Dong‐Ping Chen
Impact in
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Insect Resistance and Genetics 3
- Immunology 11
- Immune cells in cancer 6
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 5
- Co-authors
- Dong‐Ming Kuang (15 shared papers)Limin Zheng (10 shared papers)Wei Yuan (12 shared papers)Xiang‐Ming Lao (9 shared papers)Fang‐Zhu Ouyang (5 shared papers)Minmin Chen (5 shared papers)Christos Xiao (5 shared papers)Yan Wu (4 shared papers)
In The Last Decade
Dong‐Ping Chen
60 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 122
- Immunology 667
- Oncology 503
- Cancer Research 276
- Hepatology 95
- Genetics 87
Countries citing papers authored by Dong‐Ping Chen
This map shows the geographic impact of Dong‐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 Dong‐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 Dong‐Ping Chen more than expected).
Fields of papers citing papers by Dong‐Ping Chen
This network shows the impact of papers produced by Dong‐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 Dong‐Ping Chen. The network helps show where Dong‐Ping Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong‐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
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 276 | |
| 2 | 2019 | 132 | |
| 3 | 2009 | 118 | |
| 4 | 2014 | 106 | |
| 5 | 2019 | 94 | |
| 6 | 2016 | 90 | |
| 7 | 2012 | 89 | |
| 8 | 2018 | 89 | |
| 9 | 2015 | 83 | |
| 10 | 2014 | 72 | |
| 11 | 2016 | 65 | |
| 12 | 2024 | 62 | |
| 13 | 2017 | 57 | |
| 14 | 2018 | 56 | |
| 15 | 2022 | 47 | |
| 16 | 2022 | 44 | |
| 17 | 2020 | 35 | |
| 18 | 2021 | 31 | |
| 19 | 2024 | 29 | |
| 20 | 2017 | 28 |
About Dong‐Ping Chen
Dong‐Ping Chen is a scholar working on Molecular Biology, Immunology, Oncology, Electrical and Electronic Engineering and Nephrology, having authored 63 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune cells in cancer (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Advanced battery technologies research (5 papers), Insect Pest Control Strategies (4 papers), Insect Resistance and Genetics (3 papers) and Conducting polymers and applications (3 papers). The work is most often cited by research in Immunology (667 citations), Oncology (503 citations), Cancer Research (276 citations), Hepatology (95 citations) and Genetics (87 citations). Dong‐Ping Chen has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Dong‐Ming Kuang, Limin Zheng, Wei Yuan, Xiang‐Ming Lao, Fang‐Zhu Ouyang, Minmin Chen, Christos Xiao, Yan Wu, Xuefeng Li and Ruixian Liu. Their work appears in journals such as Hepatology, PLoS ONE, Cancer Research, Journal of Hepatology and 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.