Paul G. Pearson
- Molecular Biology top 10%
- Pharmacology top 0.5%
- Oncology top 5%
- Surgery top 10%
- Infectious Diseases top 5%
- Co-authors
- Thomas A. BaillieJiunn H. LinYue QiuBennett MaThomayant PrueksaritanontSidney D. NelsonJ. Greg SlatterMohamed S. Rashed
- Topics
- Pharmacogenetics and Drug Metabolism (18 papers)Sulfur Compounds in Biology (11 papers)Drug Transport and Resistance Mechanisms (10 papers)
- Cited by
- PharmacologyBiochemistryGenetics
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Paul G. Pearson
93 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 130
- Molecular Biology 864
- Pharmacology 650
- Oncology 528
- Surgery 346
- Infectious Diseases 307
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 of co-authors of Paul G. Pearson
This figure shows the co-authorship network connecting the top 25 collaborators of Paul G. Pearson. A scholar is included among the top collaborators of Paul G. Pearson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul G. Pearson. Paul G. Pearson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 19 | |
| 3 | 50 | |
| 4 | 83 | |
| 5 | 45 | |
| 6 | 19 | |
| 7 | 276 | |
| 8 | 219 | |
| 9 | 37 | |
| 10 | 22 | |
| 11 | 19 | |
| 12 | 89 | |
| 13 | 77 | |
| 14 | 47 | |
| 15 | 52 | |
| 16 | 38 | |
| 17 | 17 | |
| 18 | 18 | |
| 19 | Formation of cyclic 1,N2-propanodeoxyguanosine and thymidine adducts in the reaction of the mutagen 2-bromoacrolein with calf thymus DNA. | 16 |
| 20 | 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) and Drug Transport and Resistance Mechanisms (10 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.