Gregory S. Walker

2.5k citations
57 papers · 1.7k · h-index 26

Impact in

  • Pharmacology top 0.5%
    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
    • Eicosanoids and Hypertension Pharmacology

Papers in

    • Metabolomics and Mass Spectrometry Studies 6
    • Pharmacogenetics and Drug Metabolism 16
    • Drug-Induced Hepatotoxicity and Protection 4

Gregory S. Walker

53 papers receiving 1.6k citations

Peers

Gregory S. Walker
Comparison fields: 5 of 117
  • Pharmacology 542
  • Biochemistry 138
  • Computational Theory and Mathematics 205
  • Oncology 261
  • Spectroscopy 175
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Citations per field
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Citations per year

Countries citing papers authored by Gregory S. Walker

Since Specialization
Citations

This map shows the geographic impact of Gregory S. Walker'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 Gregory S. Walker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory S. Walker more than expected).

Fields of papers citing papers by Gregory S. Walker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory S. Walker. 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 Gregory S. Walker. The network helps show where Gregory S. Walker may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014222
2 2020115
3 202283
4 201281
5 200881
6 201277
7 201175
8 201452
9 200750
10 201050
11 201447
12 200345
13 200741
14 201741
15
Non-Uniform Sampling for All: More NMR Spectral Quality, Less Measurement Time.
201738
16 202037
17 201934
18 198933
19 201831
20 201830

About Gregory S. Walker

Gregory S. Walker is a scholar working on Molecular Biology, Pharmacology, Spectroscopy, Oncology and Infectious Diseases, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (16 papers), Analytical Chemistry and Chromatography (11 papers), Drug Transport and Resistance Mechanisms (8 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Computational Drug Discovery Methods (5 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), HIV/AIDS drug development and treatment (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Pharmacology (542 citations), Biochemistry (138 citations), Computational Theory and Mathematics (205 citations), Oncology (261 citations) and Spectroscopy (175 citations). Gregory S. Walker has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include R. Scott Obach, Tim F. Ryder, Raman Sharma, Amit S. Kalgutkar, Martin E. Dowty, Evan B. Smith, Jinyan Lin, Alfin D. N. Vaz, Gary Chan and Weiwei Wang. Their work appears in journals such as Drug Metabolism and Disposition, Chemical Research in Toxicology, Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters and Journal of Magnetic Resonance Series A.

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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