William Neway
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
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- Drug Transport and Resistance Mechanisms
Papers in
- Surgery 5
- Cervical and Thoracic Myelopathy 2
-
- Sphingolipid Metabolism and Signaling 4
- Receptor Mechanisms and Signaling 2
- Co-authors
- Masato Chiba (4 shared papers)Jiunn H. Lin (3 shared papers)Tomoyuki Ohe (1 shared paper)I‐Wu Chen (1 shared paper)Janice Rowe (1 shared paper)Masayo Yamazaki (1 shared paper)Jerome Hochman (1 shared paper)Richard Hajdu (4 shared papers)
- Journals
- Journal of Pharmaceutical and Biomedical Analysis (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Biochemical Pharmacology (1 paper)Journal of Leukocyte Biology (1 paper)The Spine Journal (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
William Neway
14 papers receiving 566 citations
Peers
Comparison fields: 5 of 69
- Pharmacology 101
- Oncology 202
- Pediatrics, Perinatology and Child Health 109
- Molecular Biology 271
- Physiology 18
Countries citing papers authored by William Neway
This map shows the geographic impact of William Neway'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 William Neway with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Neway more than expected).
Fields of papers citing papers by William Neway
This network shows the impact of papers produced by William Neway. 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 William Neway. The network helps show where William Neway may publish in the future.
Co-authors
The 25 scholars most cited alongside William Neway, 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 | 2001 | 210 | |
| 2 | 2004 | 70 | |
| 3 | 2004 | 67 | |
| 4 | P450 interaction with HIV protease inhibitors: relationship between metabolic stability, inhibitory potency, and P450 binding spectra. | 2001 | 62 |
| 5 | 2005 | 49 | |
| 6 | 2004 | 42 | |
| 7 | 2007 | 20 | |
| 8 | 2001 | 19 | |
| 9 | 2015 | 16 | |
| 10 | 2013 | 14 | |
| 11 | 2000 | 10 | |
| 12 | 2018 | 3 | |
| 13 | 2002 | 3 | |
| 14 | 2016 | 3 | |
| 15 | 2025 | 0 |
About William Neway
William Neway is a scholar working on Surgery, Molecular Biology, Pharmacology, Infectious Diseases and Pediatrics, Perinatology and Child Health, having authored 15 papers that have together received 588 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Analytical Chemistry and Chromatography (2 papers), Receptor Mechanisms and Signaling (2 papers), HIV/AIDS drug development and treatment (2 papers), Cervical and Thoracic Myelopathy (2 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Pharmacology (101 citations), Oncology (202 citations), Pediatrics, Perinatology and Child Health (109 citations), Molecular Biology (271 citations) and Physiology (18 citations). William Neway has collaborated with scholars based in United States and Japan. Frequent co-authors include Masato Chiba, Jiunn H. Lin, Tomoyuki Ohe, I‐Wu Chen, Janice Rowe, Masayo Yamazaki, Jerome Hochman, Richard Hajdu, Suzanne Mandala and Carol Keohane. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Bioorganic & Medicinal Chemistry Letters, Biochemical Pharmacology, Journal of Leukocyte Biology and The Spine Journal.
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.