Jörg Gsponer

5.8k total citations
68 papers, 3.7k citations indexed

About

Jörg Gsponer is a scholar working on Molecular Biology, Materials Chemistry and Physiology. According to data from OpenAlex, Jörg Gsponer has authored 68 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 18 papers in Materials Chemistry and 9 papers in Physiology. Recurrent topics in Jörg Gsponer's work include Protein Structure and Dynamics (35 papers), Enzyme Structure and Function (18 papers) and RNA and protein synthesis mechanisms (12 papers). Jörg Gsponer is often cited by papers focused on Protein Structure and Dynamics (35 papers), Enzyme Structure and Function (18 papers) and RNA and protein synthesis mechanisms (12 papers). Jörg Gsponer collaborates with scholars based in Canada, United States and United Kingdom. Jörg Gsponer's co-authors include M. Madan Babu, Amedeo Caflisch, Natalia Sánchez de Groot, Robin van der Lee, Nawar Malhis, Matthias E. Futschik, Sarah A. Teichmann, Guillaume Lamour, Jennifer M. Bui and Alexander Cumberworth and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jörg Gsponer

66 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jörg Gsponer Canada 30 3.0k 707 442 413 294 68 3.7k
Luís Serrano Spain 33 3.7k 1.2× 1.0k 1.5× 356 0.8× 293 0.7× 302 1.0× 66 4.3k
Jochen Balbach Germany 33 2.6k 0.8× 989 1.4× 325 0.7× 293 0.7× 412 1.4× 127 3.4k
Tsjerk A. Wassenaar Netherlands 24 4.3k 1.4× 555 0.8× 308 0.7× 501 1.2× 223 0.8× 52 5.3k
Douglas V. Laurents Spain 29 2.4k 0.8× 783 1.1× 332 0.8× 255 0.6× 192 0.7× 111 3.0k
Arturo Muga Spain 34 3.1k 1.0× 634 0.9× 234 0.5× 329 0.8× 200 0.7× 107 3.9k
Riccardo Pellarin France 32 2.4k 0.8× 584 0.8× 794 1.8× 238 0.6× 407 1.4× 57 3.2k
Joerg Gsponer Canada 17 2.5k 0.8× 638 0.9× 265 0.6× 482 1.2× 372 1.3× 25 3.1k
Helen R. Mott United Kingdom 30 3.1k 1.0× 389 0.6× 606 1.4× 614 1.5× 196 0.7× 77 4.1k
Michał J. Gajda Germany 12 2.0k 0.7× 732 1.0× 284 0.6× 244 0.6× 191 0.6× 21 2.7k
Hidekazu Hiroaki Japan 30 2.5k 0.8× 444 0.6× 259 0.6× 473 1.1× 271 0.9× 98 3.3k

Countries citing papers authored by Jörg Gsponer

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Gsponer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg Gsponer

