Scott Grimm

3.3k citations
50 papers · 1.3k · h-index 17

Impact in

  • Pharmacology top 0.5%
    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms

Papers in

Scott Grimm

50 papers receiving 1.3k citations

Peers

Scott Grimm
Comparison fields: 5 of 104
  • Pharmacology 614
  • Oncology 404
  • Language and Linguistics 139
  • Computational Theory and Mathematics 163
  • Internal Medicine 32
Replace Philip Wastall with:
Philip Wastall United States
James A. Eckstein United States
Larry M. Tremaine United States
Jinping Gan United States
Nada Božina Croatia
Qun‐Ying Yue Sweden
Houda Hachad United States
M.G. Scordo Sweden
Sarah C. Sim Sweden
Alvin Gomez Sweden
Scott Grimm relative to Philip Wastall United States Philip Wastall's profile →
Citations per field
00.5×1.5×2.2×
Philip Wastall · 1×
Citations per year

Countries citing papers authored by Scott Grimm

Since Specialization
Citations

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

Fields of papers citing papers by Scott Grimm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott Grimm. 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 Scott Grimm. The network helps show where Scott Grimm may publish in the future.

Co-authors

The 25 scholars most cited alongside Scott Grimm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Scott Grimm Line = papers co-authored together Scott Grimm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009224
2 2006143
3 2010115
4 2005115
5 199184
6
Inhibition of human drug metabolizing cytochromes P450 by anastrozole, a potent and selective inhibitor of aromatase.
199759
7 200655
8 200253
9 201042
10 199733
11 202132
12 201131
13 201821
14 201819
15 201018
16 201017
17 201517
18 199315
19 199414
20 201614

About Scott Grimm

Scott Grimm is a scholar working on Pharmacology, Language and Linguistics, Artificial Intelligence, Molecular Biology and Pharmacology, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (19 papers), Syntax, Semantics, Linguistic Variation (15 papers), Natural Language Processing Techniques (9 papers), Language, Metaphor, and Cognition (5 papers), Language, Discourse, Communication Strategies (5 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Drug Transport and Resistance Mechanisms (4 papers) and Neurobiology of Language and Bilingualism (3 papers). The work is most often cited by research in Pharmacology (614 citations), Oncology (404 citations), Language and Linguistics (139 citations), Computational Theory and Mathematics (163 citations) and Internal Medicine (32 citations). Scott Grimm has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Diansong Zhou, Liyue Huang, Tommy B. Andersson, Yi Wang, Martin C. Dyroff, Helen Winter, Stots B. Reele, Neil M. Richtand, James R. Halpert and Louise McNally. Their work appears in journals such as Drug Metabolism and Disposition, Xenobiotica, Language, British Journal of Clinical Pharmacology and Journal of Neuroscience.

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.

Explore authors with similar magnitude of impact