Kai Tang

1.8k total citations · 1 hit paper
47 papers, 1.3k citations indexed

About

Kai Tang is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kai Tang has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Immunology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kai Tang's work include Ginseng Biological Effects and Applications (4 papers), Peptidase Inhibition and Analysis (4 papers) and Protein Tyrosine Phosphatases (4 papers). Kai Tang is often cited by papers focused on Ginseng Biological Effects and Applications (4 papers), Peptidase Inhibition and Analysis (4 papers) and Protein Tyrosine Phosphatases (4 papers). Kai Tang collaborates with scholars based in China, New Zealand and Singapore. Kai Tang's co-authors include Bin Yu, Yihui Song, Yahong Wu, Yun‐Jiu Cheng, Lijuan Liu, Su‐Hua Wu, Xiao‐Xiong Lin, Luis Miguel Dos Santos, Hong‐Min Liu and Wu‐Tao Zeng and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of the American College of Cardiology.

In The Last Decade

Kai Tang

43 papers receiving 1.3k citations

Hit Papers

Indoleamine 2,3-dioxygenase 1 (IDO1) inhibitors in clinic... 2021 2026 2022 2024 2021 50 100 150 200

Peers

Kai Tang
Comparison fields: 5 of 135
  • Molecular Biology 585
  • Cardiology and Cardiovascular Medicine 223
  • Immunology 184
  • Oncology 170
  • Epidemiology 151
Replace Jeng‐Jer Shieh with:
Jeng‐Jer Shieh Taiwan
Daman Saluja India
Xuemei Li China
Eric Jacobson United States
Young-Hee Jin South Korea
Mark R. Burns United States
Mirza S. Baig India
Yi Ming Shao China
Jeng‐Jer Shieh Taiwan View profile →
Citations per field, relative to Kai Tang
Kai Tang · 1×
Citations per year, relative to Kai Tang
Kai Tang · 1×

Countries citing papers authored by Kai Tang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Tang. A scholar is included among the top collaborators of Kai 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 Kai Tang. Kai 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 0
2 3
3 0
4 2
5 3
6 5
7 10
8 30
9 17
10 16
11
Indoleamine 2,3-dioxygenase 1 (IDO1) inhibitors in clinical trials for cancer immunotherapy breakdown →
246
12 34
13 67
14 0
15 5
16 26
17 39
18 115
19 48
20 11

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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2026