Scott Martin

1.9k citations
32 papers · 955 indexed · h-index 15

Impact in

Papers in

Scott Martin

29 papers receiving 919 citations

Peers

Scott Martin
Comparison fields: 5 of 91
  • Hepatology 191
  • Pharmacology 94
  • Organic Chemistry 254
  • Oncology 193
  • Molecular Biology 407
Replace Peter D. Gorycki with:
Peter D. Gorycki United States
Daniel Vitt Germany
Torsten Herbertz United States
Olaf Kinzel Italy
Florian Wakenhut United Kingdom
Denis R. St. Laurent United States
John J. Piwinski United States
Anne Cooper United Kingdom
James M. Fujitaki United States
David N. Deaton United States
Scott Martin relative to Peter D. Gorycki United States Peter D. Gorycki's profile →
Citations per field
00.5×4.4×
Peter D. Gorycki · 1×
Citations per year

Countries citing papers authored by Scott Martin

Since Specialization
Citations

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

Fields of papers citing papers by Scott Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 202012
4 2020155
5 20163
6 2016105
7 20138
8 201312
9 20125
10 20128
11 201111
12 201138
13 201111
14 201011
15 2009149
16 200833
17 200348
18 200313
19 200230
20 199343

About Scott Martin

Scott Martin is a scholar working on Pharmacology, Issues, ethics and legal aspects, Hepatology, Pharmaceutical Science and Organic Chemistry, having authored 32 papers that have together received 955 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Quinazolinone synthesis and applications (5 papers), Drug Transport and Resistance Mechanisms (4 papers), Hepatitis C virus research (4 papers), Synthesis and biological activity (3 papers), Ion channel regulation and function (3 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Hepatology (191 citations), Pharmacology (94 citations), Organic Chemistry (254 citations), Oncology (193 citations) and Molecular Biology (407 citations). Scott Martin has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include J. Romine, Nicholas A. Meanwell, Andy Pike, Stephanie Harlfinger, Dermot F. McGinnity, Beth Williamson, Donald R. O’Boyle, Julie A. Lemm, Michael H. Serrano‐Wu and Lawrence B. Snyder. Their work appears in journals such as Journal of Medicinal Chemistry, Drug Metabolism and Disposition, Rapid Communications in Mass Spectrometry, Bioorganic & Medicinal Chemistry Letters and ACS Medicinal Chemistry Letters.

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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