R. Foti

2.0k citations
51 papers · 1.3k indexed · h-index 21

Impact in

  • Pharmacology top 0.5%
    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
  • Toxicology top 2%

Papers in

R. Foti

49 papers receiving 1.3k citations

Peers

R. Foti
Comparison fields: 5 of 99
  • Pharmacology 680
  • Toxicology 80
  • Oncology 373
  • Biochemistry 98
  • Computational Theory and Mathematics 146
Replace Ute M. Kent with:
Ute M. Kent United States
Ivan Gut Czechia
Henry P. Ciolino United States
John H.K. Yeung Hong Kong
A. B. Renwick United Kingdom
Michael D. Aleo United States
Andrew D. Ayrton United Kingdom
Ronald B. Franklin United States
Mohamed M. Sayed‐Ahmed Saudi Arabia
Cuyue Tang United States
R. Foti relative to Ute M. Kent United States Ute M. Kent's profile →
Citations per field
00.5×1.5×2.5×
Ute M. Kent · 1×
Citations per year

Countries citing papers authored by R. Foti

Since Specialization
Citations

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

Fields of papers citing papers by R. Foti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R. Foti, 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 R. Foti Line = papers co-authored together R. Foti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 202413
3 202313
4 20221
5 201917
6 20191
7 20188
8 201613
9 201688
10 201416
11 201312
12 20122
13 201162
14 201134
15 2010103
16
The role of dietary supplements in cytochrome P450-mediated druginteractions
200815
17 200518
18 2005108
19 200552
20 200425

About R. Foti

R. Foti is a scholar working on Pharmacology, Biochemistry, Biochemistry, Oncology and Computational Theory and Mathematics, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (28 papers), Drug Transport and Resistance Mechanisms (13 papers), Computational Drug Discovery Methods (8 papers), Pharmacological Effects and Toxicity Studies (5 papers), Analytical Chemistry and Chromatography (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Retinoids in leukemia and cellular processes (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Pharmacology (680 citations), Toxicology (80 citations), Oncology (373 citations), Biochemistry (98 citations) and Computational Theory and Mathematics (146 citations). R. Foti has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Jan L. Wahlstrom, Michael B. Fisher, Larry C. Wienkers, Dan A. Rock, Deepak Dalvie, Timothy J. Strelevitz, Josh T. Pearson, Nina Isoherranen, Brooke M. VandenBrink and Leslie J. Dickmann. Their work appears in journals such as Drug Metabolism and Disposition, Bioorganic & Medicinal Chemistry Letters, Molecular Pharmacology, Journal of Pharmacology and Experimental Therapeutics and Cancer Research.

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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