Todd M. Baughman

14 total papers · 733 total citations
12 papers, 605 citations indexed

About

Todd M. Baughman is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, Todd M. Baughman has authored 12 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Todd M. Baughman's work include Drug Transport and Resistance Mechanisms (7 papers), Pharmacogenetics and Drug Metabolism (3 papers) and HIV/AIDS drug development and treatment (2 papers). Todd M. Baughman is often cited by papers focused on Drug Transport and Resistance Mechanisms (7 papers), Pharmacogenetics and Drug Metabolism (3 papers) and HIV/AIDS drug development and treatment (2 papers). Todd M. Baughman collaborates with scholars based in United States, United Kingdom and Singapore. Todd M. Baughman's co-authors include William J. Ehlhardt, Anne H. Dantzig, Robert L. Shepard, James J. Starling, Jin Cao, Thomas F. Bumol, Joseph W. Polli, Joan E. Humphreys, Cosette J. Serabjit‐Singh and Timothy K. Tippin and has published in prestigious journals such as Chemosphere, Journal of Pharmaceutical Sciences and European Journal of Medicinal Chemistry.

In The Last Decade

Todd M. Baughman

12 papers receiving 575 citations

Author Peers

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

Author Last Decade Papers Cites
Todd M. Baughman 401 221 172 102 85 12 605
John P. Keogh 370 0.9× 159 0.7× 177 1.0× 113 1.1× 63 0.7× 17 587
Ralph E. Davidson 390 1.0× 202 0.9× 216 1.3× 123 1.2× 57 0.7× 6 643
Heleen A. Bardelmeijer 414 1.0× 166 0.8× 157 0.9× 153 1.5× 46 0.5× 12 667
Stephan Kopp 438 1.1× 251 1.1× 156 0.9× 37 0.4× 114 1.3× 24 697
Daniel A.J. Bow 404 1.0× 105 0.5× 224 1.3× 190 1.9× 74 0.9× 17 598
John R. Strauss 285 0.7× 175 0.8× 155 0.9× 207 2.0× 36 0.4× 18 686
Gary D. Bowers 174 0.4× 187 0.8× 92 0.5× 129 1.3× 170 2.0× 24 618
Claire Denizot 309 0.8× 151 0.7× 159 0.9× 110 1.1× 44 0.5× 27 562
Sarah Shugarts 257 0.6× 129 0.6× 118 0.7× 134 1.3× 76 0.9× 13 686
Beth Williamson 227 0.6× 305 1.4× 66 0.4× 163 1.6× 75 0.9× 25 674

Countries citing papers authored by Todd M. Baughman

Since Specialization
Citations

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

Fields of papers citing papers by Todd M. Baughman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd M. Baughman

This figure shows the co-authorship network connecting the top 25 collaborators of Todd M. Baughman. A scholar is included among the top collaborators of Todd M. Baughman 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 Todd M. Baughman. Todd M. Baughman 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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