P. Ross Wilderman

1.6k citations
31 papers · 1.3k indexed · h-index 17
Topics
Pharmacogenetics and Drug Metabolism (20 papers)Computational Drug Discovery Methods (10 papers)Analytical Chemistry and Chromatography (7 papers)

In The Last Decade

P. Ross Wilderman

31 papers receiving 1.3k citations

Peers

P. Ross Wilderman
Comparison fields: 5 of 75
  • Molecular Biology 940
  • Pharmacology 390
  • Pharmacology 375
  • Plant Science 155
  • Computational Theory and Mathematics 146
Replace Toshihiko Nogawa with:
Toshihiko Nogawa Japan
Yukio Hitotsuyanagi Japan
Jonathan M. Schmidt Canada
Reiner Waibel Germany
Lin‐Kun An China
Shi‐Shan Yu China
Zhong‐Duo Yang China
Antony D. Buss Singapore
Lai‐King Sy Hong Kong
Alfarius Eko Nugroho Japan
P. Ross Wilderman relative to Toshihiko Nogawa Japan Toshihiko Nogawa's profile →
Citations per field
00.5×3.3×
Toshihiko Nogawa · 1×
Citations per year

Countries citing papers authored by P. Ross Wilderman

Since Specialization
Citations

This map shows the geographic impact of P. Ross Wilderman'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 P. Ross Wilderman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Ross Wilderman more than expected).

Fields of papers citing papers by P. Ross Wilderman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Ross Wilderman. 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 P. Ross Wilderman. The network helps show where P. Ross Wilderman may publish in the future.

Co-authorship network of co-authors of P. Ross Wilderman

This figure shows the co-authorship network connecting the top 25 collaborators of P. Ross Wilderman. A scholar is included among the top collaborators of P. Ross Wilderman 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 P. Ross Wilderman. P. Ross Wilderman 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 7
2 12
3 19
4 5
5 17
6 9
7 6
8 14
9 14
10 33
11 63
12 35
13 29
14 78
15 51
16 17
17 150
18 112
19
Elucidating biosynthesis of the rice allelochemical/phytoalexin momilactone B.
1
20 152

About P. Ross Wilderman

P. Ross Wilderman is a scholar working on Pharmacology, Computational Theory and Mathematics and Spectroscopy, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (20 papers), Computational Drug Discovery Methods (10 papers) and Analytical Chemistry and Chromatography (7 papers). The work is most often cited by research in Pharmacology (390 citations), Pharmacology (375 citations) and Molecular Biology (940 citations). P. Ross Wilderman has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Reuben J. Peters, Meimei Xu, James R. Halpert, Robert M. Coates, Sladjana Prišić, Qinghai Zhang, Manish B. Shah, Anthony R. Cyr, Yinghua Jin and C.D. Stout. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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