Chengyan Jin
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Urology top 10%
- Hair Growth and Disorders
Papers in
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- RNA modifications and cancer 7
- Circular RNAs in diseases 5
- Cell death mechanisms and regulation 3
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- Cancer-related molecular mechanisms research 7
- Co-authors
- Peiyan Hua (10 shared papers)Xingyi Zhang (4 shared papers)Jindong Li (6 shared papers)Guangxin Zhang (3 shared papers)Xiaoyang Lv (5 shared papers)Wei Sun (4 shared papers)Wen Gao (5 shared papers)Jin Chai (3 shared papers)
- Journals
- Scientific Reports (3 papers)PLoS ONE (2 papers)Protein & Cell (1 paper)Clinical Epigenetics (1 paper)Medicine (1 paper)
- Partner nations
- ChinaMaldivesUnited States
In The Last Decade
Chengyan Jin
25 papers receiving 326 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 112
- Urology 26
- Toxicology 10
- Molecular Biology 176
- Immunology 46
Countries citing papers authored by Chengyan Jin
This map shows the geographic impact of Chengyan 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 Chengyan Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengyan Jin more than expected).
Fields of papers citing papers by Chengyan Jin
This network shows the impact of papers produced by Chengyan 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 Chengyan Jin. The network helps show where Chengyan Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chengyan 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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 45 | |
| 2 | 2017 | 28 | |
| 3 | 2017 | 28 | |
| 4 | 2011 | 24 | |
| 5 | 2021 | 24 | |
| 6 | 2020 | 20 | |
| 7 | 2017 | 18 | |
| 8 | 2019 | 18 | |
| 9 | 2018 | 14 | |
| 10 | 2024 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2013 | 12 | |
| 13 | 2021 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2024 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2012 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2022 | 6 |
About Chengyan Jin
Chengyan Jin is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Urology, having authored 26 papers that have together received 326 indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (5 papers), Cell death mechanisms and regulation (3 papers), Hair Growth and Disorders (3 papers), Cancer-related Molecular Pathways (2 papers), Eosinophilic Esophagitis (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Cancer Research (112 citations), Urology (26 citations), Toxicology (10 citations), Molecular Biology (176 citations) and Immunology (46 citations). Chengyan Jin has collaborated with scholars based in China, Maldives and United States. Frequent co-authors include Peiyan Hua, Xingyi Zhang, Jindong Li, Guangxin Zhang, Guangxin Zhang, Xiaoyang Lv, Wei Sun, Wen Gao, Jin Chai and Lihong Wang. Their work appears in journals such as Scientific Reports, PLoS ONE, Protein & Cell, Clinical Epigenetics and 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.