Guo‐Yun Chen
Impact in
- Immunology top 5%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Galectins and Cancer Biology
- Clinical Biochemistry top 2%
- Advanced Glycation End Products research
Papers in
- Immunology 15
- Immune Response and Inflammation 7
- Galectins and Cancer Biology 3
- T-cell and B-cell Immunology 3
- Atherosclerosis and Cardiovascular Diseases 3
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
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- Glycosylation and Glycoproteins Research 9
- Co-authors
- Pan Zheng (6 shared papers)Yang Liu (5 shared papers)Jie Tang (1 shared paper)Yin Wu (8 shared papers)Lizhong Wang (4 shared papers)Xing Chang (1 shared paper)Chong Chen (1 shared paper)Chao Lan (1 shared paper)
- Journals
- The Journal of Immunology (4 papers)iScience (2 papers)Gene (2 papers)Journal of Biological Chemistry (2 papers)Placenta (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Guo‐Yun Chen
23 papers receiving 1.1k citations
Guo‐Yun Chen's Hit Papers
Peers
Comparison fields: 5 of 87
- Immunology 680
- Clinical Biochemistry 158
- Neurology 55
- Molecular Biology 434
- Oncology 151
Countries citing papers authored by Guo‐Yun Chen
This map shows the geographic impact of Guo‐Yun Chen'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 Guo‐Yun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo‐Yun Chen more than expected).
Fields of papers citing papers by Guo‐Yun Chen
This network shows the impact of papers produced by Guo‐Yun Chen. 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 Guo‐Yun Chen. The network helps show where Guo‐Yun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Guo‐Yun Chen, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CD24 and Siglec-10 Selectively Repress Tissue Damage–Induced Immune Responses Hit paper breakdown → | 2009 | 616 |
| 2 | 2009 | 121 | |
| 3 | 2008 | 103 | |
| 4 | 2022 | 42 | |
| 5 | 2016 | 34 | |
| 6 | 2011 | 25 | |
| 7 | 2016 | 22 | |
| 8 | 2020 | 16 | |
| 9 | 2022 | 15 | |
| 10 | 2008 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2011 | 9 | |
| 13 | 2001 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2004 | 5 | |
| 17 | 2012 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2022 | 2 |
About Guo‐Yun Chen
Guo‐Yun Chen is a scholar working on Immunology, Molecular Biology, Clinical Biochemistry, Cell Biology and Genetics, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Immune Response and Inflammation (7 papers), Galectins and Cancer Biology (3 papers), Advanced Glycation End Products research (3 papers), T-cell and B-cell Immunology (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Radiation Detection and Scintillator Technologies (2 papers). The work is most often cited by research in Immunology (680 citations), Clinical Biochemistry (158 citations), Neurology (55 citations), Molecular Biology (434 citations) and Oncology (151 citations). Guo‐Yun Chen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Pan Zheng, Yang Liu, Jie Tang, Yin Wu, Lizhong Wang, Xing Chang, Chong Chen, Chao Lan, Keiichiro Sakuma and Reiji Kannagi. Their work appears in journals such as The Journal of Immunology, iScience, Gene, Journal of Biological Chemistry and Placenta.
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.