Jinyan Cheng
Impact in
-
- Cancer-related molecular mechanisms research
-
- Viral Infections and Immunology Research
Papers in
-
- Machine Learning in Bioinformatics 2
-
- Immunotherapy and Immune Responses 2
- Biomarkers in Disease Mechanisms 1
- Co-authors
- Jianwei Shuai (6 shared papers)Qi Zhao (3 shared papers)Yuer Lu (3 shared papers)Tao Lin (1 shared paper)Junjie Zhao (1 shared paper)Yaru Zhang (1 shared paper)Jie Lyu (1 shared paper)Fei Xu (1 shared paper)
- Journals
- International Immunopharmacology (3 papers)Journal of Virology (2 papers)Computers in Biology and Medicine (2 papers)Journal of Advanced Research (1 paper)Journal of Innate Immunity (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Jinyan Cheng
14 papers receiving 262 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 39
- Cardiology and Cardiovascular Medicine 39
- Computational Theory and Mathematics 29
- Molecular Biology 119
- Immunology 33
Countries citing papers authored by Jinyan Cheng
This map shows the geographic impact of Jinyan Cheng'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 Jinyan Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinyan Cheng more than expected).
Fields of papers citing papers by Jinyan Cheng
This network shows the impact of papers produced by Jinyan Cheng. 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 Jinyan Cheng. The network helps show where Jinyan Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinyan Cheng, 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 | 2023 | 92 | |
| 2 | 2024 | 49 | |
| 3 | 2020 | 27 | |
| 4 | 2020 | 25 | |
| 5 | 2023 | 20 | |
| 6 | 2016 | 12 | |
| 7 | 2021 | 10 | |
| 8 | 2009 | 8 | |
| 9 | 2014 | 8 | |
| 10 | 2024 | 5 | |
| 11 | 2025 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2012 | 1 |
About Jinyan Cheng
Jinyan Cheng is a scholar working on Molecular Biology, Immunology, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 263 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (2 papers), Machine Learning in Bioinformatics (2 papers), Viral Infections and Immunology Research (2 papers), Nanoplatforms for cancer theranostics (2 papers), Biomarkers in Disease Mechanisms (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Silk-based biomaterials and applications (1 paper) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Cancer Research (39 citations), Cardiology and Cardiovascular Medicine (39 citations), Computational Theory and Mathematics (29 citations), Molecular Biology (119 citations) and Immunology (33 citations). Jinyan Cheng has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Jianwei Shuai, Qi Zhao, Yuer Lu, Tao Lin, Junjie Zhao, Yaru Zhang, Jie Lyu, Fei Xu, Zhen Feng and Xin Yang. Their work appears in journals such as International Immunopharmacology, Journal of Virology, Computers in Biology and Medicine, Journal of Advanced Research and Journal of Innate Immunity.
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.