Brian M. Shewchuk

28 total papers · 572 total citations
22 papers, 469 citations indexed

About

Brian M. Shewchuk is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Brian M. Shewchuk has authored 22 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Genetics. Recurrent topics in Brian M. Shewchuk's work include Growth Hormone and Insulin-like Growth Factors (9 papers), Genomics and Chromatin Dynamics (5 papers) and RNA modifications and cancer (4 papers). Brian M. Shewchuk is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (9 papers), Genomics and Chromatin Dynamics (5 papers) and RNA modifications and cancer (4 papers). Brian M. Shewchuk collaborates with scholars based in United States and Canada. Brian M. Shewchuk's co-authors include Stephen A. Liebhaber, Nancy E. Cooke, Ross C. Hardison, L. Sylvia, Susan E. Yost, Saame Raza Shaikh, Perrine Lallemand, Yugong Ho, Jenifer I. Fenton and Jarrett T. Whelan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Brian M. Shewchuk

22 papers receiving 465 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Brian M. Shewchuk 287 117 90 77 65 22 469
Donatella Tombaccini 267 0.9× 127 1.1× 45 0.5× 73 0.9× 71 1.1× 30 484
Vicki L. Nebes 188 0.7× 93 0.8× 47 0.5× 111 1.4× 63 1.0× 23 472
Hirobumi Kishioka 225 0.8× 74 0.6× 51 0.6× 69 0.9× 43 0.7× 20 446
Matthew Hoffman 254 0.9× 56 0.5× 140 1.6× 73 0.9× 31 0.5× 22 522
Ji Ho Suh 297 1.0× 107 0.9× 128 1.4× 58 0.8× 44 0.7× 27 535
Hema Kalyanaraman 260 0.9× 94 0.8× 76 0.8× 91 1.2× 33 0.5× 21 498
Isabel Castro‐Piedras 344 1.2× 83 0.7× 105 1.2× 74 1.0× 30 0.5× 31 552
Susan E. Stred 152 0.5× 218 1.9× 87 1.0× 81 1.1× 49 0.8× 12 404
F Russo-Marie 198 0.7× 83 0.7× 69 0.8× 89 1.2× 27 0.4× 24 454
Dehuang Guo 268 0.9× 55 0.5× 53 0.6× 80 1.0× 35 0.5× 18 535

Countries citing papers authored by Brian M. Shewchuk

Since Specialization
Citations

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

Fields of papers citing papers by Brian M. Shewchuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian M. Shewchuk. 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 Brian M. Shewchuk. The network helps show where Brian M. Shewchuk may publish in the future.

Co-authorship network of co-authors of Brian M. Shewchuk

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

All Works

Loading papers...

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