Tom S. Chan

2.7k citations
56 papers · 2.2k indexed · h-index 22

Impact in

    • Phytochemicals and Antioxidant Activities
    • Antioxidant Activity and Oxidative Stress
    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection

Papers in

    • Pharmacogenetics and Drug Metabolism 20
    • Drug-Induced Hepatotoxicity and Protection 7
    • Phytochemicals and Antioxidant Activities 5

Tom S. Chan

55 papers receiving 2.1k citations

Peers

Tom S. Chan
Comparison fields: 5 of 125
  • Biochemistry 508
  • Pharmacology 327
  • Toxicology 72
  • Molecular Biology 895
  • Organic Chemistry 369
Replace Guy G. Chabot with:
Guy G. Chabot France
Seiko Tamano Japan
Isabelle Morel France
Sandhya Mandlekar United States
Randall J. Ruch United States
Josiane Cillard France
Kitaro Oka Japan
Nicole H.P. Cnubben Netherlands
Maria Russo Italy
Vanio Vannini Italy
Tom S. Chan relative to Guy G. Chabot France Guy G. Chabot's profile →
Citations per field
00.5×1.7×
Guy G. Chabot · 1×
Citations per year

Countries citing papers authored by Tom S. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Tom S. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom S. Chan. 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 Tom S. Chan. The network helps show where Tom S. Chan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20234
4 20216
5 20213
6 202011
7 202012
8 201830
9 201356
10 200629
11 200626
12 200614
13 200530
14 200413
15 20038
16 200385
17 200230
18 2002114
19 200115
20 19876

About Tom S. Chan

Tom S. Chan is a scholar working on Pharmacology, Biochemistry, Biochemistry, Clinical Biochemistry and Oncology, having authored 56 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (20 papers), Drug Transport and Resistance Mechanisms (12 papers), Free Radicals and Antioxidants (7 papers), Drug-Induced Hepatotoxicity and Protection (7 papers), Coenzyme Q10 studies and effects (5 papers), Phytochemicals and Antioxidant Activities (5 papers), Pharmacological Effects and Toxicity Studies (5 papers) and Biochemical and Molecular Research (4 papers). The work is most often cited by research in Biochemistry (508 citations), Pharmacology (327 citations), Toxicology (72 citations), Molecular Biology (895 citations) and Organic Chemistry (369 citations). Tom S. Chan has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Peter J. O’Brien, Giuseppe Galati, Ananth Sekher Pannala, Catherine Rice‐Evans, Majid Moridani, Shirley Teng, Donald Tweedie, Peter J. O’Brien, Bin Wu and Nandita Shangari. Their work appears in journals such as Drug Metabolism and Disposition, Free Radical Biology and Medicine, Cytogenetic and Genome Research, Chemico-Biological Interactions and Free Radical 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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