David Tsang

1.7k total citations
23 papers, 1.4k citations indexed

About

David Tsang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, David Tsang has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 5 papers in Pathology and Forensic Medicine. Recurrent topics in David Tsang's work include Tea Polyphenols and Effects (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Prenatal Substance Exposure Effects (3 papers). David Tsang is often cited by papers focused on Tea Polyphenols and Effects (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Prenatal Substance Exposure Effects (3 papers). David Tsang collaborates with scholars based in Hong Kong, Canada and Netherlands. David Tsang's co-authors include Zhen‐Yu Chen, Yü Huang, Qin Zhu, Anqi Zhang, James R. Brawer, Jacques Epelbaum, Paul Brazeau, Joseph B. Martin, Lai K. Leung and Samarthji Lal and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Brain Research and Journal of Lipid Research.

In The Last Decade

David Tsang

23 papers receiving 1.3k citations

Peers

David Tsang
Comparison fields: 5 of 109
  • Pathology and Forensic Medicine 622
  • Biochemistry 541
  • Molecular Biology 333
  • Food Science 200
  • Cellular and Molecular Neuroscience 179
Replace Tomonori Unno with:
Tomonori Unno Japan
M. Begoña Ruiz‐Larrea Spain
Efstathia Bakogeorgou Greece
Lydia Reznichenko Israel
Geetha Ghai United States
Oldřich Lapčı́k Czechia
Chih‐Li Lin Taiwan
Yoshiaki Miyake Japan
Monira Pervin Japan
Sebastian Schaffer Germany
Tomonori Unno Japan View profile →
Citations per field, relative to David Tsang
David Tsang · 1×
Citations per year, relative to David Tsang
David Tsang · 1×

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-authorship network of co-authors of David Tsang

This figure shows the co-authorship network connecting the top 25 collaborators of David Tsang. A scholar is included among the top collaborators of David Tsang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Tsang. David Tsang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 18
3 17
4 49
5 12
6 53
7 36
8 2
9 25
10 381
11 122
12 6
13 356
14 13
15 24
16 3
17 4
18 28
19 12
20 8

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026