Bo‐Shiun Yan

2.1k citations
32 papers · 1.6k · h-index 19

Impact in

    • Tuberculosis Research and Epidemiology
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • interferon and immune responses
    • Immunotherapy and Immune Responses

Papers in

Bo‐Shiun Yan

32 papers receiving 1.6k citations

Peers

Bo‐Shiun Yan
Comparison fields: 5 of 94
  • Infectious Diseases 647
  • Immunology 466
  • Epidemiology 524
  • Hepatology 76
  • Molecular Medicine 49
Replace Elena Giacomini with:
Elena Giacomini Italy
Silvia Guglietta United States
Malcolm P. France Australia
Kiyoyasu Fukushima Japan
Linda A. Lieberman United States
Peter R. Wilker United States
Takayuki Matsumura Japan
Mei Gong United States
Simona Fiorentini Italy
Courtney R. Plumlee United States
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Citations per field
00.5×1.5×
Elena Giacomini · 1×
Citations per year

Countries citing papers authored by Bo‐Shiun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Bo‐Shiun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bo‐Shiun Yan. 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 Bo‐Shiun Yan. The network helps show where Bo‐Shiun Yan may publish in the future.

Co-authors

The 25 scholars most cited alongside Bo‐Shiun Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bo‐Shiun Yan Line = papers co-authored together Bo‐Shiun Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005361
2 2008176
3 2011129
4 2008122
5 1990104
6 201399
7 200992
8 200971
9 200743
10 201138
11 201434
12 201733
13 202031
14 200430
15 199926
16 199824
17 201823
18 201921
19 201721
20 201218

About Bo‐Shiun Yan

Bo‐Shiun Yan is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Immunology and Oncology, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (10 papers), Mycobacterium research and diagnosis (6 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Hepatitis C virus research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Infectious Diseases (647 citations), Immunology (466 citations), Epidemiology (524 citations), Hepatology (76 citations) and Molecular Medicine (49 citations). Bo‐Shiun Yan has collaborated with scholars based in Taiwan, United States and Colombia. Frequent co-authors include Igor Kramnik, Lester Kobzik, Meiling Chen, Mauricio Rojas, Howard L. Weiner, Yuriy V. Shebzukhov, Darren E. Higgins, Barry R. Bloom, Mark J. Daly and Hui Pan. Their work appears in journals such as The Journal of Immunology, Disease Markers, American Journal of Respiratory and Critical Care Medicine, Scientific Reports and Gut Microbes.

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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