Steven S. Plotkin

3.0k total citations
74 papers, 2.3k citations indexed

About

Steven S. Plotkin is a scholar working on Molecular Biology, Materials Chemistry and Neurology. According to data from OpenAlex, Steven S. Plotkin has authored 74 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 25 papers in Materials Chemistry and 14 papers in Neurology. Recurrent topics in Steven S. Plotkin's work include Protein Structure and Dynamics (31 papers), Enzyme Structure and Function (18 papers) and Amyotrophic Lateral Sclerosis Research (13 papers). Steven S. Plotkin is often cited by papers focused on Protein Structure and Dynamics (31 papers), Enzyme Structure and Function (18 papers) and Amyotrophic Lateral Sclerosis Research (13 papers). Steven S. Plotkin collaborates with scholars based in Canada, United States and Australia. Steven S. Plotkin's co-authors include Neil R. Cashman, José N. Onuchic, Peter G. Wolynes, Jin Wang, Cecilia Clementi, Justin J. Yerbury, Will Guest, Edward Pokrishevsky, Anat Yanai and Megan A. O’Neill and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Biological Chemistry.

In The Last Decade

Steven S. Plotkin

72 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven S. Plotkin Canada 23 1.6k 730 573 331 261 74 2.3k
Gül H. Zerze United States 21 2.7k 1.7× 606 0.8× 446 0.8× 220 0.7× 196 0.8× 42 3.4k
Philipp Selenko Germany 31 3.1k 1.9× 819 1.1× 497 0.9× 405 1.2× 73 0.3× 46 4.2k
Jens Danielsson Sweden 30 1.7k 1.0× 364 0.5× 307 0.5× 1.1k 3.2× 90 0.3× 53 2.6k
Nicolas L. Fawzi United States 38 7.1k 4.3× 821 1.1× 1.0k 1.8× 815 2.5× 165 0.6× 85 8.1k
Mikael Oliveberg Sweden 48 4.5k 2.7× 2.0k 2.7× 1.4k 2.5× 672 2.0× 451 1.7× 100 6.0k
Daryl A. Bosco United States 31 3.3k 2.0× 541 0.7× 2.1k 3.7× 610 1.8× 190 0.7× 55 5.4k
François‐Xavier Theillet France 24 2.0k 1.2× 634 0.9× 512 0.9× 364 1.1× 46 0.2× 41 3.0k
Giulia Rossetti Germany 27 1.4k 0.8× 216 0.3× 165 0.3× 212 0.6× 89 0.3× 124 2.3k
Kent R. Thurber United States 26 1.2k 0.7× 1.0k 1.4× 129 0.2× 570 1.7× 467 1.8× 40 3.3k
Shambaditya Saha Germany 7 3.0k 1.8× 202 0.3× 390 0.7× 194 0.6× 40 0.2× 7 3.4k

Countries citing papers authored by Steven S. Plotkin

Since Specialization
Citations

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

Fields of papers citing papers by Steven S. Plotkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven S. Plotkin. 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 Steven S. Plotkin. The network helps show where Steven S. Plotkin may publish in the future.

