Paul G. Pearson
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 18
- Drug-Induced Hepatotoxicity and Protection 5
- Biochemistry top 2%
- Sulfur Compounds in Biology 11
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 5
- Oncology top 5%
- Drug Transport and Resistance Mechanisms 10
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment 7
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- Chemical Reactions and Isotopes 5
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- Wildlife Ecology and Conservation 5
- Co-authors
- Thomas A. BaillieJiunn H. LinYue QiuBennett MaThomayant PrueksaritanontSidney D. NelsonJ. Greg SlatterMohamed S. Rashed
- Cited by
- PharmacologyBiochemistryGenetics
- Journals
- Journal of the American Chemical Society (1 paper)Journal of Biological Chemistry (1 paper)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Paul G. Pearson
93 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 130
- Pharmacology 650
- Biochemistry 209
- Genetics 277
- Oncology 528
- Cancer Research 261
Countries citing papers authored by Paul G. Pearson
This map shows the geographic impact of Paul G. Pearson'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 Paul G. Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul G. Pearson more than expected).
Fields of papers citing papers by Paul G. Pearson
This network shows the impact of papers produced by Paul G. Pearson. 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 Paul G. Pearson. The network helps show where Paul G. Pearson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul G. Pearson, 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 | 2020 | 7 | |
| 2 | 2018 | 19 | |
| 3 | 2018 | 50 | |
| 4 | 2005 | 83 | |
| 5 | 2004 | 45 | |
| 6 | 2003 | 19 | |
| 7 | 2002 | 276 | |
| 8 | 2002 | 219 | |
| 9 | 1996 | 37 | |
| 10 | 1996 | 22 | |
| 11 | 1995 | 19 | |
| 12 | 1991 | 89 | |
| 13 | 1991 | 77 | |
| 14 | 1991 | 47 | |
| 15 | 1990 | 52 | |
| 16 | 1990 | 38 | |
| 17 | 1990 | 17 | |
| 18 | 1990 | 18 | |
| 19 | Formation of cyclic 1,N2-propanodeoxyguanosine and thymidine adducts in the reaction of the mutagen 2-bromoacrolein with calf thymus DNA. | 1989 | 16 |
| 20 | 1989 | 28 |
About Paul G. Pearson
Paul G. Pearson is a scholar working on Pharmacology, Biochemistry and Pharmaceutical Science, having authored 97 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (18 papers), Sulfur Compounds in Biology (11 papers), Drug Transport and Resistance Mechanisms (10 papers), Carcinogens and Genotoxicity Assessment (7 papers), Chronic Lymphocytic Leukemia Research (5 papers), Chemical Reactions and Isotopes (5 papers), Drug-Induced Hepatotoxicity and Protection (5 papers) and Wildlife Ecology and Conservation (5 papers). The work is most often cited by research in Pharmacology (650 citations), Biochemistry (209 citations) and Genetics (277 citations). Paul G. Pearson has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Thomas A. Baillie, Jiunn H. Lin, Yue Qiu, Bennett Ma, Thomayant Prueksaritanont, Sidney D. Nelson, J. Greg Slatter, Mohamed S. Rashed, Xiaojun Fang and Raju Subramanian. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.