He Chang
Impact in
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- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Psoriasis: Treatment and Pathogenesis
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- Viral Infections and Immunology Research
Papers in ⓘ
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- Viral Infections and Immunology Research 13
- Co-authors
- Haruo Hanawa (12 shared papers)Jun‐ichi Miyazaki (7 shared papers)Makoto Kodama (9 shared papers)Yoshifusa Aizawa (9 shared papers)Jun Zou (6 shared papers)Kiminori Kato (8 shared papers)Tsuyoshi Yoshida (8 shared papers)Ken Toba (5 shared papers)
- Journals
- Journal of Cardiac Failure (2 papers)The Journal of Immunology (2 papers)Experimental Cell Research (2 papers)Circulation Journal (1 paper)International Journal of Cardiology (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
He Chang
24 papers receiving 455 citations
Peers
Comparison fields: 5 of 69
- Immunology 211
- Cardiology and Cardiovascular Medicine 134
- Dermatology 30
- Immunology and Allergy 15
- Molecular Biology 158
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 98 | |
| 2 | 2011 | 61 | |
| 3 | 2008 | 45 | |
| 4 | 2018 | 40 | |
| 5 | 2005 | 32 | |
| 6 | 2018 | 21 | |
| 7 | 2014 | 20 | |
| 8 | 2005 | 18 | |
| 9 | 2013 | 15 | |
| 10 | 2013 | 14 | |
| 11 | 2008 | 14 | |
| 12 | 2005 | 14 | |
| 13 | 2017 | 14 | |
| 14 | 2024 | 10 | |
| 15 | 2025 | 8 | |
| 16 | 2004 | 8 | |
| 17 | 2020 | 6 | |
| 18 | 2013 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2010 | 4 |
About He Chang
He Chang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 461 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (13 papers), T-cell and B-cell Immunology (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Immune Cell Function and Interaction (3 papers), Diabetes Treatment and Management (3 papers), Pancreatic function and diabetes (2 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Immunology (211 citations), Cardiology and Cardiovascular Medicine (134 citations), Dermatology (30 citations), Immunology and Allergy (15 citations) and Molecular Biology (158 citations). He Chang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Haruo Hanawa, Jun‐ichi Miyazaki, Makoto Kodama, Yoshifusa Aizawa, Jun Zou, Kiminori Kato, Tsuyoshi Yoshida, Ken Toba, Kaori Yoshida and Hiroki Maruyama. Their work appears in journals such as Journal of Cardiac Failure, The Journal of Immunology, Experimental Cell Research, Circulation Journal and International Journal of Cardiology.
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.