J. Greg Slatter

2.9k citations
50 papers · 1.9k indexed · h-index 21

Impact in

  • Pharmacology top 0.5%
    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
  • Oncology top 5%
    • Drug Transport and Resistance Mechanisms

Papers in

    • Pharmacogenetics and Drug Metabolism 18
    • Drug-Induced Hepatotoxicity and Protection 5
    • Chronic Lymphocytic Leukemia Research 14

J. Greg Slatter

49 papers receiving 1.9k citations

Peers

J. Greg Slatter
Comparison fields: 5 of 116
  • Pharmacology 540
  • Oncology 666
  • Biochemistry 126
  • Genetics 162
  • Pharmaceutical Science 75
Replace Bernard P. Murray with:
Bernard P. Murray United States
Joseph A. Ware United States
Jurjen S. Lagas Netherlands
David R. Jones United States
Lu-Bin Lan United States
Cho‐Ming Loi United States
Robert A.B. van Waterschoot Netherlands
David Carlile United Kingdom
Gondi Kumar United States
Leslie J. Dickmann United States
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Citations per field
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Citations per year

Countries citing papers authored by J. Greg Slatter

Since Specialization
Citations

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

Fields of papers citing papers by J. Greg Slatter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Greg Slatter. 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 J. Greg Slatter. The network helps show where J. Greg Slatter may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202215
2 201817
3 201850
4 201621
5 201333
6 20124
7 20123
8 201262
9 2011145
10 20119
11 2010207
12 200845
13 200734
14 20067
15 2000241
16 199919
17 199189
18 199147
19 19918
20 199052

About J. Greg Slatter

J. Greg Slatter is a scholar working on Pharmacology, Genetics, Biochemistry, Pathology and Forensic Medicine and Oncology, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (18 papers), Chronic Lymphocytic Leukemia Research (14 papers), Lymphoma Diagnosis and Treatment (11 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Computational Drug Discovery Methods (7 papers), Drug Transport and Resistance Mechanisms (6 papers), Drug-Induced Hepatotoxicity and Protection (5 papers) and Sulfur Compounds in Biology (5 papers). The work is most often cited by research in Pharmacology (540 citations), Oncology (666 citations), Biochemistry (126 citations), Genetics (162 citations) and Pharmaceutical Science (75 citations). J. Greg Slatter has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Thomas A. Baillie, Larry C. Wienkers, Leslie J. Dickmann, Sonal Patel, Paul G. Pearson, James P. Sams, Larry J. Schaaf, Roger G. Ulrich, Mohamed S. Rashed and Dan A. Rock. Their work appears in journals such as Xenobiotica, Drug Metabolism and Disposition, Journal of Clinical Oncology, The Journal of Clinical Pharmacology and Chemical Research in Toxicology.

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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