Thomas J. Beauchamp

36 total papers · 894 total citations
16 papers, 677 citations indexed

About

Thomas J. Beauchamp is a scholar working on Organic Chemistry, Molecular Biology and Oncology. According to data from OpenAlex, Thomas J. Beauchamp has authored 16 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Thomas J. Beauchamp's work include Cancer Treatment and Pharmacology (3 papers), Synthetic Organic Chemistry Methods (3 papers) and Psoriasis: Treatment and Pathogenesis (3 papers). Thomas J. Beauchamp is often cited by papers focused on Cancer Treatment and Pharmacology (3 papers), Synthetic Organic Chemistry Methods (3 papers) and Psoriasis: Treatment and Pathogenesis (3 papers). Thomas J. Beauchamp collaborates with scholars based in United States and Netherlands. Thomas J. Beauchamp's co-authors include Amos B. Smith, Matthew J. LaMarche, Michael D. Kaufman, Hirokazu Arimoto, Scott D. Rychnovsky, J. Craig Ruble, Brandon R. Rosen, Antonio Navarro, Kaoru Kobayashi and Yuping Qiu and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Organic Chemistry and Organic Letters.

In The Last Decade

Thomas J. Beauchamp

15 papers receiving 661 citations

Author Peers

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

Author Last Decade Papers Cites
Thomas J. Beauchamp 508 171 153 76 70 16 677
Richard C.A. Isaacs 467 0.9× 191 1.1× 197 1.3× 115 1.5× 47 0.7× 16 634
Martin J. Di Grandi 522 1.0× 205 1.2× 200 1.3× 107 1.4× 40 0.6× 19 696
Marc Liniger 387 0.8× 241 1.4× 70 0.5× 83 1.1× 44 0.6× 13 586
Nicholas J. Newcombe 499 1.0× 303 1.8× 88 0.6× 64 0.8× 39 0.6× 25 748
Katharine K. Duncan 548 1.1× 225 1.3× 79 0.5× 59 0.8× 27 0.4× 16 765
Kristi Leonard 337 0.7× 252 1.5× 183 1.2× 36 0.5× 59 0.8× 24 696
N. Paul King 581 1.1× 219 1.3× 273 1.8× 124 1.6× 34 0.5× 25 734
Chul Bom Lee 492 1.0× 145 0.8× 104 0.7× 60 0.8× 42 0.6× 14 553
Michaël Prakesch 325 0.6× 288 1.7× 64 0.4× 48 0.6× 21 0.3× 25 606
Tsunehiko Soga 419 0.8× 307 1.8× 207 1.4× 46 0.6× 22 0.3× 36 710

Countries citing papers authored by Thomas J. Beauchamp

Since Specialization
Citations

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

Fields of papers citing papers by Thomas J. Beauchamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas J. Beauchamp

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas J. Beauchamp. A scholar is included among the top collaborators of Thomas J. Beauchamp 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 J. Beauchamp. Thomas J. Beauchamp 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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