Stephen Eppler
Impact in
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- Liver physiology and pathology
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
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- Signaling Pathways in Disease 1
- Oncology 4
- HER2/EGFR in Cancer Research 2
- Colorectal Cancer Treatments and Studies 1
- Cancer Treatment and Pharmacology 1
- Co-authors
- Nishit B. Modi (3 shared papers)Mathilde Marchand (2 shared papers)René Bruno (2 shared papers)Oyewale O. Abidoye (1 shared paper)Laurent Claret (1 shared paper)Vanessa Chisholm (1 shared paper)Jiangtao Jin (1 shared paper)John B. Briggs (1 shared paper)
- Journals
- Cancer Chemotherapy and Pharmacology (2 papers)Journal of Clinical Oncology (1 paper)The Journal of Clinical Pharmacology (1 paper)Clinical Pharmacology & Therapeutics (1 paper)Thrombosis and Haemostasis (1 paper)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Stephen Eppler
9 papers receiving 378 citations
Peers
Comparison fields: 5 of 56
- Hepatology 45
- Oncology 143
- Biotechnology 40
- Radiology, Nuclear Medicine and Imaging 99
- Internal Medicine 14
Countries citing papers authored by Stephen Eppler
This map shows the geographic impact of Stephen Eppler'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 Stephen Eppler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Eppler more than expected).
Fields of papers citing papers by Stephen Eppler
This network shows the impact of papers produced by Stephen Eppler. 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 Stephen Eppler. The network helps show where Stephen Eppler may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Eppler, 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 | 1999 | 147 | |
| 2 | 2016 | 116 | |
| 3 | 1998 | 49 | |
| 4 | 2013 | 33 | |
| 5 | 2015 | 22 | |
| 6 | 2008 | 14 | |
| 7 | 1998 | 9 | |
| 8 | 2010 | 8 | |
| 9 | 2014 | 6 |
About Stephen Eppler
Stephen Eppler is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Surgery and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 404 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Coronary Interventions and Diagnostics (2 papers), Acute Myocardial Infarction Research (2 papers), HER2/EGFR in Cancer Research (2 papers), Liver physiology and pathology (2 papers), Colorectal Cancer Treatments and Studies (1 paper), Signaling Pathways in Disease (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Hepatology (45 citations), Oncology (143 citations), Biotechnology (40 citations), Radiology, Nuclear Medicine and Imaging (99 citations) and Internal Medicine (14 citations). Stephen Eppler has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Nishit B. Modi, Mathilde Marchand, René Bruno, Oyewale O. Abidoye, Laurent Claret, Vanessa Chisholm, Jiangtao Jin, John B. Briggs, Damon I. Papac and Martin Gawlitzek. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Journal of Clinical Oncology, The Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics and Thrombosis and Haemostasis.
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.