Yadi Tan

405 total citations
17 papers, 332 citations indexed

About

Yadi Tan is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Yadi Tan has authored 17 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 7 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Yadi Tan's work include Viral gastroenteritis research and epidemiology (6 papers), Bacillus and Francisella bacterial research (5 papers) and Bacteriophages and microbial interactions (3 papers). Yadi Tan is often cited by papers focused on Viral gastroenteritis research and epidemiology (6 papers), Bacillus and Francisella bacterial research (5 papers) and Bacteriophages and microbial interactions (3 papers). Yadi Tan collaborates with scholars based in China, France and United States. Yadi Tan's co-authors include Huanchun Chen, Meilin Jin, Ronald G. Crystal, Neil R. Hackett, Julie L. Boyer, Guihua Wang, Ruihua Zhang, Aizhen Guo, Huiying Fan and Hongchao Li and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Yadi Tan

17 papers receiving 314 citations

Peers

Yadi Tan
Comparison fields: 5 of 46
  • Infectious Diseases 150
  • Epidemiology 134
  • Molecular Biology 117
  • Genetics 92
  • Agronomy and Crop Science 81
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Akira Morooka Japan View profile →
Citations per field, relative to Yadi Tan
Yadi Tan · 1×
Citations per year, relative to Yadi Tan
Yadi Tan · 1×

Countries citing papers authored by Yadi Tan

Since Specialization
Citations

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

Fields of papers citing papers by Yadi Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yadi Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Yadi Tan. A scholar is included among the top collaborators of Yadi 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 Yadi Tan. Yadi Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 8
2 12
3 11
4
Development and application of a latex agglutination test based on the MPB70 protein of Mycobacterium bovis
2
5
[Preparation antibodies against recombinant bovine IFN-gamma and development of sandwich ELISA for bovine IFN-gamma detection].
3
6
Expression of SARS-CoV Spike Protein Fragment of S144-643 and Its Immunogenicity
1
7 2
8 18
9 33
10 13
11 50
12 37
13 18
14 37
15 15
16 26
17 46

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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