Tze‐Ming Chan

435 citations
19 papers · 357 · h-index 11

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
  • Pharmacology top 10%
    • Microbial Natural Products and Biosynthesis
    • Fungal Biology and Applications

Papers in

Tze‐Ming Chan

19 papers receiving 332 citations

Peers

Tze‐Ming Chan
Comparison fields: 5 of 66
  • Hepatology 46
  • Pharmacology 83
  • Toxicology 15
  • Organic Chemistry 111
  • Biochemistry 19
Replace Nigel J. Coates with:
Nigel J. Coates United States
Milan Zarić Serbia
Kathleen F. Kadow United States
Vivek Hamse Kameshwar India
Nana Du China
Nader E. Abo‐Dya Egypt
Daniel A. Benigni United States
Atanu Bhattacharjee India
Joane Litvak United States
M Carraz France
Tze‐Ming Chan relative to Nigel J. Coates United States Nigel J. Coates's profile →
Citations per field
00.5×6.3×
Nigel J. Coates · 1×
Citations per year

Countries citing papers authored by Tze‐Ming Chan

Since Specialization
Citations

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

Fields of papers citing papers by Tze‐Ming Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tze‐Ming 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 Tze‐Ming Chan. The network helps show where Tze‐Ming Chan may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 200449
2 200346
3 199340
4 199636
5 200333
6 199728
7 199823
8 200319
9 200512
10 199912
11 200511
12 200210
13 200310
14 20049
15 20069
16 20045
17 20073
18 20031
19 20051

About Tze‐Ming Chan

Tze‐Ming Chan is a scholar working on Molecular Biology, Organic Chemistry, Pharmacology, Plant Science and Hepatology, having authored 19 papers that have together received 357 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (6 papers), Carbohydrate Chemistry and Synthesis (5 papers), Hepatitis C virus research (4 papers), Chemical Synthesis and Analysis (3 papers), Bioactive Compounds and Antitumor Agents (3 papers), Molecular spectroscopy and chirality (2 papers), HIV/AIDS drug development and treatment (2 papers) and Phytochemistry and Biological Activities (2 papers). The work is most often cited by research in Hepatology (46 citations), Pharmacology (83 citations), Toxicology (15 citations), Organic Chemistry (111 citations) and Biochemistry (19 citations). Tze‐Ming Chan has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Mahesh Patel, Vincent P. Gullo, Ronald Mierzwa, Vinod R. Hegde, Min Chu, Haiyan Pu, Todd A. Black, Wenjun Zhao, Andrew T. McPhail and Mohindar S. Puar. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, The Journal of Organic Chemistry, Magnetic Resonance in Chemistry and Journal of Natural Products.

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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