William Neway
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
-
- Drug Transport and Resistance Mechanisms
Papers in
- Surgery 4
- Spinal Fractures and Fixation Techniques 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)Jerome Hochman (1 shared paper)Janice Rowe (1 shared paper)Masayo Yamazaki (1 shared paper)Richard Hajdu (4 shared papers)
- Journals
- Urology (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Bioorganic & Medicinal Chemistry (1 paper)Xenobiotica (1 paper)Journal of Pharmaceutical and Biomedical Analysis (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
William Neway
14 papers receiving 544 citations
Peers
Comparison fields: 5 of 69
- Pharmacology 98
- Oncology 203
- Pediatrics, Perinatology and Child Health 121
- Molecular Biology 264
- Physiology 14
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 | 198 | |
| 2 | 2004 | 65 | |
| 3 | 2004 | 64 | |
| 4 | P450 interaction with HIV protease inhibitors: relationship between metabolic stability, inhibitory potency, and P450 binding spectra. | 2001 | 57 |
| 5 | 2005 | 47 | |
| 6 | 2004 | 39 | |
| 7 | 2007 | 20 | |
| 8 | 2001 | 19 | |
| 9 | 2015 | 16 | |
| 10 | 2013 | 14 | |
| 11 | 2000 | 10 | |
| 12 | 2016 | 3 | |
| 13 | 2018 | 3 | |
| 14 | 2002 | 2 |
About William Neway
William Neway is a scholar working on Surgery, Molecular Biology, Pharmacology, Infectious Diseases and Pathology and Forensic Medicine, having authored 14 papers that have together received 557 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Spine and Intervertebral Disc Pathology (2 papers), Analytical Chemistry and Chromatography (2 papers), Receptor Mechanisms and Signaling (2 papers), Platelet Disorders and Treatments (2 papers) and Spinal Fractures and Fixation Techniques (2 papers). The work is most often cited by research in Pharmacology (98 citations), Oncology (203 citations), Pediatrics, Perinatology and Child Health (121 citations), Molecular Biology (264 citations) and Physiology (14 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, Jerome Hochman, Janice Rowe, Masayo Yamazaki, Richard Hajdu, Suzanne Mandala and Carol Keohane. Their work appears in journals such as Urology, Journal of Pharmacology and Experimental Therapeutics, Bioorganic & Medicinal Chemistry, Xenobiotica and Journal of Pharmaceutical and Biomedical Analysis.
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.