Ming Tan

7.3k total citations
127 papers, 5.7k citations indexed

About

Ming Tan is a scholar working on Infectious Diseases, Animal Science and Zoology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ming Tan has authored 127 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Infectious Diseases, 60 papers in Animal Science and Zoology and 56 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ming Tan's work include Viral gastroenteritis research and epidemiology (107 papers), Animal Virus Infections Studies (60 papers) and Viral Infections and Immunology Research (56 papers). Ming Tan is often cited by papers focused on Viral gastroenteritis research and epidemiology (107 papers), Animal Virus Infections Studies (60 papers) and Viral Infections and Immunology Research (56 papers). Ming Tan collaborates with scholars based in United States, China and Canada. Ming Tan's co-authors include Xi Jiang, Pengwei Huang, Ming Xia, Weiming Zhong, Rashmi S. Hegde, Jarek Meller, Ardythe L. Morrow, Tibor Farkas, Chao Wei and Leyi Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and ACS Nano.

In The Last Decade

Ming Tan

125 papers receiving 5.6k citations

Peers

Ming Tan
Comparison fields: 5 of 110
  • Infectious Diseases 4.8k
  • Animal Science and Zoology 2.3k
  • Cardiology and Cardiovascular Medicine 2.0k
  • Genetics 1.7k
  • Epidemiology 874
Replace Barbara S. Coulson with:
Barbara S. Coulson Australia
Susana López Mexico
Grant S. Hansman Japan
Koki Taniguchi Japan
Ian Goodfellow United Kingdom
Ian N. Clarke United Kingdom
Paul R. Lambden United Kingdom
Jason M. Mackenzie Australia
Kwonil Jung United States
Annie Charpilienne France
Barbara S. Coulson Australia View profile →
Citations per field, relative to Ming Tan
Ming Tan · 1×
Citations per year, relative to Ming Tan
Ming Tan · 1×

Countries citing papers authored by Ming Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Tan. A scholar is included among the top collaborators of Ming Tan 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 Ming Tan. Ming Tan 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 20
3 4
4 5
5 4
6 3
7 1
8 11
9 9
10 24
11 8
12 20
13 37
14 12
15 15
16 13
17 48
18 58
19 305
20 152

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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