Michael H. Tarbit

2.8k citations
43 papers · 2.3k · h-index 27

Impact in

Papers in

    • Pharmacogenetics and Drug Metabolism 18
    • Drug-Induced Hepatotoxicity and Protection 3
    • Antifungal resistance and susceptibility 9

Michael H. Tarbit

43 papers receiving 2.2k citations

Peers

Michael H. Tarbit
Comparison fields: 5 of 120
  • Pharmacology 883
  • Computational Theory and Mathematics 405
  • Infectious Diseases 409
  • Obstetrics and Gynecology 140
  • Biochemistry 137
Replace Qingcheng Mao with:
Qingcheng Mao United States
Don K. Walker United Kingdom
David R. Jones United States
Hannah M. Jones United States
Kenji Otsubo Japan
Philip C. Smith United States
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James L. Maggs United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Michael H. Tarbit

Since Specialization
Citations

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

Fields of papers citing papers by Michael H. Tarbit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael H. Tarbit. 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 Michael H. Tarbit. The network helps show where Michael H. Tarbit may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael H. Tarbit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael H. Tarbit Line = papers co-authored together Michael H. Tarbit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985305
2 1996254
3 2002166
4 1995121
5 199099
6 199889
7 199680
8 197079
9 199778
10 199877
11 199469
12 197067
13 199960
14 198657
15 199856
16 199356
17 199955
18 199152
19 199949
20 199945

About Michael H. Tarbit

Michael H. Tarbit is a scholar working on Pharmacology, Infectious Diseases, Oncology, Computational Theory and Mathematics and Molecular Biology, having authored 43 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (18 papers), Antifungal resistance and susceptibility (9 papers), Computational Drug Discovery Methods (8 papers), Drug Transport and Resistance Mechanisms (7 papers), Analytical Chemistry and Chromatography (5 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Receptor Mechanisms and Signaling (3 papers) and Nail Diseases and Treatments (3 papers). The work is most often cited by research in Pharmacology (883 citations), Computational Theory and Mathematics (405 citations), Infectious Diseases (409 citations), Obstetrics and Gynecology (140 citations) and Biochemistry (137 citations). Michael H. Tarbit has collaborated with scholars based in United Kingdom, United States and Uganda. Frequent co-authors include Michael Humphrey, Peter Eddershaw, S. Jevons, Peter S. Goldfarb, Alan Beresford, G Farrer-Brown, J. O. W. Beilby, David F. Lewis, Harold E. Selick and Michael J. Stubbins. Their work appears in journals such as Drug Metabolism and Disposition, Xenobiotica, BJOG An International Journal of Obstetrics & Gynaecology, Biochemical Pharmacology and Biochemical Society Transactions.

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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