Thomas M. Ehrman
Impact in
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
- Microbial Natural Products and Biosynthesis
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- Computational Drug Discovery Methods
Papers in
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- Metabolomics and Mass Spectrometry Studies 2
- Phosphodiesterase function and regulation 2
- Plant biochemistry and biosynthesis 1
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- Pharmacological Effects of Natural Compounds 5
- Co-authors
- Peter J. Hylands (9 shared papers)David J. Barlow (9 shared papers)Alessandro Buriani (1 shared paper)Ivano Eberini (1 shared paper)E. Bosisio (1 shared paper)Silvia Paoletta (1 shared paper)Dirk Wildeboer (1 shared paper)Glyn B. Steventon (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (3 papers)Bioorganic & Medicinal Chemistry (2 papers)Current Pharmaceutical Design (1 paper)Journal of Ethnopharmacology (1 paper)ChemInform (2 papers)
- Partner nations
- United KingdomItaly
In The Last Decade
Thomas M. Ehrman
9 papers receiving 316 citations
Peers
Comparison fields: 5 of 72
- Pharmacology 93
- Computational Theory and Mathematics 129
- Complementary and alternative medicine 51
- Pharmacology 55
- Toxicology 11
Countries citing papers authored by Thomas M. Ehrman
This map shows the geographic impact of Thomas M. Ehrman'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 M. Ehrman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas M. Ehrman more than expected).
Fields of papers citing papers by Thomas M. Ehrman
This network shows the impact of papers produced by Thomas M. Ehrman. 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 M. Ehrman. The network helps show where Thomas M. Ehrman may publish in the future.
Co-authors
The 8 scholars most cited alongside Thomas M. Ehrman, 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 | 2007 | 66 | |
| 2 | 2007 | 63 | |
| 3 | 2007 | 50 | |
| 4 | 2012 | 49 | |
| 5 | 2010 | 46 | |
| 6 | 2008 | 37 | |
| 7 | 2010 | 10 | |
| 8 | 2007 | 4 | |
| 9 | 2007 | 1 |
About Thomas M. Ehrman
Thomas M. Ehrman is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Organic Chemistry and Complementary and alternative medicine, having authored 9 papers that have together received 326 indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (5 papers), Computational Drug Discovery Methods (4 papers), Phytochemistry and Biological Activities (3 papers), Synthesis and biological activity (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Phosphodiesterase function and regulation (2 papers), Traditional Chinese Medicine Studies (2 papers) and Plant biochemistry and biosynthesis (1 paper). The work is most often cited by research in Pharmacology (93 citations), Computational Theory and Mathematics (129 citations), Complementary and alternative medicine (51 citations), Pharmacology (55 citations) and Toxicology (11 citations). Thomas M. Ehrman has collaborated with scholars based in United Kingdom and Italy. Frequent co-authors include Peter J. Hylands, David J. Barlow, Alessandro Buriani, Ivano Eberini, E. Bosisio, Silvia Paoletta, Dirk Wildeboer and Glyn B. Steventon. Their work appears in journals such as Journal of Chemical Information and Modeling, Bioorganic & Medicinal Chemistry, Current Pharmaceutical Design, Journal of Ethnopharmacology and ChemInform.
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.