J. Greg Slatter
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
- Pharmacology 18
- Pharmacogenetics and Drug Metabolism 18
- Drug-Induced Hepatotoxicity and Protection 5
- Genetics 15
- Chronic Lymphocytic Leukemia Research 14
- Co-authors
- Thomas A. BaillieLarry C. WienkersLeslie J. DickmannSonal PatelPaul G. PearsonJames P. SamsLarry J. SchaafRoger G. Ulrich
- Journals
- Xenobiotica (8 papers)Drug Metabolism and Disposition (7 papers)Journal of Clinical Oncology (4 papers)The Journal of Clinical Pharmacology (3 papers)Chemical Research in Toxicology (3 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
J. Greg Slatter
49 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 116
- Pharmacology 540
- Oncology 666
- Biochemistry 126
- Genetics 162
- Pharmaceutical Science 75
Countries citing papers authored by J. Greg Slatter
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 15 | |
| 2 | 2018 | 17 | |
| 3 | 2018 | 50 | |
| 4 | 2016 | 21 | |
| 5 | 2013 | 33 | |
| 6 | 2012 | 4 | |
| 7 | 2012 | 3 | |
| 8 | 2012 | 62 | |
| 9 | 2011 | 145 | |
| 10 | 2011 | 9 | |
| 11 | 2010 | 207 | |
| 12 | 2008 | 45 | |
| 13 | 2007 | 34 | |
| 14 | 2006 | 7 | |
| 15 | 2000 | 241 | |
| 16 | 1999 | 19 | |
| 17 | 1991 | 89 | |
| 18 | 1991 | 47 | |
| 19 | 1991 | 8 | |
| 20 | 1990 | 52 |
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.