Bo‐Shiun Yan
Impact in
- Infectious Diseases top 2%
- 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
-
- Tuberculosis Research and Epidemiology 12
- Immunology 11
- Immune Response and Inflammation 5
- Immune Cell Function and Interaction 3
- Co-authors
- Igor KramnikLester KobzikMeiling ChenYuriy V. ShebzukhovMark J. DalyAlexander PichuginMauricio RojasHoward L. Weiner
- Journals
- The Journal of Immunology (3 papers)Scientific Reports (2 papers)American Journal of Respiratory and Critical Care Medicine (2 papers)Disease Markers (2 papers)Genes and Immunity (2 papers)
- Partner nations
- TaiwanUnited StatesColombia
In The Last Decade
Bo‐Shiun Yan
35 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 97
- Infectious Diseases 791
- Immunology 532
- Epidemiology 640
- Hepatology 84
- Molecular Medicine 52
Countries citing papers authored by Bo‐Shiun Yan
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 8 | |
| 2 | 2020 | 26 | |
| 3 | 2019 | 13 | |
| 4 | 2019 | 21 | |
| 5 | 2019 | 8 | |
| 6 | 2018 | 9 | |
| 7 | 2017 | 33 | |
| 8 | 2017 | 21 | |
| 9 | 2014 | 33 | |
| 10 | 2013 | 98 | |
| 11 | 2009 | 70 | |
| 12 | 2009 | 103 | |
| 13 | 2008 | 119 | |
| 14 | 2008 | 22 | |
| 15 | 2008 | 175 | |
| 16 | 2007 | 41 | |
| 17 | 2006 | 42 | |
| 18 | 2004 | 29 | |
| 19 | 1996 | 10 | |
| 20 | 1994 | 17 |
About Bo‐Shiun Yan
Bo‐Shiun Yan is a scholar working on Infectious Diseases, Immunology, Epidemiology, Molecular Medicine and Hepatology, 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), Immune Response and Inflammation (5 papers), Cytokine Signaling Pathways and Interactions (5 papers), Immune Cell Function and Interaction (3 papers), Viral Infections and Immunology Research (3 papers), Hepatitis C virus research (3 papers) and Monoclonal and Polyclonal Antibodies 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, Yuriy V. Shebzukhov, Mark J. Daly, 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, American Journal of Respiratory and Critical Care Medicine, Disease Markers and Genes and Immunity.
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.