Bo‐Gie Yang
Impact in
- Immunology top 1%
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Immunology and Allergy top 2%
Papers in
- Immunology 11
- T-cell and B-cell Immunology 7
- IL-33, ST2, and ILC Pathways 3
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- Cell Adhesion Molecules Research 3
- Co-authors
- Myoung Ho Jang (20 shared papers)Shizuo Akira (3 shared papers)Satoshi Uematsu (2 shared papers)Tohru Tsujimura (2 shared papers)Masayuki Miyasaka (8 shared papers)Naoki Yamamoto (1 shared paper)Taro Kawai (1 shared paper)Hiroko Omori (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Scientific Reports (2 papers)Nutrients (2 papers)Nature Immunology (1 paper)Nature Communications (1 paper)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Bo‐Gie Yang
29 papers receiving 4.1k citations
Bo‐Gie Yang's Hit Papers
Peers
Comparison fields: 5 of 94
- Immunology 1.3k
- Immunology and Allergy 156
- Epidemiology 905
- Genetics 474
- Molecular Biology 966
Countries citing papers authored by Bo‐Gie Yang
This map shows the geographic impact of Bo‐Gie Yang'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‐Gie Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo‐Gie Yang more than expected).
Fields of papers citing papers by Bo‐Gie Yang
This network shows the impact of papers produced by Bo‐Gie Yang. 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‐Gie Yang. The network helps show where Bo‐Gie Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo‐Gie Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Loss of the autophagy protein Atg16L1 enhances endotoxin-induced IL-1β production Hit paper breakdown → | 2008 | 1796 |
| 2 | 2008 | 639 | |
| 3 | 2016 | 436 | |
| 4 | 2006 | 351 | |
| 5 | 2005 | 165 | |
| 6 | 2017 | 101 | |
| 7 | 2016 | 95 | |
| 8 | 2014 | 94 | |
| 9 | 2007 | 60 | |
| 10 | 2013 | 48 | |
| 11 | 2017 | 44 | |
| 12 | 2014 | 36 | |
| 13 | 2004 | 34 | |
| 14 | 2012 | 32 | |
| 15 | 2014 | 30 | |
| 16 | 2004 | 28 | |
| 17 | 2011 | 26 | |
| 18 | 2022 | 25 | |
| 19 | 2023 | 25 | |
| 20 | 2008 | 23 |
About Bo‐Gie Yang
Bo‐Gie Yang is a scholar working on Immunology, Immunology and Allergy, Oncology, Food Science and Genetics, having authored 30 papers that have together received 4.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Chemokine receptors and signaling (5 papers), Asthma and respiratory diseases (4 papers), Gut microbiota and health (4 papers), Probiotics and Fermented Foods (4 papers), Inflammatory Bowel Disease (4 papers), Cell Adhesion Molecules Research (3 papers) and IL-33, ST2, and ILC Pathways (3 papers). The work is most often cited by research in Immunology (1.3k citations), Immunology and Allergy (156 citations), Epidemiology (905 citations), Genetics (474 citations) and Molecular Biology (966 citations). Bo‐Gie Yang has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Myoung Ho Jang, Shizuo Akira, Satoshi Uematsu, Tohru Tsujimura, Masayuki Miyasaka, Naoki Yamamoto, Taro Kawai, Hiroko Omori, Tatsuya Saitoh and Osamu Takeuchi. Their work appears in journals such as The Journal of Immunology, Scientific Reports, Nutrients, Nature Immunology 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.