Jameson Travers

606 total citations
11 papers, 150 citations indexed

About

Jameson Travers is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, Jameson Travers has authored 11 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Theory and Mathematics, 4 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Jameson Travers's work include Computational Drug Discovery Methods (5 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Estrogen and related hormone effects (2 papers). Jameson Travers is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Estrogen and related hormone effects (2 papers). Jameson Travers collaborates with scholars based in United States, Sweden and Hungary. Jameson Travers's co-authors include Carleen Klumpp‐Thomas, Ruili Huang, Menghang Xia, Srilatha Sakamuru, Tuan Xu, Shuaizhang Li, Anton Simeonov, Masato Ooka, Elias S.J. Arnér and Min Shen and has published in prestigious journals such as Environmental Health Perspectives, International Journal of Molecular Sciences and Endocrinology.

In The Last Decade

Jameson Travers

9 papers receiving 148 citations

Peers

Jameson Travers

MB

CTM

PHARM

OC

PHARM

Misha Itkin United States

Alexander Fekete United States

Daniel Medina-Cleghorn United States

Rebecca L. Frkic Australia

Dominique Burger Switzerland

Shiben Wang China

Briana Foley United States

Yuko Ogasawara Japan

Ermias Mergia Terefe United States

Wenjie Liu China

Misha Itkin United States

Jameson Travers

96 ×1.8

MB

109 ×2.1

CTM

15 ×0.3

PHARM

11 ×0.4

OC

22 ×1.3

PHARM

Citations per year, relative to Jameson Travers Jameson Travers (= 1×) peers Misha Itkin

Countries citing papers authored by Jameson Travers

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jameson Travers

This figure shows the co-authorship network connecting the top 25 collaborators of Jameson Travers. A scholar is included among the top collaborators of Jameson Travers based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jameson Travers. Jameson Travers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Luo, Xi, Li Zhang, Srilatha Sakamuru, et al.. (2025). Systematic evaluation of Tox21 compounds that target β-adrenergic receptors and their role in cardiotoxicity. Toxicology and Applied Pharmacology. 505. 117567–117567.

2.

Sakamuru, Srilatha, Jameson Travers, Carleen Maitland, et al.. (2025). Profiling the Tox21 Compound Library for Their Inhibitory Effects on Cytochrome P450 Enzymes. International Journal of Molecular Sciences. 26(11). 4976–4976.

3.

Lynch, Caitlin, Jameson Travers, Srilatha Sakamuru, et al.. (2024). Identification of human pregnane X receptor antagonists utilizing a high-throughput screening platform. Frontiers in Pharmacology. 15. 1448744–1448744. 1 indexed citations

4.

Yang, Shu, Li Zhang, Kamal Khan, et al.. (2024). Identification of Environmental Compounds That May Trigger Early Female Puberty by Activating Human GnRHR and KISS1R. Endocrinology. 165(10). 7 indexed citations

5.

Cheff, Dorian M., Hui Guo, Jameson Travers, et al.. (2023). Development of an assay pipeline for the discovery of novel small molecule inhibitors of human glutathione peroxidases GPX1 and GPX4. Redox Biology. 63. 102719–102719. 20 indexed citations

6.

Ooka, Masato, Jinghua Zhao, Pranav Shah, et al.. (2022). Identification of environmental chemicals that activate p53 signaling after in vitro metabolic activation. Archives of Toxicology. 96(7). 1975–1987. 23 indexed citations

7.

Li, Shuaizhang, Jinghua Zhao, Ruili Huang, et al.. (2021). Profiling the Tox21 Chemical Collection for Acetylcholinesterase Inhibition. Environmental Health Perspectives. 129(4). 47008–47008. 29 indexed citations

8.

Li, Shuaizhang, Jameson Travers, Tuan Xu, et al.. (2021). Identification of Compounds for Butyrylcholinesterase Inhibition. SLAS DISCOVERY. 26(10). 1355–1364. 35 indexed citations

9.

Klumpp‐Thomas, Carleen, Adam Yasgar, Jameson Travers, et al.. (2021). Cross-Platform Bayesian Optimization System for Autonomous Biological Assay Development. SLAS TECHNOLOGY. 26(6). 579–590. 7 indexed citations

10.

Lee, Olivia W., Dorian M. Cheff, Tobie D. Lee, et al.. (2019). Cytotoxic Profiling of Annotated and Diverse Chemical Libraries Using Quantitative High-Throughput Screening. SLAS DISCOVERY. 25(1). 9–20. 12 indexed citations

11.

Gorshkov, Kirill, Ni Sima, Wei Sun, et al.. (2018). Quantitative Chemotherapeutic Profiling of Gynecologic Cancer Cell Lines Using Approved Drugs and Bioactive Compounds. Translational Oncology. 12(3). 441–452. 16 indexed citations

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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