This figure shows the co-authorship network connecting the top 25 collaborators of Jörg Gsponer. A scholar is included among the top collaborators of Jörg Gsponer 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 Jörg Gsponer. Jörg Gsponer 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.
Na, Dokyun, et al.. (2025). Challenging AlphaFold in predicting proteins with large-scale allosteric transitions. Communications Chemistry. 8(1). 378–378.
2.
Lee, Kangseok, et al.. (2025). Genetic “expiry-date” circuits control lifespan of synthetic scavenger bacteria for safe bioremediation. Nucleic Acids Research. 53(14). 2 indexed citations
3.
Bui, Jennifer M., et al.. (2024). Widespread alteration of protein autoinhibition in human cancers. Cell Systems. 15(3). 246–263.e7. 1 indexed citations
4.
Malhis, Nawar, et al.. (2024). AlphaFold-Multimer accurately captures interactions and dynamics of intrinsically disordered protein regions. Proceedings of the National Academy of Sciences. 121(44). e2406407121–e2406407121. 26 indexed citations
5.
Kurgan, Lukasz, Gang Hu, Kui Wang, et al.. (2023). Tutorial: a guide for the selection of fast and accurate computational tools for the prediction of intrinsic disorder in proteins. Nature Protocols. 18(11). 3157–3172. 21 indexed citations
6.
Basu, Sushmita, Bi Zhao, Eshel Faraggi, et al.. (2023). DescribePROT in 2023: more, higher-quality and experimental annotations and improved data download options. Nucleic Acids Research. 52(D1). D426–D433. 7 indexed citations
7.
Kuechler, Erich R., Tahir Ali, Grace Cole, et al.. (2023). Shift of the insoluble content of the proteome in the aging mouse brain. Proceedings of the National Academy of Sciences. 120(45). e2310057120–e2310057120. 9 indexed citations
8.
Kuechler, Erich R., Alex L. Huang, Jennifer M. Bui, Thibault Mayor, & Jörg Gsponer. (2023). Comparison of Biomolecular Condensate Localization and Protein Phase Separation Predictors. Biomolecules. 13(3). 527–527. 6 indexed citations
9.
Zhu, Mang, Erich R. Kuechler, Gaetano Calabrese, et al.. (2022). Pulse labeling reveals the tail end of protein folding by proteome profiling. Cell Reports. 40(3). 111096–111096. 10 indexed citations
10.
Malhis, Nawar, Matthew Jacobson, Steven J.M. Jones, & Jörg Gsponer. (2020). LIST-S2: taxonomy based sorting of deleterious missense mutations across species. Nucleic Acids Research. 48(W1). W154–W161. 61 indexed citations
11.
Malhis, Nawar, Steven J.M. Jones, & Jörg Gsponer. (2019). Improved measures for evolutionary conservation that exploit taxonomy distances. Nature Communications. 10(1). 1556–1556. 24 indexed citations
12.
Richard‐Greenblatt, Melissa, Mark Okon, Jennifer M. Bui, et al.. (2018). Biophysical Characterization of the Tandem FHA Domain Regulatory Module from the Mycobacterium tuberculosis ABC Transporter Rv1747. Structure. 26(7). 972–986.e6. 10 indexed citations
13.
Malhis, Nawar, et al.. (2015). Computational Identification of MoRFs in Protein Sequences Using Hierarchical Application of Bayes Rule. PLoS ONE. 10(10). e0141603–e0141603. 36 indexed citations
14.
Lamour, Guillaume, Hongbin Li, & Jörg Gsponer. (2013). Understanding Prion Aggregation in Amyloids by Analyzing their Mechanical Properties using AFM. Biophysical Journal. 104(2). 393a–393a. 1 indexed citations
15.
Cumberworth, Alexander, et al.. (2013). Structure and Intrinsic Disorder in Protein Autoinhibition. Structure. 21(3). 332–341. 80 indexed citations
16.
Na, Dokyun, Mushfiqur Rouf, Cahir J. O’Kane, David C. Rubinsztein, & Jörg Gsponer. (2013). NeuroGeM, a knowledgebase of genetic modifiers in neurodegenerative diseases. BMC Medical Genomics. 6(1). 52–52. 21 indexed citations
17.
Gsponer, Jörg & M. Madan Babu. (2012). Cellular Strategies for Regulating Functional and Nonfunctional Protein Aggregation. Cell Reports. 2(5). 1425–1437. 81 indexed citations
18.
Krohn, Markus, Cathleen Lange, Jacqueline Hofrichter, et al.. (2011). Cerebral amyloid-β proteostasis is regulated by the membrane transport protein ABCC1 in mice. Journal of Clinical Investigation. 121(10). 3924–3931. 149 indexed citations
19.
Gsponer, Jörg & M. Madan Babu. (2009). The rules of disorder or why disorder rules. Progress in Biophysics and Molecular Biology. 99(2-3). 94–103. 160 indexed citations
20.
Bui, Jennifer M., Jörg Gsponer, Michele Vendruscolo, & Christopher M. Dobson. (2009). Analysis of Sub-τc and Supra-τc Motions in Protein Gβ1 Using Molecular Dynamics Simulations. Biophysical Journal. 97(9). 2513–2520. 11 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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