Stephen D. Shank

2.7k total citations · 2 hit papers
18 papers, 1.2k citations indexed

About

Stephen D. Shank is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Stephen D. Shank has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Genetics and 5 papers in Computational Theory and Mathematics. Recurrent topics in Stephen D. Shank's work include Genomics and Phylogenetic Studies (8 papers), Genetic diversity and population structure (5 papers) and Evolution and Genetic Dynamics (4 papers). Stephen D. Shank is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Genetic diversity and population structure (5 papers) and Evolution and Genetic Dynamics (4 papers). Stephen D. Shank collaborates with scholars based in United States, Papua New Guinea and Australia. Stephen D. Shank's co-authors include Sergei L. Kosakovsky Pond, Steven Weaver, Spencer V. Muse, Stephanie J. Spielman, Michael Li, Sadie R Wisotsky, Brittany Rife Magalis, Anton Nekrutenko, Dave Bouvier and Ryan Velazquez and has published in prestigious journals such as Nature Communications, PLoS ONE and Molecular Biology and Evolution.

In The Last Decade

Stephen D. Shank

17 papers receiving 1.2k citations

Hit Papers

Datamonkey 2.0: A Modern Web Application for Characterizi... 2017 2026 2020 2023 2017 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen D. Shank United States 8 396 280 249 209 174 18 1.2k
Joe Parker United Kingdom 13 339 0.9× 263 0.9× 296 1.2× 167 0.8× 169 1.0× 18 1.2k
Camila J. Mazzoni Germany 20 504 1.3× 331 1.2× 168 0.7× 157 0.8× 392 2.3× 57 1.4k
S. Moola South Africa 6 304 0.8× 215 0.8× 301 1.2× 160 0.8× 104 0.6× 7 1.1k
Blair W. Perry United States 17 371 0.9× 471 1.7× 540 2.2× 172 0.8× 165 0.9× 47 1.4k
Martin Lott United Kingdom 8 437 1.1× 302 1.1× 327 1.3× 791 3.8× 113 0.6× 14 1.8k
Brittany Rife Magalis United States 14 360 0.9× 154 0.6× 308 1.2× 101 0.5× 110 0.6× 34 912
Darren P. Martin South Africa 6 317 0.8× 242 0.9× 397 1.6× 768 3.7× 128 0.7× 10 1.6k
James D. Wasmuth Canada 23 695 1.8× 206 0.7× 100 0.4× 282 1.3× 458 2.6× 50 1.8k
Mathieu Fourment Australia 19 620 1.6× 453 1.6× 364 1.5× 290 1.4× 234 1.3× 36 1.9k
Bradley J. Main United States 17 447 1.1× 244 0.9× 414 1.7× 210 1.0× 116 0.7× 20 1.3k

Countries citing papers authored by Stephen D. Shank

Since Specialization
Citations

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

Fields of papers citing papers by Stephen D. Shank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen D. Shank. 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 Stephen D. Shank. The network helps show where Stephen D. Shank may publish in the future.

