Cha‐Min Tang

2.7k total citations
42 papers, 2.2k citations indexed

About

Cha‐Min Tang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Cha‐Min Tang has authored 42 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cellular and Molecular Neuroscience, 17 papers in Cognitive Neuroscience and 14 papers in Molecular Biology. Recurrent topics in Cha‐Min Tang's work include Neuroscience and Neuropharmacology Research (22 papers), Photoreceptor and optogenetics research (14 papers) and Neural dynamics and brain function (13 papers). Cha‐Min Tang is often cited by papers focused on Neuroscience and Neuropharmacology Research (22 papers), Photoreceptor and optogenetics research (14 papers) and Neural dynamics and brain function (13 papers). Cha‐Min Tang collaborates with scholars based in United States, South Korea and China. Cha‐Min Tang's co-authors include Martin Morad, Joseph P. Y. Kao, Scott M. Thompson, Michael Margulis, Marc A. Dichter, Gary Lynch, Conrad W Liang, Xiang Cai, S. Muralidharan and Sunggu Yang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Cha‐Min Tang

41 papers receiving 2.1k citations

Peers

Cha‐Min Tang
Comparison fields: 5 of 111
  • Cellular and Molecular Neuroscience 1.5k
  • Molecular Biology 1.0k
  • Cognitive Neuroscience 703
  • Biomedical Engineering 195
  • Neurology 138
Replace Lynn E. Dobrunz with:
Lynn E. Dobrunz United States
Ellen F. Barrett United States
Peter Saggau United States
Alon Korngreen Israel
Srdjan D. Antic United States
P. G. Nelson United States
Tsukasa Oshima Japan
Jack Waters United States
Daniel Kerschensteiner United States
Hee Jung Chung United States
Lynn E. Dobrunz United States View profile →
Citations per field, relative to Cha‐Min Tang
Cha‐Min Tang · 1×
Citations per year, relative to Cha‐Min Tang
Cha‐Min Tang · 1×

Countries citing papers authored by Cha‐Min Tang

Since Specialization
Citations

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

Fields of papers citing papers by Cha‐Min Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cha‐Min Tang. 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 Cha‐Min Tang. The network helps show where Cha‐Min Tang may publish in the future.

Co-authorship network of co-authors of Cha‐Min Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Cha‐Min Tang. A scholar is included among the top collaborators of Cha‐Min Tang 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 Cha‐Min Tang. Cha‐Min Tang 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 7
3 18
4 14
5 8
6 13
7 62
8 29
9 26
10 23
11 21
12 128
13 48
14 8
15 220
16 119
17 2
18 40
19 97
20 195

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