Yi‐Quan Tang

5.1k citations
35 papers · 2.0k indexed · 1 hit paper · h-index 17
Topics
Antimicrobial Peptides and Activities (6 papers)Ion channel regulation and function (4 papers)Genetics, Aging, and Longevity in Model Organisms (3 papers)

In The Last Decade

Yi‐Quan Tang

33 papers receiving 2.0k citations

Hit Papers

A Cyclic Antimicrobial Peptide Produced in Primate Leukoc...19992026200820171999100200300400500

Peers

Yi‐Quan Tang
Comparison fields: 5 of 121
  • Molecular Biology 1.0k
  • Microbiology 794
  • Immunology 482
  • Sensory Systems 152
  • Epidemiology 144
Replace Shigaku Ikeda with:
Shigaku Ikeda Japan
Chrystelle Bonnart France
Yoshihiro Abiko Japan
Regine Gläser Germany
François Niyonsaba Japan
Alison M. McDermott United States
Mónica Vermeulen Argentina
Hiroshi Shirasawa Japan
Josef G. Meingassner Austria
Masamoto Murakami Japan
Yi‐Quan Tang relative to Shigaku Ikeda Japan Shigaku Ikeda's profile →
Citations per field
00.5×2.5×
Shigaku Ikeda · 1×
Citations per year

Countries citing papers authored by Yi‐Quan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Quan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi‐Quan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Quan Tang. A scholar is included among the top collaborators of Yi‐Quan 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 Yi‐Quan Tang. Yi‐Quan 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
#WorkIndexed citations
1 8
2 1
3 0
4 1
5 0
6 1
7 1
8 45
9 6
10 13
11 52
12 135
13 22
14 115
15 6
16 3
17 163
18 459
19 46
20 46

About Yi‐Quan Tang

Yi‐Quan Tang is a scholar working on Aging, Microbiology and Sensory Systems, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (6 papers), Ion channel regulation and function (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Microbiology (794 citations), Sensory Systems (152 citations) and Immunology (482 citations). Yi‐Quan Tang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Michael E. Selsted, Michael R. Yeaman, Jun Yuan, Dat Q. Tran, Christopher J. Miller, George Ösapay, André J. Ouellette, Klára Ősapay, Hongming Miao and Rongchen Shi. Their work appears in journals such as Science, Journal of Biological Chemistry and Nature Communications.

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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