David Tsang

1.7k citations
23 papers · 1.4k · h-index 14

Impact in

Papers in

David Tsang

23 papers receiving 1.3k citations

Peers

David Tsang
Comparison fields: 5 of 109
  • Biochemistry 529
  • Pathology and Forensic Medicine 621
  • Applied Microbiology and Biotechnology 60
  • Biological Psychiatry 33
  • Complementary and alternative medicine 90
Replace Tomonori Unno with:
Tomonori Unno Japan
Thierry Chataigneau France
Altaf S. Darvesh United States
Jingwu Hou China
Geetha Ghai United States
Naghma Hadi India
Zhizhong Ma China
Kazuko Mori Japan
Monira Pervin Japan
Cinzia Castelluccio Italy
David Tsang relative to Tomonori Unno Japan Tomonori Unno's profile →
Citations per field
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Tomonori Unno · 1×
Citations per year

Countries citing papers authored by David Tsang

Since Specialization
Citations

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

Fields of papers citing papers by David Tsang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000384
2 1997357
3 1977168
4 1999123
5 200253
6 200450
7 200236
8 198428
9 197726
10 200126
11 199424
12 200818
13 200517
14 199513
15 200312
16 197812
17 19778
18 19976
19 19854
20 19853

About David Tsang

David Tsang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (4 papers), Prenatal Substance Exposure Effects (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Biochemistry (529 citations), Pathology and Forensic Medicine (621 citations), Applied Microbiology and Biotechnology (60 citations), Biological Psychiatry (33 citations) and Complementary and alternative medicine (90 citations). David Tsang has collaborated with scholars based in Hong Kong, Canada and Netherlands. Frequent co-authors include Zhen‐Yu Chen, Yü Huang, Qin Zhu, Anqi Zhang, Paul Brazeau, Jacques Epelbaum, James R. Brawer, Joseph B. Martin, Lai K. Leung and Samarthji Lal. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Brain Research, Cells Tissues Organs, Cancer Letters and Journal of Neuroimmunology.

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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