Richard N. Armstrong
- Molecular Biology top 1%
- Pharmacology top 0.1%
- Biochemistry top 0.2%
- Organic Chemistry top 5%
- Oncology top 5%
- Co-authors
- Gary L. GillilandXinhua JiPinghui ZhangLaura S. BusenlehnerGerard F. GraminskiBryan A. BernatL. Timothy LaughlinGerard M. Lacourciere
- Topics
- Glutathione Transferases and Polymorphisms (63 papers)Genomics, phytochemicals, and oxidative stress (34 papers)Pharmacogenetics and Drug Metabolism (22 papers)
- Journals
- Chemical ReviewsProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Richard N. Armstrong
140 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 5.7k
- Pharmacology 1.1k
- Biochemistry 833
- Organic Chemistry 594
- Oncology 497
Countries citing papers authored by Richard N. Armstrong
This map shows the geographic impact of Richard N. Armstrong'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 Richard N. Armstrong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard N. Armstrong more than expected).
Fields of papers citing papers by Richard N. Armstrong
This network shows the impact of papers produced by Richard N. Armstrong. 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 Richard N. Armstrong. The network helps show where Richard N. Armstrong may publish in the future.
Co-authorship network of co-authors of Richard N. Armstrong
This figure shows the co-authorship network connecting the top 25 collaborators of Richard N. Armstrong. A scholar is included among the top collaborators of Richard N. Armstrong 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 Richard N. Armstrong. Richard N. Armstrong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 70 | |
| 3 | 22 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 79 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 69 | |
| 10 | 154 | |
| 11 | 33 | |
| 12 | 14 | |
| 13 | 179 | |
| 14 | 21 | |
| 15 | 44 | |
| 16 | 72 | |
| 17 | 397 | |
| 18 | 22 | |
| 19 | 69 | |
| 20 | 94 |
About Richard N. Armstrong
Richard N. Armstrong is a scholar working on Biochemistry, Pharmacology and Molecular Medicine, having authored 142 papers that have together received 7.4k indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (63 papers), Genomics, phytochemicals, and oxidative stress (34 papers) and Pharmacogenetics and Drug Metabolism (22 papers). The work is most often cited by research in Pharmacology (1.1k citations), Biochemistry (833 citations) and Molecular Biology (5.7k citations). Richard N. Armstrong has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Gary L. Gilliland, Xinhua Ji, Pinghui Zhang, Laura S. Busenlehner, Gerard F. Graminski, Bryan A. Bernat, L. Timothy Laughlin, Gerard M. Lacourciere, E. T. Kaiser and Heini W. Dirr. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.