Philip C. Smith

118 papers receiving 3.6k citations

Peers

Philip C. Smith
Comparison fields: 5 of 131
  • Pharmacology 1.3k
  • Transplantation 117
  • Oncology 891
  • Pharmacology 544
  • Virology 126
Replace Ute Hofmann with:
Ute Hofmann Germany
A. David Rodrigues United States
Barbara J. Ring United States
Shiew‐Mei Huang United States
Rory P. Remmel United States
Thomayant Prueksaritanont United States
A. David Rodrigues United States
Tommy B. Andersson Sweden
Jiunn H. Lin United States
Robert L. Walsky United States
Philip C. Smith relative to Ute Hofmann Germany Ute Hofmann's profile →
Citations per field
00.5×1.5×2.4×
Ute Hofmann · 1×
Citations per year

Countries citing papers authored by Philip C. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Philip C. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip C. Smith. 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 Philip C. Smith. The network helps show where Philip C. Smith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011147
2 2009137
3 1986126
4 2009114
5 2013111
6 1990101
7 1991100
8 201580
9 198280
10 201378
11 201977
12 198870
13 200668
14 198568
15 200868
16 198562
17 200561
18 201360
19 200757
20 200552

About Philip C. Smith

Philip C. Smith is a scholar working on Molecular Biology, Oncology, Pharmacology, Pharmacology and Infectious Diseases, having authored 121 papers that have together received 3.7k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (30 papers), Drug Transport and Resistance Mechanisms (29 papers), Inflammatory mediators and NSAID effects (14 papers), Drug-Induced Hepatotoxicity and Protection (10 papers), HIV/AIDS drug development and treatment (9 papers), Analytical Methods in Pharmaceuticals (8 papers), Pharmacological Effects and Toxicity Studies (8 papers) and Mass Spectrometry Techniques and Applications (7 papers). The work is most often cited by research in Pharmacology (1.3k citations), Transplantation (117 citations), Oncology (891 citations), Pharmacology (544 citations) and Virology (126 citations). Philip C. Smith has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Leslie Z. Benet, John K. Fallon, Antony F. McDonagh, Zhiming Wen, Joseph K. Ritter, J Hasegawa, Theunis C. Goosen, Robert M. Fielding, Hendrik Neubert and Melanie N. Tallman. Their work appears in journals such as Drug Metabolism and Disposition, Frontiers in Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Pharmaceutical Research and Clinical Pharmacology & Therapeutics.

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