Kai Tang

1.6k total citations
67 papers, 1.1k citations indexed

About

Kai Tang is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Kai Tang has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 12 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Surgery. Recurrent topics in Kai Tang's work include Atrial Fibrillation Management and Outcomes (19 papers), Cardiac Arrhythmias and Treatments (18 papers) and Cardiac electrophysiology and arrhythmias (14 papers). Kai Tang is often cited by papers focused on Atrial Fibrillation Management and Outcomes (19 papers), Cardiac Arrhythmias and Treatments (18 papers) and Cardiac electrophysiology and arrhythmias (14 papers). Kai Tang collaborates with scholars based in China, United States and Hong Kong. Kai Tang's co-authors include Yawei Xu, Dadong Guo, Hongsheng Bi, Junguo Guo, Dezheng Yang, Wenchun Wang, Shuai Zhang, Xingrong Wang, Zhijie Liu and Ban Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Kai Tang

63 papers receiving 1.1k citations

Peers

Kai Tang
Comparison fields: 5 of 104
  • Radiology, Nuclear Medicine and Imaging 337
  • Epidemiology 268
  • Cardiology and Cardiovascular Medicine 246
  • Molecular Biology 202
  • Ophthalmology 162
Replace Eun Young Choi with:
Eun Young Choi South Korea
John Wood Australia
Fabiana De Martino Italy
Xiao Lu United States
Cristiano Sarais Italy
Jiangang Wang China
Christine Cheung Singapore
Sheng‐Nan Chang Taiwan
Sen Liu China
Chi‐Hsiao Yeh Taiwan
Eun Young Choi South Korea 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 1
2 0
3 3
4 1
5 2
6 14
7 1
8 4
9 44
10 1
11 0
12 7
13 13
14 19
15 132
16 1
17 9
18 12
19 2
20 50

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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