He Chang
Impact in
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- Psoriasis: Treatment and Pathogenesis
- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
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- Viral Infections and Immunology Research
Papers in
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- RNA and protein synthesis mechanisms 2
- Inflammasome and immune disorders 2
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- Viral Infections and Immunology Research 11
- Co-authors
- Haruo Hanawa (12 shared papers)Jun‐ichi Miyazaki (7 shared papers)Kiminori Kato (8 shared papers)Tsuyoshi Yoshida (8 shared papers)Makoto Kodama (9 shared papers)Yoshifusa Aizawa (9 shared papers)Jun Zou (6 shared papers)Ken Toba (5 shared papers)
- Journals
- The Journal of Immunology (2 papers)Experimental Cell Research (2 papers)Journal of Cardiac Failure (2 papers)Clinical and Experimental Medicine (1 paper)Circulation Journal (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
He Chang
27 papers receiving 479 citations
Peers
Comparison fields: 5 of 66
- Immunology 188
- Cardiology and Cardiovascular Medicine 127
- Molecular Biology 154
- Biological Psychiatry 5
- Dermatology 18
Countries citing papers authored by He Chang
This map shows the geographic impact of He Chang'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 He Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites He Chang more than expected).
Fields of papers citing papers by He Chang
This network shows the impact of papers produced by He Chang. 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 He Chang. The network helps show where He Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside He Chang, 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 | 2006 | 102 | |
| 2 | 2011 | 62 | |
| 3 | 2008 | 48 | |
| 4 | 2018 | 43 | |
| 5 | 2005 | 34 | |
| 6 | 2005 | 22 | |
| 7 | 2018 | 21 | |
| 8 | 2014 | 20 | |
| 9 | 2013 | 15 | |
| 10 | 2005 | 15 | |
| 11 | 2013 | 15 | |
| 12 | 2017 | 15 | |
| 13 | 2008 | 14 | |
| 14 | 2024 | 10 | |
| 15 | 2004 | 9 | |
| 16 | 2025 | 8 | |
| 17 | 2020 | 6 | |
| 18 | 2013 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2024 | 4 |
About He Chang
He Chang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Oncology and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 486 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (11 papers), Diabetes Treatment and Management (3 papers), T-cell and B-cell Immunology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers), RNA and protein synthesis mechanisms (2 papers), NF-κB Signaling Pathways (2 papers) and Inflammasome and immune disorders (2 papers). The work is most often cited by research in Immunology (188 citations), Cardiology and Cardiovascular Medicine (127 citations), Molecular Biology (154 citations), Biological Psychiatry (5 citations) and Dermatology (18 citations). He Chang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Haruo Hanawa, Jun‐ichi Miyazaki, Kiminori Kato, Tsuyoshi Yoshida, Makoto Kodama, Yoshifusa Aizawa, Jun Zou, Ken Toba, Hiroki Maruyama and Manabu Hayashi. Their work appears in journals such as The Journal of Immunology, Experimental Cell Research, Journal of Cardiac Failure, Clinical and Experimental Medicine and Circulation Journal.
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.