Jonathan Bauman
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 17
- Drug-Induced Hepatotoxicity and Protection 5
- Inflammatory mediators and NSAID effects 3
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- Computational Drug Discovery Methods 2
- Toxicology top 5%
- Microbiology top 5%
- Oncology top 10%
- Drug Transport and Resistance Mechanisms 5
- Colorectal Cancer Treatments and Studies 2
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- Analytical Chemistry and Chromatography 2
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- Cancer therapeutics and mechanisms 2
- Co-authors
- Amit S. KalgutkarDavid A. PriceDaniel P. WalkerMichael D. AleoThomas A. BaillieAntonia F. StepanTheunis C. GoosenR. Scott Obach
- Journals
- Drug Metabolism and Disposition (10 papers)Chemical Research in Toxicology (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)
- Partner nations
- United StatesDenmarkIsrael
In The Last Decade
Jonathan Bauman
28 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Pharmacology 650
- Computational Theory and Mathematics 264
- Toxicology 45
- Microbiology 77
- Oncology 325
Countries citing papers authored by Jonathan Bauman
This map shows the geographic impact of Jonathan Bauman'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 Jonathan Bauman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Bauman more than expected).
Fields of papers citing papers by Jonathan Bauman
This network shows the impact of papers produced by Jonathan Bauman. 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 Jonathan Bauman. The network helps show where Jonathan Bauman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan Bauman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 7 | |
| 3 | 2022 | 24 | |
| 4 | David W. Piotrowski, * Kentaro Futatsugi, Agustin Casimiro-Garcia, Liuqing Wei, Matthew F. Sammons, Michael Herr, Wenhua Jiao, Sophie Y. Lavergne, Steven B. Co ff ey, Stephen W. Wright, Kun Song, Paula M. Loria, Mary Ellen Banker, Donna N. Petersen, and J | 2018 | 3 |
| 5 | 2014 | 41 | |
| 6 | 2012 | 122 | |
| 7 | 2011 | 304 | |
| 8 | 2010 | 53 | |
| 9 | 2010 | 10 | |
| 10 | 2009 | 6 | |
| 11 | 2009 | 15 | |
| 12 | 2009 | 16 | |
| 13 | 2008 | 60 | |
| 14 | 2008 | 19 | |
| 15 | 2007 | 46 | |
| 16 | 2007 | 45 | |
| 17 | 2005 | 16 | |
| 18 | In vitro ADME phenotyping in drug discovery: current challenges and future solutions. | 2005 | 12 |
| 19 | 2003 | 39 | |
| 20 | 2002 | 18 |
About Jonathan Bauman
Jonathan Bauman is a scholar working on Pharmacology, Oncology, Toxicology, Pharmacology and Critical Care and Intensive Care Medicine, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (17 papers), Drug Transport and Resistance Mechanisms (5 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Inflammatory mediators and NSAID effects (3 papers), Analytical Chemistry and Chromatography (2 papers), Computational Drug Discovery Methods (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Pharmacology (650 citations), Computational Theory and Mathematics (264 citations), Toxicology (45 citations), Microbiology (77 citations) and Oncology (325 citations). Jonathan Bauman has collaborated with scholars based in United States, Denmark and Israel. Frequent co-authors include Amit S. Kalgutkar, David A. Price, Daniel P. Walker, Michael D. Aleo, Thomas A. Baillie, Antonia F. Stepan, Theunis C. Goosen, R. Scott Obach, J. Andrew Williams and Robert L. Walsky. Their work appears in journals such as Drug Metabolism and Disposition, Chemical Research in Toxicology, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry and ACS Medicinal Chemistry Letters.
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.