Jennifer Epler
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
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- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- DNA Repair Mechanisms
Papers in
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- Cell Adhesion Molecules Research 2
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- PI3K/AKT/mTOR signaling in cancer 4
- Protein Kinase Regulation and GTPase Signaling 2
- Co-authors
- Yoji Shimizu (2 shared papers)Stanley R. Riddell (1 shared paper)Lupe G. Salazar (1 shared paper)Heekyoung Chung (1 shared paper)Nadine R. Ottoson (1 shared paper)Kwun Wah Wen (1 shared paper)Aurélie Baguet (1 shared paper)Mark Bix (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (5 papers)ACS Medicinal Chemistry Letters (2 papers)Journal of Immunology Research (1 paper)Molecular Cancer Therapeutics (1 paper)Annals of Oncology (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Jennifer Epler
13 papers receiving 466 citations
Peers
Comparison fields: 5 of 38
- Immunology and Allergy 28
- Molecular Biology 140
- Computational Theory and Mathematics 30
- Aging 2
- Oncology 30
Countries citing papers authored by Jennifer Epler
This map shows the geographic impact of Jennifer Epler'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 Jennifer Epler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Epler more than expected).
Fields of papers citing papers by Jennifer Epler
This network shows the impact of papers produced by Jennifer Epler. 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 Jennifer Epler. The network helps show where Jennifer Epler may publish in the future.
Co-authors
The 25 scholars most cited alongside Jennifer Epler, 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 | 2015 | 65 | |
| 2 | 2018 | 65 | |
| 3 | 2016 | 59 | |
| 4 | 2006 | 45 | |
| 5 | 2012 | 43 | |
| 6 | 2000 | 40 | |
| 7 | 2013 | 29 | |
| 8 | 2013 | 29 | |
| 9 | 2012 | 24 | |
| 10 | 2011 | 23 | |
| 11 | 2004 | 22 | |
| 12 | 2015 | 16 | |
| 13 | 2000 | 15 | |
| 14 | 2020 | 0 |
About Jennifer Epler
Jennifer Epler is a scholar working on Immunology and Allergy, Molecular Biology, Reproductive Medicine, Immunology and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 475 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (4 papers), Cell Adhesion Molecules Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Immunotherapy and Immune Responses (1 paper), Ovarian cancer diagnosis and treatment (1 paper) and Research on Leishmaniasis Studies (1 paper). The work is most often cited by research in Immunology and Allergy (28 citations), Molecular Biology (140 citations), Computational Theory and Mathematics (30 citations), Aging (2 citations) and Oncology (30 citations). Jennifer Epler has collaborated with scholars based in United States and France. Frequent co-authors include Yoji Shimizu, Stanley R. Riddell, Lupe G. Salazar, Heekyoung Chung, Nadine R. Ottoson, Kwun Wah Wen, Aurélie Baguet, Mark Bix, Elizabeth R. Blackwood and Shiva Malek. Their work appears in journals such as Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Journal of Immunology Research, Molecular Cancer Therapeutics and Annals of Oncology.
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.