Stephen Eppler
Impact in
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- Liver physiology and pathology
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- Transgenic Plants and Applications
Papers in
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- Viral Infectious Diseases and Gene Expression in Insects 1
- Glycosylation and Glycoproteins Research 1
- Melanoma and MAPK Pathways 1
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Nishit B. Modi (3 shared papers)Mathilde Marchand (2 shared papers)René Bruno (2 shared papers)Kate S. Carroll (1 shared paper)Phillip W. Berman (1 shared paper)Damon I. Papac (1 shared paper)Simren Mehta (1 shared paper)John B. Briggs (1 shared paper)
- Journals
- Cancer Chemotherapy and Pharmacology (2 papers)Thrombosis and Haemostasis (1 paper)Nature Biotechnology (1 paper)Clinical Pharmacology & Therapeutics (1 paper)Anti-Cancer Drugs (1 paper)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Stephen Eppler
10 papers receiving 406 citations
Peers
Comparison fields: 5 of 56
- Hepatology 43
- Biotechnology 43
- Radiology, Nuclear Medicine and Imaging 102
- Oncology 119
- 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 | 162 | |
| 2 | 2016 | 121 | |
| 3 | 1998 | 58 | |
| 4 | 2013 | 33 | |
| 5 | 2015 | 24 | |
| 6 | 2008 | 16 | |
| 7 | 1998 | 10 | |
| 8 | 2014 | 9 | |
| 9 | 2010 | 8 | |
| 10 | 2015 | 1 |
About Stephen Eppler
Stephen Eppler is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery, Oncology and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 442 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Acute Myocardial Infarction Research (2 papers), Liver physiology and pathology (2 papers), Coronary Interventions and Diagnostics (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Glycosylation and Glycoproteins Research (1 paper), Melanoma and MAPK Pathways (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Hepatology (43 citations), Biotechnology (43 citations), Radiology, Nuclear Medicine and Imaging (102 citations), Oncology (119 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, Kate S. Carroll, Phillip W. Berman, Damon I. Papac, Simren Mehta, John B. Briggs, Ted W. Love and David Peers. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Thrombosis and Haemostasis, Nature Biotechnology, Clinical Pharmacology & Therapeutics and Anti-Cancer Drugs.
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.