William Neway

693 citations
15 papers · 560 · h-index 11

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug Transport and Resistance Mechanisms

Papers in

    • Cervical and Thoracic Myelopathy 2
    • Sphingolipid Metabolism and Signaling 4
    • Receptor Mechanisms and Signaling 2

William Neway

14 papers receiving 547 citations

Peers

William Neway
Comparison fields: 5 of 69
  • Pharmacology 90
  • Oncology 191
  • Pediatrics, Perinatology and Child Health 103
  • Molecular Biology 260
  • Physiology 14
Replace Emile G. Plise with:
Emile G. Plise United States
Denggao Yao United Kingdom
Fabienne Z. Gaugaz Sweden
Junko Ushiki Japan
Yoshiyuki Tenda Japan
Tadahaya Mizuno Japan
Sangeeta Raje United States
Daniel C. Kemp United States
Mariangela Cantore Italy
Fujiko Konno Japan
William Neway relative to Emile G. Plise United States Emile G. Plise's profile →
Citations per field
00.5×1.5×
Emile G. Plise · 1×
Citations per year

Countries citing papers authored by William Neway

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with William Neway Line = papers co-authored together William Neway links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2001200
2 200466
3 200464
4
P450 interaction with HIV protease inhibitors: relationship between metabolic stability, inhibitory potency, and P450 binding spectra.
200157
5 200547
6 200439
7 200720
8 200119
9 201516
10 201314
11 200010
12 20183
13 20163
14 20022
15 20250

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 560 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 (90 citations), Oncology (191 citations), Pediatrics, Perinatology and Child Health (103 citations), Molecular Biology (260 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, Jerome Hochman, Tomoyuki Ohe, Janice Rowe, I‐Wu Chen, Masayo Yamazaki, Richard Hajdu, Suzanne Mandala and Carol Keohane. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Medicinal Chemistry, Clinical Spine Surgery A Spine Publication, Biochemical Pharmacology and Advances in Orthopedics.

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.

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