Yu‐Min Kuo
Impact in
- Clinical Biochemistry top 5%
- Advanced Glycation End Products research
-
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
- Immunology 16
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 11
- Immune Response and Inflammation 4
- Co-authors
- Song‐Chou Hsieh (23 shared papers)Ko‐Jen Li (20 shared papers)Cheng-Han Wu (20 shared papers)Chia‐Li Yu (19 shared papers)Chieh‐Yu Shen (19 shared papers)Cheng‐Hsun Lu (13 shared papers)Chang‐Youh Tsai (11 shared papers)Hsien‐Tzung Liao (9 shared papers)
- Journals
- International Journal of Molecular Sciences (7 papers)Biomedicines (3 papers)PLoS ONE (2 papers)Molecules (2 papers)Scientific Reports (2 papers)
- Partner nations
- Taiwan
In The Last Decade
Yu‐Min Kuo
35 papers receiving 763 citations
Peers
Comparison fields: 5 of 102
- Clinical Biochemistry 123
- Immunology 171
- Rheumatology 72
- Endocrinology, Diabetes and Metabolism 76
- Pathology and Forensic Medicine 53
Countries citing papers authored by Yu‐Min Kuo
This map shows the geographic impact of Yu‐Min Kuo'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 Yu‐Min Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Min Kuo more than expected).
Fields of papers citing papers by Yu‐Min Kuo
This network shows the impact of papers produced by Yu‐Min Kuo. 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 Yu‐Min Kuo. The network helps show where Yu‐Min Kuo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Min Kuo, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 204 | |
| 2 | 2021 | 54 | |
| 3 | 2015 | 51 | |
| 4 | 2019 | 39 | |
| 5 | 2011 | 31 | |
| 6 | 2019 | 30 | |
| 7 | 2018 | 26 | |
| 8 | 2016 | 24 | |
| 9 | 2020 | 23 | |
| 10 | 2023 | 21 | |
| 11 | 2021 | 21 | |
| 12 | 2017 | 21 | |
| 13 | 2021 | 19 | |
| 14 | 2020 | 18 | |
| 15 | 2020 | 18 | |
| 16 | 2019 | 17 | |
| 17 | 2021 | 15 | |
| 18 | 2010 | 15 | |
| 19 | 2022 | 13 | |
| 20 | 2024 | 13 |
About Yu‐Min Kuo
Yu‐Min Kuo is a scholar working on Immunology, Epidemiology, Rheumatology, Infectious Diseases and Molecular Biology, having authored 37 papers that have together received 775 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (11 papers), Immune Response and Inflammation (4 papers), Advanced Glycation End Products research (4 papers), Streptococcal Infections and Treatments (3 papers), Systemic Lupus Erythematosus Research (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Blood disorders and treatments (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Clinical Biochemistry (123 citations), Immunology (171 citations), Rheumatology (72 citations), Endocrinology, Diabetes and Metabolism (76 citations) and Pathology and Forensic Medicine (53 citations). Yu‐Min Kuo has collaborated with scholars based in Taiwan. Frequent co-authors include Song‐Chou Hsieh, Ko‐Jen Li, Cheng-Han Wu, Chia‐Li Yu, Chieh‐Yu Shen, Cheng‐Hsun Lu, Chang‐Youh Tsai, Hsien‐Tzung Liao, Hui-Ting Lee and Ming‐Han Chen. Their work appears in journals such as International Journal of Molecular Sciences, Biomedicines, PLoS ONE, Molecules and Scientific Reports.
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.