Michael G. Feasel
Impact in
- Toxicology top 2%
- Forensic Toxicology and Drug Analysis
-
- Computational Drug Discovery Methods
Papers in
-
- Metabolomics and Mass Spectrometry Studies 4
- Pharmacological Receptor Mechanisms and Effects 3
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- Forensic Toxicology and Drug Analysis 4
- Co-authors
- Anders Wallqvist (3 shared papers)Kyle Glover (3 shared papers)Ruifeng Liu (3 shared papers)Ariane Wohlfarth (2 shared papers)J. Michael Nilles (1 shared paper)Shaokun Pang (1 shared paper)Marilyn A. Huestis (2 shared papers)Jennifer W. Sekowski (2 shared papers)
- Journals
- Toxicological Sciences (2 papers)Journal of Chemical Information and Modeling (2 papers)Frontiers in Psychiatry (1 paper)ACS Applied Bio Materials (1 paper)ACS Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Michael G. Feasel
12 papers receiving 293 citations
Peers
Comparison fields: 5 of 81
- Toxicology 91
- Computational Theory and Mathematics 74
- Anesthesiology and Pain Medicine 19
- Small Animals 19
- Emergency Medicine 20
Countries citing papers authored by Michael G. Feasel
This map shows the geographic impact of Michael G. Feasel'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 G. Feasel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael G. Feasel more than expected).
Fields of papers citing papers by Michael G. Feasel
This network shows the impact of papers produced by Michael G. Feasel. 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 G. Feasel. The network helps show where Michael G. Feasel may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael G. Feasel, 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 | 2016 | 76 | |
| 2 | 2018 | 39 | |
| 3 | 2019 | 38 | |
| 4 | 2018 | 36 | |
| 5 | 2018 | 30 | |
| 6 | 2019 | 22 | |
| 7 | 2021 | 17 | |
| 8 | 2019 | 16 | |
| 9 | 2022 | 15 | |
| 10 | 2018 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2021 | 4 | |
| 13 | Translational Human Health Assessment of Carfentanil Using an Experimentally Refined PBPK Model | 2018 | 1 |
About Michael G. Feasel
Michael G. Feasel is a scholar working on Molecular Biology, Toxicology, Computational Theory and Mathematics, Public Health, Environmental and Occupational Health and Physiology, having authored 13 papers that have together received 303 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (4 papers), Computational Drug Discovery Methods (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Opioid Use Disorder Treatment (2 papers), Biosensors and Analytical Detection (2 papers), Pain Mechanisms and Treatments (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Toxicology (91 citations), Computational Theory and Mathematics (74 citations), Anesthesiology and Pain Medicine (19 citations), Small Animals (19 citations) and Emergency Medicine (20 citations). Michael G. Feasel has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Anders Wallqvist, Kyle Glover, Ruifeng Liu, Ariane Wohlfarth, J. Michael Nilles, Shaokun Pang, Marilyn A. Huestis, Jennifer W. Sekowski, Daniel J. Angelini and Hao Wang. Their work appears in journals such as Toxicological Sciences, Journal of Chemical Information and Modeling, Frontiers in Psychiatry, ACS Applied Bio Materials 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.