Steve Eppler
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Ophthalmology top 5%
- Retinal Diseases and Treatments
Papers in
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- Pharmacogenetics and Drug Metabolism 5
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Jianfeng Lü (4 shared papers)Bert L. Lum (4 shared papers)René Bruno (2 shared papers)Jacques Gaudreault (1 shared paper)William F. Novotny (1 shared paper)Ashok K. Rakhit (3 shared papers)Marta Hamilton (3 shared papers)Lisa A. Damico‐Beyer (2 shared papers)
- Journals
- Cancer Chemotherapy and Pharmacology (3 papers)Clinical Pharmacology & Therapeutics (2 papers)Molecular Pharmaceutics (1 paper)Clinical Cancer Research (1 paper)The Journal of Clinical Pharmacology (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Steve Eppler
12 papers receiving 952 citations
Peers
Comparison fields: 5 of 65
- Pharmacology 153
- Ophthalmology 119
- Pharmaceutical Science 61
- Pediatrics, Perinatology and Child Health 96
- Oncology 135
Countries citing papers authored by Steve Eppler
This map shows the geographic impact of Steve 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 Steve Eppler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Eppler more than expected).
Fields of papers citing papers by Steve Eppler
This network shows the impact of papers produced by Steve 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 Steve Eppler. The network helps show where Steve Eppler may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve 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 | 2008 | 306 | |
| 2 | 2006 | 201 | |
| 3 | 2013 | 173 | |
| 4 | 2006 | 91 | |
| 5 | 2014 | 58 | |
| 6 | 2010 | 56 | |
| 7 | 2013 | 36 | |
| 8 | 2016 | 33 | |
| 9 | 2018 | 19 | |
| 10 | 2013 | 9 | |
| 11 | 2014 | 8 | |
| 12 | 2005 | 4 |
About Steve Eppler
Steve Eppler is a scholar working on Pharmacology, Radiology, Nuclear Medicine and Imaging, Oncology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 994 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Lung Cancer Treatments and Mutations (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Pharmaceutical studies and practices (2 papers), Drug Solubulity and Delivery Systems (1 paper), Analytical Methods in Pharmaceuticals (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Pharmacology (153 citations), Ophthalmology (119 citations), Pharmaceutical Science (61 citations), Pediatrics, Perinatology and Child Health (96 citations) and Oncology (135 citations). Steve Eppler has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Jianfeng Lü, Bert L. Lum, René Bruno, Jacques Gaudreault, William F. Novotny, Ashok K. Rakhit, Marta Hamilton, Lisa A. Damico‐Beyer, Tong Lu and Nelson L. ‘Shasha’ Jumbe. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Clinical Pharmacology & Therapeutics, Molecular Pharmaceutics, Clinical Cancer Research and The Journal of Clinical Pharmacology.
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.