Chi Jin
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Circular RNAs in diseases
- RNA modifications and cancer
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
- RNA Research and Splicing
Papers in
-
- RNA modifications and cancer 5
- Circular RNAs in diseases 4
- Ubiquitin and proteasome pathways 3
- Epigenetics and DNA Methylation 2
- Cancer-related gene regulation 2
- Extracellular vesicles in disease 2
-
- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 2
- Co-authors
- Chaofan Peng (8 shared papers)Jiangzhou Ji (6 shared papers)Peng Yang (6 shared papers)Jiahui Zhou (6 shared papers)Yuqian Tan (5 shared papers)Yueming Sun (8 shared papers)Tuo Wang (6 shared papers)Qingyang Sun (6 shared papers)
- Journals
- Advanced Science (4 papers)Clinical and Translational Medicine (2 papers)Journal of Experimental & Clinical Cancer Research (2 papers)Oncogene (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Chi Jin
14 papers receiving 472 citations
Peers
Comparison fields: 5 of 64
- Cancer Research 187
- Molecular Biology 333
- Oncology 58
- Human-Computer Interaction 12
- Cell Biology 22
Countries citing papers authored by Chi Jin
This map shows the geographic impact of Chi Jin'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 Chi Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Jin more than expected).
Fields of papers citing papers by Chi Jin
This network shows the impact of papers produced by Chi Jin. 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 Chi Jin. The network helps show where Chi Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi Jin, 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 | 2022 | 109 | |
| 2 | 2021 | 82 | |
| 3 | 2021 | 50 | |
| 4 | 2022 | 43 | |
| 5 | 2021 | 42 | |
| 6 | 2020 | 41 | |
| 7 | 2021 | 34 | |
| 8 | 2022 | 29 | |
| 9 | 2024 | 20 | |
| 10 | 2024 | 12 | |
| 11 | 2024 | 5 | |
| 12 | 2024 | 3 | |
| 13 | 2025 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 0 |
About Chi Jin
Chi Jin is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 475 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Circular RNAs in diseases (4 papers), Ubiquitin and proteasome pathways (3 papers), MicroRNA in disease regulation (3 papers), Epigenetics and DNA Methylation (2 papers), Cancer-related gene regulation (2 papers), Cancer-related molecular mechanisms research (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Cancer Research (187 citations), Molecular Biology (333 citations), Oncology (58 citations), Human-Computer Interaction (12 citations) and Cell Biology (22 citations). Chi Jin has collaborated with scholars based in China and United States. Frequent co-authors include Chaofan Peng, Jiangzhou Ji, Peng Yang, Jiahui Zhou, Yuqian Tan, Yueming Sun, Tuo Wang, Qingyang Sun, Yifei Feng and Chuan Zhang. Their work appears in journals such as Advanced Science, Clinical and Translational Medicine, Journal of Experimental & Clinical Cancer Research, Oncogene 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.