Scott A. Heyward
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
Papers in
- Pharmacology 26
- Pharmacogenetics and Drug Metabolism 23
- Oncology 17
- Drug Transport and Resistance Mechanisms 14
- Co-authors
- Hans‐Peter Kiem (6 shared papers)A. Dusty Miller (5 shared papers)Jennifer C. Potter (5 shared papers)Robert G. Andrews (5 shared papers)James M. Allen (4 shared papers)Julia C. Morris (4 shared papers)Carine Logvinoff (1 shared paper)Harrison Alter (1 shared paper)
- Journals
- Drug Metabolism and Disposition (10 papers)Molecular Pharmacology (5 papers)Blood (4 papers)Clinical Pharmacology & Therapeutics (3 papers)Molecular Pharmaceutics (3 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Scott A. Heyward
48 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 103
- Hepatology 408
- Pharmacology 382
- Genetics 534
- Virology 77
- Oncology 391
Countries citing papers authored by Scott A. Heyward
This map shows the geographic impact of Scott A. Heyward'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 Scott A. Heyward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott A. Heyward more than expected).
Fields of papers citing papers by Scott A. Heyward
This network shows the impact of papers produced by Scott A. Heyward. 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 Scott A. Heyward. The network helps show where Scott A. Heyward may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott A. Heyward, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 349 | |
| 2 | 1998 | 224 | |
| 3 | 1997 | 165 | |
| 4 | 2021 | 155 | |
| 5 | 2020 | 76 | |
| 6 | 2015 | 75 | |
| 7 | 2009 | 68 | |
| 8 | 1992 | 67 | |
| 9 | 1999 | 61 | |
| 10 | 2021 | 58 | |
| 11 | 1998 | 55 | |
| 12 | 2014 | 41 | |
| 13 | 2013 | 38 | |
| 14 | 2019 | 38 | |
| 15 | 2015 | 36 | |
| 16 | 2018 | 31 | |
| 17 | 2020 | 31 | |
| 18 | 2018 | 30 | |
| 19 | 2019 | 30 | |
| 20 | 2014 | 29 |
About Scott A. Heyward
Scott A. Heyward is a scholar working on Pharmacology, Oncology, Endocrinology, Diabetes and Metabolism, Biochemistry and Hepatology, having authored 51 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (23 papers), Drug Transport and Resistance Mechanisms (14 papers), Hormonal Regulation and Hypertension (10 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Virus-based gene therapy research (5 papers), Eicosanoids and Hypertension Pharmacology (5 papers), RNA Interference and Gene Delivery (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Hepatology (408 citations), Pharmacology (382 citations), Genetics (534 citations), Virology (77 citations) and Oncology (391 citations). Scott A. Heyward has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Hans‐Peter Kiem, A. Dusty Miller, Jennifer C. Potter, Robert G. Andrews, James M. Allen, Julia C. Morris, Carine Logvinoff, Harrison Alter, S M Feinstone and Marian E Major. Their work appears in journals such as Drug Metabolism and Disposition, Molecular Pharmacology, Blood, Clinical Pharmacology & Therapeutics and Molecular Pharmaceutics.
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.