Chul‐Su Yang
- Artificial Intelligence top 0.2%
- Information Systems top 0.1%
- Immunology top 1%
- Immune Response and Inflammation 25
- Immune cells in cancer 14
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 11
- interferon and immune responses 9
- Pharmacology top 0.5%
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology 24
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- Mycobacterium research and diagnosis 20
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- Cytokine Signaling Pathways and Interactions 9
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- Inflammasome and immune disorders 9
Chul‐Su Yang
188 papers receiving 12.2k citations
Hit Papers
Peers
Comparison fields: 5 of 215
- Artificial Intelligence 3.4k
- Information Systems 2.3k
- Immunology 2.0k
- Pharmacology 648
- Infectious Diseases 1.3k
Countries citing papers authored by Chul‐Su Yang
This map shows the geographic impact of Chul‐Su 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 Chul‐Su Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chul‐Su Yang more than expected).
Fields of papers citing papers by Chul‐Su Yang
This network shows the impact of papers produced by Chul‐Su 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 Chul‐Su Yang. The network helps show where Chul‐Su Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chul‐Su 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 10 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 9 | |
| 9 | 2020 | 28 | |
| 10 | 2020 | 11 | |
| 11 | 2020 | 16 | |
| 12 | 2020 | 21 | |
| 13 | 2020 | 7 | |
| 14 | 2018 | 20 | |
| 15 | 2018 | 23 | |
| 16 | 2017 | 65 | |
| 17 | 2017 | 23 | |
| 18 | 2015 | 106 | |
| 19 | Morphological and Textural Comparisons of Soybean Mozzarella Cheese Analogs Prepared with Different Hydrocolloids | 1982 | 5 |
| 20 | Experimental infection with poliovirus type I in Taiwan monkeys by oral route. | 1962 | 1 |
About Chul‐Su Yang
Chul‐Su Yang is a scholar working on Immunology, Biological Psychiatry and Infectious Diseases, having authored 199 papers that have together received 12.9k indexed citations. Recurring topics across this work include Immune Response and Inflammation (25 papers), Tuberculosis Research and Epidemiology (24 papers), Mycobacterium research and diagnosis (20 papers), Immune cells in cancer (14 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (11 papers), interferon and immune responses (9 papers), Cytokine Signaling Pathways and Interactions (9 papers) and Inflammasome and immune disorders (9 papers). The work is most often cited by research in Artificial Intelligence (3.4k citations), Information Systems (2.3k citations) and Immunology (2.0k citations). Chul‐Su Yang has collaborated with scholars based in South Korea, United States and Taiwan. Frequent co-authors include Gerard Salton, Anita M.-Y. Wong, Eun‐Kyeong Jo, Jae–Min Yuk, Jin‐Man Kim, Dong–Min Shin, Hyo Sun Jin, C. Yu, Hye‐Mi Lee and Clifford V. Harding. Their work appears in journals such as The Journal of Immunology, Cellular Microbiology, Journal of Food Science, Frontiers in Immunology and Journal of Controlled Release.
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.