Jin Chen
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
Papers in ⓘ
-
- Cancer, Hypoxia, and Metabolism 8
- Oncology 24
- Pancreatic and Hepatic Oncology Research 8
- Cancer-related Molecular Pathways 5
- Co-authors
- Bixiang Zhang (14 shared papers)Huifang Liang (16 shared papers)Jie Mo (12 shared papers)Xiaoping Chen (13 shared papers)Liang Chu (7 shared papers)Su Chen (4 shared papers)Pengcheng Li (3 shared papers)Qiumeng Liu (14 shared papers)
- Journals
- Cell Death and Differentiation (3 papers)Hepatology (2 papers)Oncogene (2 papers)Medicine (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jin Chen
80 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 178
- Oncology 238
- Molecular Medicine 43
- Molecular Biology 594
- Pharmacology 70
Countries citing papers authored by Jin Chen
This map shows the geographic impact of Jin 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 Jin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Chen more than expected).
Fields of papers citing papers by Jin Chen
This network shows the impact of papers produced by Jin 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 Jin Chen. The network helps show where Jin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 148 | |
| 2 | 2019 | 116 | |
| 3 | 2019 | 75 | |
| 4 | 2014 | 57 | |
| 5 | 2020 | 52 | |
| 6 | 2013 | 51 | |
| 7 | 2020 | 45 | |
| 8 | 2023 | 44 | |
| 9 | 2020 | 38 | |
| 10 | 2014 | 36 | |
| 11 | 2018 | 32 | |
| 12 | 2018 | 32 | |
| 13 | 2019 | 31 | |
| 14 | 2018 | 29 | |
| 15 | 2017 | 29 | |
| 16 | 2020 | 24 | |
| 17 | 2024 | 22 | |
| 18 | 2019 | 22 | |
| 19 | 2014 | 19 | |
| 20 | 2014 | 18 |
About Jin Chen
Jin Chen is a scholar working on Cancer Research, Oncology, Pharmacology, Pathology and Forensic Medicine and Molecular Biology, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (8 papers), Pancreatic and Hepatic Oncology Research (8 papers), Ubiquitin and proteasome pathways (7 papers), RNA modifications and cancer (5 papers), Cancer-related Molecular Pathways (5 papers), Cancer-related gene regulation (5 papers), Cancer Mechanisms and Therapy (4 papers) and Ferroptosis and cancer prognosis (4 papers). The work is most often cited by research in Cancer Research (178 citations), Oncology (238 citations), Molecular Medicine (43 citations), Molecular Biology (594 citations) and Pharmacology (70 citations). Jin Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bixiang Zhang, Huifang Liang, Jie Mo, Xiaoping Chen, Liang Chu, Su Chen, Pengcheng Li, Qiumeng Liu, Zhao Huang and Shasha Song. Their work appears in journals such as Cell Death and Differentiation, Hepatology, Oncogene, Medicine and Cell Death and Disease.
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.