Thomas D. Sherman

43 total papers · 1.3k total citations
12 papers, 462 citations indexed

About

Thomas D. Sherman is a scholar working on Molecular Biology, Economics and Econometrics and Biophysics. According to data from OpenAlex, Thomas D. Sherman has authored 12 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Economics and Econometrics and 2 papers in Biophysics. Recurrent topics in Thomas D. Sherman's work include Single-cell and spatial transcriptomics (7 papers), Gene expression and cancer classification (3 papers) and Gene Regulatory Network Analysis (2 papers). Thomas D. Sherman is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Gene expression and cancer classification (3 papers) and Gene Regulatory Network Analysis (2 papers). Thomas D. Sherman collaborates with scholars based in United States, Russia and Canada. Thomas D. Sherman's co-authors include Elana J. Fertig, Genevieve Stein-O’Brien, Loyal A. Goff, Seth Blackshaw, Brian S. Clark, Emily F. Davis-Marcisak, Gabrielle H. Cannon, Fatemeh Rajaii, Clayton P. Santiago and Thanh Hoang and has published in prestigious journals such as Neuron, Bioinformatics and Cancer Research.

In The Last Decade

Thomas D. Sherman

12 papers receiving 458 citations

Hit Papers

Single-Cell RNA-Seq Analy... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Thomas D. Sherman 401 61 60 59 54 12 462
Clayton P. Santiago 454 1.1× 84 1.4× 50 0.8× 36 0.6× 65 1.2× 22 534
Fion Shiau 354 0.9× 69 1.1× 34 0.6× 24 0.4× 66 1.2× 6 406
Alex Chitsazan 405 1.0× 78 1.3× 20 0.3× 35 0.6× 25 0.5× 13 458
Fuguo Wu 376 0.9× 93 1.5× 22 0.4× 25 0.4× 87 1.6× 13 412
Dario Bressan 347 0.9× 40 0.7× 62 1.0× 113 1.9× 26 0.5× 9 455
Maciej Daniszewski 374 0.9× 67 1.1× 22 0.4× 29 0.5× 19 0.4× 15 463
Tércia Alves 246 0.6× 32 0.5× 44 0.7× 83 1.4× 70 1.3× 10 468
Kristin E. Cox 471 1.2× 138 2.3× 25 0.4× 30 0.5× 59 1.1× 17 526
Ganlu Hu 343 0.9× 72 1.2× 42 0.7× 87 1.5× 16 0.3× 13 455
Frédéric Blond 403 1.0× 134 2.2× 28 0.5× 61 1.0× 35 0.6× 21 518

Countries citing papers authored by Thomas D. Sherman

Since Specialization
Citations

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

Fields of papers citing papers by Thomas D. Sherman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas D. Sherman

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

All Works

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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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