Co-authorship network of co-authors of Stephen D. Shank

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

All Works

18 of 18 papers shown
1.
De‐Kayne, Rishi, Stephen D. Shank, Linelle Abueg, et al.. (2024). Ecological diversification of sea catfishes is accompanied by genome-wide signatures of positive selection. Nature Communications. 15(1). 10040–10040. 2 indexed citations
2.
Pond, Sergei L. Kosakovsky, Jean K. Millet, Ximena A. Olarte‐Castillo, et al.. (2023). Natural selection differences detected in key protein domains between non-pathogenic and pathogenic feline coronavirus phenotypes. Virus Evolution. 9(1). vead019–vead019. 5 indexed citations
3.
Guerler, Aysam, Dannon Baker, Marius van den Beek, et al.. (2023). Fast and accurate genome-wide predictions and structural modeling of protein–protein interactions using Galaxy. BMC Bioinformatics. 24(1). 263–263. 1 indexed citations
4.
Lucaci, Alexander G., Stephen D. Shank, Dave Bouvier, et al.. (2022). RASCL: Rapid Assessment of Selection in CLades through molecular sequence analysis. PLoS ONE. 17(11). e0275623–e0275623. 3 indexed citations
5.
Lucaci, Alexander G., Sadie R Wisotsky, Stephen D. Shank, Steven Weaver, & Sergei L. Kosakovsky Pond. (2021). Extra base hits: Widespread empirical support for instantaneous multiple-nucleotide changes. PLoS ONE. 16(3). e0248337–e0248337. 11 indexed citations
6.
Shank, Stephen D., et al.. (2020). Characterizing lineage-specific evolution and the processes driving genomic diversification in chordates. BMC Evolutionary Biology. 20(1). 24–24. 1 indexed citations
7.
Wisotsky, Sadie R, Sergei L. Kosakovsky Pond, Stephen D. Shank, & Spencer V. Muse. (2020). Synonymous Site-to-Site Substitution Rate Variation Dramatically Inflates False Positive Rates of Selection Analyses: Ignore at Your Own Peril. Molecular Biology and Evolution. 37(8). 2430–2439. 45 indexed citations
8.
Strickland, Samantha L., Stephen D. Shank, Patrick Autissier, et al.. (2020). Phyloanatomic characterization of the distinct T cell and monocyte contributions to the peripheral blood HIV population within the host. Virus Evolution. 6(1). veaa005–veaa005. 3 indexed citations
9.
Spielman, Stephanie J., Steven Weaver, Stephen D. Shank, et al.. (2019). Evolution of Viral Genomes: Interplay Between Selection, Recombination, and Other Forces. Methods in molecular biology. 427–468. 46 indexed citations
10.
Pond, Sergei L. Kosakovsky, Art F. Y. Poon, Ryan Velazquez, et al.. (2019). HyPhy 2.5—A Customizable Platform for Evolutionary Hypothesis Testing Using Phylogenies. Molecular Biology and Evolution. 37(1). 295–299. 367 indexed citations breakdown →
11.
Shank, Stephen D., Steven Weaver, & Sergei L. Kosakovsky Pond. (2018). phylotree.js - a JavaScript library for application development and interactive data visualization in phylogenetics. BMC Bioinformatics. 19(1). 276–276. 37 indexed citations
12.
Hermansen, Russell A., et al.. (2017). The Adaptive Evolution Database (TAED): A New Release of a Database of Phylogenetically Indexed Gene Families from Chordates. Journal of Molecular Evolution. 85(1-2). 46–56. 4 indexed citations
13.
Weaver, Steven, Stephen D. Shank, Stephanie J. Spielman, et al.. (2017). Datamonkey 2.0: A Modern Web Application for Characterizing Selective and Other Evolutionary Processes. Molecular Biology and Evolution. 35(3). 773–777. 619 indexed citations breakdown →
14.
Shank, Stephen D., et al.. (2015). A short note on rank-2 relaxation for waveform inversion. 4 indexed citations
15.
Shank, Stephen D., Valeria Simoncini, & Daniel B. Szyld. (2015). Efficient low-rank solution of generalized Lyapunov equations. Numerische Mathematik. 134(2). 327–342. 34 indexed citations
16.
Shank, Stephen D.. (2014). Low-rank solution methods for large-scale linear matrix equations. TUScholarShare (Temple University). 1 indexed citations
17.
Shank, Stephen D. & Valeria Simoncini. (2013). Krylov Subspace Methods for Large-Scale Constrained Sylvester Equations. SIAM Journal on Matrix Analysis and Applications. 34(4). 1448–1463. 10 indexed citations
18.
Frommer, Andreas, et al.. (2013). Overlapping Blocks by Growing a Partition with Applications to Preconditioning. SIAM Journal on Scientific Computing. 35(1). A453–A473. 2 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

Rankless by CCL
2026