Bo‐Shiun Yan

2.3k citations
35 papers · 1.7k · h-index 22

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

35 papers receiving 1.7k citations

Peers

Bo‐Shiun Yan
Comparison fields: 5 of 97
  • Infectious Diseases 791
  • Immunology 532
  • Epidemiology 640
  • Hepatology 84
  • Molecular Medicine 52
Replace Ramakrishna Vankayalapati with:
Ramakrishna Vankayalapati United States
Silvia Guglietta United States
Ang Lin China
Kiyoyasu Fukushima Japan
Mariëlle C. Haks Netherlands
Richard L. Friedman United States
François Coulombe Canada
Borko Amulic Germany
Malcolm P. France Australia
Diane U. Leong United States
Bo‐Shiun Yan relative to Ramakrishna Vankayalapati United States Ramakrishna Vankayalapati's profile →
Citations per field
00.5×7.6×
Ramakrishna Vankayalapati · 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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005358
2 2008175
3 2011128
4 2008119
5 1990104
6 2009103
7 201398
8 200990
9 200970
10 200642
11 200741
12 201137
13 201433
14 201733
15 200429
16 202026
17 199926
18 199824
19 200822
20 201921

About Bo‐Shiun Yan

Bo‐Shiun Yan is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Immunology and Oncology, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), Mycobacterium research and diagnosis (10 papers), Cytokine Signaling Pathways and Interactions (5 papers), Immune Response and Inflammation (5 papers), Hepatitis C virus research (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Viral Infections and Immunology Research (3 papers). The work is most often cited by research in Infectious Diseases (791 citations), Immunology (532 citations), Epidemiology (640 citations), Hepatology (84 citations) and Molecular Medicine (52 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, Mark J. Daly, Yuriy V. Shebzukhov, Alexander Pichugin, Mauricio Rojas, Howard L. Weiner, Darren E. Higgins and Hongwei Zhou. Their work appears in journals such as The Journal of Immunology, Scientific Reports, Disease Markers, Genes and Immunity and American Journal of Respiratory and Critical Care Medicine.

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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