Shi-Ping Chen
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Viral-associated cancers and disorders
Papers in
- Immunology 10
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 4
- Galectins and Cancer Biology 2
- Oncology 9
- Cancer Immunotherapy and Biomarkers 4
- Viral-associated cancers and disorders 3
- Peptidase Inhibition and Analysis 1
- Cytokine Signaling Pathways and Interactions 1
- Co-authors
- Yong-Qiang Li (10 shared papers)Jian‐Chuan Xia (9 shared papers)Qi-Jing Wang (9 shared papers)Li-Xi Huang (8 shared papers)Jia He (10 shared papers)De-Sheng Weng (6 shared papers)Miao-La Ke (6 shared papers)Ke Pan (5 shared papers)
- Journals
- PLoS ONE (3 papers)Chinese Journal of Cancer (1 paper)Clinical Cancer Research (1 paper)Scientific Reports (1 paper)Journal of Translational Medicine (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Shi-Ping Chen
14 papers receiving 638 citations
Peers
Comparison fields: 5 of 50
- Immunology 377
- Oncology 392
- Pathology and Forensic Medicine 126
- Hepatology 55
- Cancer Research 46
Countries citing papers authored by Shi-Ping Chen
This map shows the geographic impact of Shi-Ping 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 Shi-Ping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shi-Ping Chen more than expected).
Fields of papers citing papers by Shi-Ping Chen
This network shows the impact of papers produced by Shi-Ping 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 Shi-Ping Chen. The network helps show where Shi-Ping Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shi-Ping 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
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 127 | |
| 2 | 2012 | 91 | |
| 3 | 2011 | 90 | |
| 4 | 2014 | 77 | |
| 5 | 2013 | 68 | |
| 6 | 2013 | 40 | |
| 7 | 2011 | 36 | |
| 8 | 2010 | 31 | |
| 9 | 2015 | 23 | |
| 10 | 2007 | 21 | |
| 11 | 2015 | 16 | |
| 12 | 2020 | 15 | |
| 13 | 2006 | 6 | |
| 14 | 2012 | 4 |
About Shi-Ping Chen
Shi-Ping Chen is a scholar working on Immunology, Oncology, Pathology and Forensic Medicine, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 645 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Viral-associated cancers and disorders (3 papers), Galectins and Cancer Biology (2 papers), Peptidase Inhibition and Analysis (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Immunology (377 citations), Oncology (392 citations), Pathology and Forensic Medicine (126 citations), Hepatology (55 citations) and Cancer Research (46 citations). Shi-Ping Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yong-Qiang Li, Jian‐Chuan Xia, Qi-Jing Wang, Li-Xi Huang, Jia He, De-Sheng Weng, Miao-La Ke, Ke Pan, Jing-Jing Zhao and Yi-Xin Zeng. Their work appears in journals such as PLoS ONE, Chinese Journal of Cancer, Clinical Cancer Research, Scientific Reports and Journal of Translational Medicine.
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.