Fangjun Chen
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
- Oncology 19
- Cancer Immunotherapy and Biomarkers 12
- CAR-T cell therapy research 5
- Lung Cancer Research Studies 4
- Immunology 16
- Immunotherapy and Immune Responses 16
- Co-authors
- Baorui Liu (18 shared papers)Fanyan Meng (14 shared papers)Zhengyun Zou (11 shared papers)Juan Du (10 shared papers)Jie Shao (9 shared papers)Huizi Sha (7 shared papers)Jia Wei (9 shared papers)Lixia Yu (6 shared papers)
- Journals
- Cellular Immunology (4 papers)Journal of Clinical Investigation (1 paper)BMC Cancer (1 paper)BMC Pulmonary Medicine (1 paper)Frontiers in Medicine (1 paper)
- Partner nations
- China
In The Last Decade
Fangjun Chen
32 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 62
- Oncology 439
- Cancer Research 239
- Immunology 289
- Biomaterials 114
- Molecular Biology 329
Countries citing papers authored by Fangjun Chen
This map shows the geographic impact of Fangjun 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 Fangjun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangjun Chen more than expected).
Fields of papers citing papers by Fangjun Chen
This network shows the impact of papers produced by Fangjun 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 Fangjun Chen. The network helps show where Fangjun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Fangjun 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 270 | |
| 2 | 2019 | 193 | |
| 3 | 2019 | 102 | |
| 4 | 2014 | 99 | |
| 5 | 2016 | 87 | |
| 6 | 2018 | 84 | |
| 7 | 2013 | 77 | |
| 8 | 2017 | 62 | |
| 9 | 2019 | 47 | |
| 10 | 2017 | 44 | |
| 11 | 2018 | 32 | |
| 12 | 2022 | 27 | |
| 13 | 2017 | 25 | |
| 14 | 2018 | 18 | |
| 15 | 2018 | 17 | |
| 16 | Bispecific tumor-penetrating protein anti-EGFR-iRGD efficiently enhances the infiltration of lymphocytes in gastric cancer. | 2018 | 12 |
| 17 | 2019 | 11 | |
| 18 | 2016 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2022 | 10 |
About Fangjun Chen
Fangjun Chen is a scholar working on Oncology, Immunology, Cancer Research, Biotechnology and Hepatology, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (16 papers), Cancer Immunotherapy and Biomarkers (12 papers), Cancer-related molecular mechanisms research (5 papers), CAR-T cell therapy research (5 papers), Lung Cancer Research Studies (4 papers), Cancer Research and Treatments (3 papers), Lung Cancer Treatments and Mutations (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Oncology (439 citations), Cancer Research (239 citations), Immunology (289 citations), Biomaterials (114 citations) and Molecular Biology (329 citations). Fangjun Chen has collaborated with scholars based in China. Frequent co-authors include Baorui Liu, Fanyan Meng, Zhengyun Zou, Juan Du, Jie Shao, Huizi Sha, Jia Wei, Lixia Yu, Naiqing Ding and Lianru Zhang. Their work appears in journals such as Cellular Immunology, Journal of Clinical Investigation, BMC Cancer, BMC Pulmonary Medicine and Frontiers in 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.