William E. Neway

697 citations
14 papers · 555 · h-index 10

Impact in

    • Drug Transport and Resistance Mechanisms
  • Pharmacology top 10%
    • Pharmacogenetics and Drug Metabolism

Papers in

    • Pharmacogenetics and Drug Metabolism 2
    • Cervical and Thoracic Myelopathy 2

William E. Neway

13 papers receiving 527 citations

Peers

William E. Neway
Comparison fields: 5 of 68
  • Oncology 188
  • Pharmacology 62
  • Pediatrics, Perinatology and Child Health 112
  • Physiology 19
  • Molecular Biology 274
Replace Yoshiyuki Tenda with:
Yoshiyuki Tenda Japan
Denggao Yao United Kingdom
Junko Ushiki Japan
Tadahaya Mizuno Japan
Jianneng Li China
Joanna Budworth United Kingdom
Margaret Doherty Ireland
Lisa L. Elkin United States
Susumu Tsujimoto Japan
Mingxiao Yin China
William E. Neway relative to Yoshiyuki Tenda Japan Yoshiyuki Tenda's profile →
Citations per field
00.5×2×4×5.7×
Yoshiyuki Tenda · 1×
Citations per year

Countries citing papers authored by William E. Neway

Since Specialization
Citations

This map shows the geographic impact of William E. 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 E. 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 E. Neway more than expected).

Fields of papers citing papers by William E. Neway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. 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 E. Neway. The network helps show where William E. Neway may publish in the future.

Co-authors

The 25 scholars most cited alongside William E. 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 E. Neway Line = papers co-authored together William E. Neway links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2001223
2 200482
3 200467
4 200549
5 200447
6 200720
7 200119
8 201516
9 201314
10 200010
11 20023
12 20163
13 20182
14 20250

About William E. Neway

William E. Neway is a scholar working on Pharmacology, Surgery, Hematology, Spectroscopy and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 555 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (4 papers), Receptor Mechanisms and Signaling (2 papers), Analytical Chemistry and Chromatography (2 papers), Cervical and Thoracic Myelopathy (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Platelet Disorders and Treatments (2 papers) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Oncology (188 citations), Pharmacology (62 citations), Pediatrics, Perinatology and Child Health (112 citations), Physiology (19 citations) and Molecular Biology (274 citations). William E. Neway has collaborated with scholars based in United States and Japan. Frequent co-authors include Masato Chiba, Jiunn Huei Lin, Janice F. Rowe, Masayo Yamazaki, I‐Wu Chen, Tomoyuki Ohe, Jerome H. Hochman, Richard Hajdu, SUZANNE M. MANDALA and Carol Ann Keohane. Their work appears in journals such as Urology, Xenobiotica, Journal of Leukocyte Biology, Journal of Pharmacology and Experimental Therapeutics and Bioorganic & Medicinal Chemistry Letters.

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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