Richard N. Armstrong

9.6k citations
142 papers · 7.4k indexed · 1 hit paper · h-index 45
Topics
Glutathione Transferases and Polymorphisms (63 papers)Genomics, phytochemicals, and oxidative stress (34 papers)Pharmacogenetics and Drug Metabolism (22 papers)

In The Last Decade

Richard N. Armstrong

140 papers receiving 7.2k citations

Hit Papers

Structure, Catalytic Mechanism, and Evolution of the Glut...19972026200620161997250500750

Peers

Richard N. Armstrong
Comparison fields: 5 of 136
  • Molecular Biology 5.7k
  • Pharmacology 1.1k
  • Biochemistry 833
  • Organic Chemistry 594
  • Oncology 497
Replace Peter Macheroux with:
Peter Macheroux Austria
Patricia C. Babbitt United States
Ben Shen United States
Kazuo Nagai Japan
Frances J. Sharom Canada
Sherry L. Mowbray Sweden
David L. Ollis Australia
Santosh Panjikar Australia
Hideto Miyoshi Japan
Patrick M. Woster United States
Richard N. Armstrong relative to Peter Macheroux Austria Peter Macheroux's profile →
Citations per field
00.5×2.8×
Peter Macheroux · 1×
Citations per year

Countries citing papers authored by Richard N. Armstrong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

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