Co-authorship network of co-authors of Steven S. Plotkin

This figure shows the co-authorship network connecting the top 25 collaborators of Steven S. Plotkin. A scholar is included among the top collaborators of Steven S. Plotkin 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 Steven S. Plotkin. Steven S. Plotkin 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.
Kaplan, Johanne, Ebrima Gibbs, Beibei Zhao, et al.. (2025). Relationship between efficacy and preferential targeting of soluble Aβ aggregates. Alzheimer s & Dementia Translational Research & Clinical Interventions. 11(4). e70184–e70184.
2.
McAlary, Luke, et al.. (2024). Amyloidogenic regions in beta-strands II and III modulate the aggregation and toxicity of SOD1 in living cells. Open Biology. 14(6). 230418–230418. 2 indexed citations
3.
Pokrishevsky, Edward, Michèle G. DuVal, Luke McAlary, et al.. (2024). Tryptophan residues in TDP-43 and SOD1 modulate the cross-seeding and toxicity of SOD1. Journal of Biological Chemistry. 300(5). 107207–107207. 5 indexed citations
4.
Plotkin, Steven S., et al.. (2024). Testing the feasibility of targeting a conserved region on the S2 domain of the SARS-CoV-2 spike protein. Biophysical Journal. 123(8). 992–1005. 1 indexed citations
5.
Gibbs, Ebrima, et al.. (2023). De Novo Design of a β-Helix Tau Protein Scaffold: An Oligomer-Selective Vaccine Immunogen Candidate for Alzheimer’s Disease. ACS Chemical Neuroscience. 14(15). 2603–2617. 3 indexed citations
6.
Plotkin, Steven S., et al.. (2023). PROTHON: A Local Order Parameter-Based Method for Efficient Comparison of Protein Ensembles. Journal of Chemical Information and Modeling. 63(11). 3453–3461. 3 indexed citations
7.
Plotkin, Steven S., et al.. (2022). Ensemble Generation for Linear and Cyclic Peptides Using a Reservoir Replica Exchange Molecular Dynamics Implementation in GROMACS. The Journal of Physical Chemistry B. 126(49). 10384–10399. 6 indexed citations
8.
9.
Baudouin, Christophe, et al.. (2022). Misfolding-Associated Exposure of Natively Buried Residues in Mutant SOD1 Facilitates Binding to TRAF6. Journal of Molecular Biology. 434(16). 167697–167697. 5 indexed citations
10.
Gibbs, Ebrima, et al.. (2021). A method for systematically ranking therapeutic drug candidates using multiple uncertain screening criteria. Statistical Methods in Medical Research. 30(6). 1502–1522. 6 indexed citations
11.
Peng, Xubiao, Neil R. Cashman, & Steven S. Plotkin. (2018). Prediction of Misfolding-Specific Epitopes in SOD1 Using Collective Coordinates. The Journal of Physical Chemistry B. 122(49). 11662–11676. 22 indexed citations
12.
Farrawell, Natalie E., et al.. (2018). CuATSM Protects Against the In Vitro Cytotoxicity of Wild-Type-Like Copper–Zinc Superoxide Dismutase Mutants but not Mutants That Disrupt Metal Binding. ACS Chemical Neuroscience. 10(3). 1555–1564. 22 indexed citations
13.
Plotkin, Steven S., Neil R. Cashman, & Atanu Das. (2013). Computational Prediction of ALS Patient Survival Times from Protein Mechanical Properties. Biophysical Journal. 104(2). 577a–577a. 1 indexed citations
14.
Chen, Si & Steven S. Plotkin. (2012). Statistical mechanics of graph models and their implications for emergent manifolds. arXiv (Cornell University). 14. 1 indexed citations
15.
Guest, Will, Neil R. Cashman, & Steven S. Plotkin. (2009). Structure-Based Prediction of Unstable Regions in Proteins: Applications to Protein Misfolding Diseases. Bulletin of the American Physical Society. 3 indexed citations
16.
Plotkin, Steven S., et al.. (2009). BioVEC: A program for Biomolecule Visualization with Ellipsoidal Coarse-graining. Journal of Molecular Graphics and Modelling. 28(2). 140–145. 9 indexed citations
17.
Plotkin, Steven S., et al.. (2008). Minimal distance transformations between links and polymers: principles and examples. Journal of Physics Condensed Matter. 20(24). 244133–244133. 3 indexed citations
18.
Ejtehadi, Mohammad Reza, et al.. (2004). Three-body interactions improve the prediction of rate and mechanism in protein folding models. Proceedings of the National Academy of Sciences. 101(42). 15088–15093. 85 indexed citations
19.
Clementi, Cecilia & Steven S. Plotkin. (2004). The effects of nonnative interactions on protein folding rates: Theory and simulation. Protein Science. 13(7). 1750–1766. 139 indexed citations
20.
Plotkin, Steven S.. (2001). Speeding protein folding beyond the Gō model: How a little frustration sometimes helps. Proteins Structure Function and Bioinformatics. 45(4). 337–345. 59 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Gül H. Zerze Breakdown of academic impact, for papers by Philipp Selenko Breakdown of academic impact, for papers by Jens Danielsson Breakdown of academic impact, for papers by Nicolas L. Fawzi Breakdown of academic impact, for papers by Mikael Oliveberg Breakdown of academic impact, for papers by Daryl A. Bosco Breakdown of academic impact, for papers by François‐Xavier Theillet Breakdown of academic impact, for papers by Giulia Rossetti Breakdown of academic impact, for papers by Kent R. Thurber Breakdown of academic impact, for papers by Shambaditya Saha
Rankless by CCL
2026