Jameson Travers
Impact in
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- Computational Drug Discovery Methods
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- Cholinesterase and Neurodegenerative Diseases
- Pharmacogenetics and Drug Metabolism
Papers in
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- Computational Drug Discovery Methods 5
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- Histone Deacetylase Inhibitors Research 1
- Glutathione Transferases and Polymorphisms 1
- Co-authors
- Carleen Klumpp‐Thomas (10 shared papers)Ruili Huang (8 shared papers)Menghang Xia (7 shared papers)Srilatha Sakamuru (6 shared papers)Tuan Xu (3 shared papers)Shuaizhang Li (2 shared papers)Anton Simeonov (5 shared papers)Masato Ooka (2 shared papers)
- Journals
- SLAS DISCOVERY (2 papers)Translational Oncology (1 paper)Endocrinology (1 paper)Archives of Toxicology (1 paper)SLAS TECHNOLOGY (1 paper)
- Partner nations
- United StatesSwedenHungary
In The Last Decade
Jameson Travers
9 papers receiving 148 citations
Peers
Comparison fields: 5 of 55
- Computational Theory and Mathematics 53
- Pharmacology 44
- Pharmacology 17
- Health, Toxicology and Mutagenesis 15
- Complementary and alternative medicine 8
Countries citing papers authored by Jameson Travers
This map shows the geographic impact of Jameson Travers'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 Jameson Travers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jameson Travers more than expected).
Fields of papers citing papers by Jameson Travers
This network shows the impact of papers produced by Jameson Travers. 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 Jameson Travers. The network helps show where Jameson Travers may publish in the future.
Co-authors
The 25 scholars most cited alongside Jameson Travers, 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 | 2021 | 35 | |
| 2 | 2021 | 29 | |
| 3 | 2022 | 23 | |
| 4 | 2023 | 20 | |
| 5 | 2018 | 16 | |
| 6 | 2019 | 12 | |
| 7 | 2021 | 7 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 |
About Jameson Travers
Jameson Travers is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Pharmacology and Oncology, having authored 11 papers that have together received 150 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Pharmacogenetics and Drug Metabolism (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Estrogen and related hormone effects (2 papers), Cell Image Analysis Techniques (1 paper), Gestational Trophoblastic Disease Studies (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Glutathione Transferases and Polymorphisms (1 paper). The work is most often cited by research in Computational Theory and Mathematics (53 citations), Pharmacology (44 citations), Pharmacology (17 citations), Health, Toxicology and Mutagenesis (15 citations) and Complementary and alternative medicine (8 citations). Jameson Travers has collaborated with scholars based in United States, Sweden and Hungary. Frequent co-authors include Carleen Klumpp‐Thomas, Ruili Huang, Menghang Xia, Srilatha Sakamuru, Tuan Xu, Shuaizhang Li, Anton Simeonov, Masato Ooka, Hui Guo and Elias S.J. Arnér. Their work appears in journals such as SLAS DISCOVERY, Translational Oncology, Endocrinology, Archives of Toxicology and SLAS TECHNOLOGY.
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.