Fu‐Shi Quan

6.8k total citations
229 papers, 5.6k citations indexed

About

Fu‐Shi Quan is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Fu‐Shi Quan has authored 229 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Epidemiology, 69 papers in Immunology and 50 papers in Molecular Biology. Recurrent topics in Fu‐Shi Quan's work include Influenza Virus Research Studies (47 papers), Respiratory viral infections research (42 papers) and Toxoplasma gondii Research Studies (35 papers). Fu‐Shi Quan is often cited by papers focused on Influenza Virus Research Studies (47 papers), Respiratory viral infections research (42 papers) and Toxoplasma gondii Research Studies (35 papers). Fu‐Shi Quan collaborates with scholars based in South Korea, United States and China. Fu‐Shi Quan's co-authors include Sang‐Moo Kang, Richard W. Compans, Mark R. Prausnitz, Dae‐Goon Yoo, Yeu‐Chun Kim, Jae-Min Song, Ki‐Back Chu, Chunzi Huang, Su‐Hwa Lee and Eun‐Kyung Moon and has published in prestigious journals such as PLoS ONE, Biomaterials and Journal of Virology.

In The Last Decade

Fu‐Shi Quan

220 papers receiving 5.5k citations

Peers

Fu‐Shi Quan
Comparison fields: 5 of 138
  • Epidemiology 2.2k
  • Immunology 1.8k
  • Molecular Biology 1.3k
  • Pharmaceutical Science 1.1k
  • Infectious Diseases 989
Replace Harm HogenEsch with:
Harm HogenEsch United States
Gideon Kersten Netherlands
Hiroshi Kiyono Japan
Peter H. Nibbering Netherlands
James M. Brewer United Kingdom
Willem van Eden Netherlands
Nicolas Bouladoux United States
Myoung Ho Jang South Korea
A. Mieke Mommaas Netherlands
Michael J. Wannemuehler United States
Harm HogenEsch United States View profile →
Citations per field, relative to Fu‐Shi Quan
Fu‐Shi Quan · 1×
Citations per year, relative to Fu‐Shi Quan
Fu‐Shi Quan · 1×

Countries citing papers authored by Fu‐Shi Quan

Since Specialization
Citations

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

Fields of papers citing papers by Fu‐Shi Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fu‐Shi Quan

This figure shows the co-authorship network connecting the top 25 collaborators of Fu‐Shi Quan. A scholar is included among the top collaborators of Fu‐Shi Quan 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 Fu‐Shi Quan. Fu‐Shi Quan 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 0
3 0
4 3
5 0
6 0
7 1
8 2
9 5
10 2
11 2
12 1
13 3
14 1
15 10
16 9
17 8
18 58
19 39
20
Application of Various Antigens on the Detection of Antibody in Rabbits Infected with Anisakid Larvae
1

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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