, David, et al.. (2015). Innenrücktitelbild: Effekte des Volumenausschlusses in lebenden Zellen (Angew. Chem. 8/2015). Angewandte Chemie. 127(8). 2591–2591. 1 indexed citations
18.
Gnutt, David & Simon Ebbinghaus. (2015). The macromolecular crowding effect – from in vitro into the cell. Biological Chemistry. 397(1). 37–44. 96 indexed citations
19.
Gnutt, David, et al.. (2014). Excluded‐Volume Effects in Living Cells. Angewandte Chemie International Edition. 54(8). 2548–2551. 146 indexed citations
20.
Gnutt, David, et al.. (2014). Effekte des Volumenausschlusses in lebenden Zellen. Angewandte Chemie. 127(8). 2578–2581. 20 indexed citations

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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