Eric Woolf
Impact in
- Analytical Chemistry top 0.5%
- Analytical Methods in Pharmaceuticals
- Virology top 2%
Papers in
- Pharmacology 33
- Inflammatory mediators and NSAID effects 17
- Antibiotics Pharmacokinetics and Efficacy 15
- Pharmacogenetics and Drug Metabolism 12
- Co-authors
- B.K. Matuszewski (34 shared papers)I. Fu (9 shared papers)Yang Xu (10 shared papers)William Nowatzke (1 shared paper)Catherine Z. Matthews (13 shared papers)Mark J. Rose (9 shared papers)Nancy Agrawal (9 shared papers)Patrick T. Vallano (6 shared papers)
- Journals
- Journal of Chromatography B (16 papers)Bioanalysis (14 papers)Journal of Pharmaceutical and Biomedical Analysis (9 papers)The AAPS Journal (8 papers)The Journal of Clinical Pharmacology (7 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Eric Woolf
95 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 116
- Analytical Chemistry 492
- Virology 210
- Pharmacology 718
- Pharmacology 360
- Spectroscopy 578
Countries citing papers authored by Eric Woolf
This map shows the geographic impact of Eric Woolf'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 Eric Woolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Woolf more than expected).
Fields of papers citing papers by Eric Woolf
This network shows the impact of papers produced by Eric Woolf. 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 Eric Woolf. The network helps show where Eric Woolf may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Woolf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 193 | |
| 2 | 1998 | 185 | |
| 3 | 2007 | 113 | |
| 4 | 2001 | 106 | |
| 5 | 1998 | 106 | |
| 6 | 2014 | 93 | |
| 7 | 1996 | 85 | |
| 8 | 2007 | 76 | |
| 9 | 2003 | 71 | |
| 10 | 1995 | 71 | |
| 11 | 2018 | 69 | |
| 12 | 2003 | 67 | |
| 13 | 2010 | 65 | |
| 14 | 2007 | 60 | |
| 15 | 2000 | 58 | |
| 16 | 2013 | 54 | |
| 17 | 2001 | 52 | |
| 18 | 1999 | 50 | |
| 19 | 2010 | 50 | |
| 20 | 1998 | 42 |
About Eric Woolf
Eric Woolf is a scholar working on Pharmacology, Molecular Biology, Infectious Diseases, Immunology and Spectroscopy, having authored 98 papers that have together received 2.8k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (21 papers), Biosimilars and Bioanalytical Methods (19 papers), Inflammatory mediators and NSAID effects (17 papers), Analytical Methods in Pharmaceuticals (16 papers), Antibiotics Pharmacokinetics and Efficacy (15 papers), Analytical Chemistry and Chromatography (13 papers), Pharmacogenetics and Drug Metabolism (12 papers) and HIV Research and Treatment (9 papers). The work is most often cited by research in Analytical Chemistry (492 citations), Virology (210 citations), Pharmacology (718 citations), Pharmacology (360 citations) and Spectroscopy (578 citations). Eric Woolf has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include B.K. Matuszewski, I. Fu, Yang Xu, William Nowatzke, Catherine Z. Matthews, Mark J. Rose, Nancy Agrawal, Patrick T. Vallano, Wei Zeng and K. C. Yeh. Their work appears in journals such as Journal of Chromatography B, Bioanalysis, Journal of Pharmaceutical and Biomedical Analysis, The AAPS Journal 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.