Heath C. Thomas

2.0k citations
31 papers · 1.4k · h-index 18

Impact in

Papers in

    • Melanoma and MAPK Pathways 3
    • Cell death mechanisms and regulation 3
    • Molecular Biology Techniques and Applications 3
    • Hepatitis C virus research 3

Heath C. Thomas

29 papers receiving 1.3k citations

Peers

Heath C. Thomas
Comparison fields: 5 of 109
  • Pathology and Forensic Medicine 203
  • Hepatology 82
  • Molecular Biology 674
  • Immunology 195
  • Cardiology and Cardiovascular Medicine 195
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Heath C. Thomas relative to Brian Herman United States Brian Herman's profile →
Citations per field
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Citations per year

Countries citing papers authored by Heath C. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Heath C. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Heath C. Thomas, 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 Heath C. Thomas Line = papers co-authored together Heath C. Thomas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000365
2 2000216
3 1998149
4 200984
5 200455
6 200554
7 199847
8 199633
9 198630
10 198628
11 199327
12 199625
13 198125
14 200623
15 201323
16 199822
17 201018
18
The immune response to hepatitis B virus.
198718
19 200916
20 201416

About Heath C. Thomas

Heath C. Thomas is a scholar working on Molecular Biology, Hepatology, Small Animals, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Animal testing and alternatives (4 papers), Melanoma and MAPK Pathways (3 papers), Hepatitis B Virus Studies (3 papers), Cell death mechanisms and regulation (3 papers), Hepatitis C virus research (3 papers), Molecular Biology Techniques and Applications (3 papers), Immunotoxicology and immune responses (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (203 citations), Hepatology (82 citations), Molecular Biology (674 citations), Immunology (195 citations) and Cardiology and Cardiovascular Medicine (195 citations). Heath C. Thomas has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include John C. Lee, Chuanlin Wang, Giora Feuerstein, Tianli Yue, Juan-Li Gu, Sanjay Kumar, Eliot H. Ohlstein, Beverly E. Maleeff, Xinling Ma and Marshall S. Scicchitano. Their work appears in journals such as Toxicologic Pathology, Toxicology and Applied Pharmacology, Seminars in Liver Disease, Journal of Pharmacology and Experimental Therapeutics and Journal of Molecular and Cellular Cardiology.

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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