David Tsang

1.7k citations
24 papers · 1.5k · h-index 14

Impact in

Papers in

David Tsang

24 papers receiving 1.4k citations

Peers

David Tsang
Comparison fields: 5 of 111
  • Biochemistry 569
  • Pathology and Forensic Medicine 673
  • Applied Microbiology and Biotechnology 65
  • Biological Psychiatry 34
  • Complementary and alternative medicine 93
Replace Tomonori Unno with:
Tomonori Unno Japan
Thierry Chataigneau France
Altaf S. Darvesh United States
Jingwu Hou China
Kyuichi Kawabata Japan
Zhongwen Xie China
Geetha R. Ghai United States
Naghma Hadi India
Yoriyuki Nakamura Japan
Zhizhong Ma China
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Citations per field
00.5×1.5×1.8×
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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000415
2 1997380
3 1977188
4 1999132
5 200254
6 200449
7 200237
8 197732
9 198429
10 200126
11 199425
12 200319
13 200818
14 200517
15 199514
16 197814
17 19779
18 20237
19 19976
20 19854

About David Tsang

David Tsang is a scholar working on Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Biochemistry, Molecular Biology and Pharmacology, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Prenatal Substance Exposure Effects (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Retinal Development and Disorders (2 papers). The work is most often cited by research in Biochemistry (569 citations), Pathology and Forensic Medicine (673 citations), Applied Microbiology and Biotechnology (65 citations), Biological Psychiatry (34 citations) and Complementary and alternative medicine (93 citations). David Tsang has collaborated with scholars based in Hong Kong, Canada and United Kingdom. Frequent co-authors include Zhen‐Yu Chen, Qin Yan Zhu, Yu Huang, Anqi Zhang, James R. Brawer, Jacques Epelbaum, Paul Brazeau, Joseph B. Martin, Lai Kwok Leung and Samarthji Lal. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Brain Research, Cells Tissues Organs, The International Journal of Biochemistry & Cell Biology and Acta Histochemica.

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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