Jiang Jin
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA Interference and Gene Delivery
- RNA modifications and cancer
- Advanced biosensing and bioanalysis techniques
- Ubiquitin and proteasome pathways
- RNA Research and Splicing
Papers in
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- Circular RNAs in diseases 3
- Advanced biosensing and bioanalysis techniques 2
- CRISPR and Genetic Engineering 2
- Heat shock proteins research 2
- FOXO transcription factor regulation 2
- RNA and protein synthesis mechanisms 2
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- MicroRNA in disease regulation 4
- Co-authors
- Daiming Fan (7 shared papers)Shanhong Tang (5 shared papers)Kaichun Wu (5 shared papers)Yongzhan Nie (4 shared papers)Yongquan Shi (4 shared papers)Rui Du (4 shared papers)Qian Bi (4 shared papers)Zheng Chen (3 shared papers)
In The Last Decade
Jiang Jin
17 papers receiving 691 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 409
- Molecular Biology 565
- Aging 6
- Oncology 80
- Epidemiology 78
Countries citing papers authored by Jiang Jin
This map shows the geographic impact of Jiang 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 Jiang Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiang Jin more than expected).
Fields of papers citing papers by Jiang Jin
This network shows the impact of papers produced by Jiang 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 Jiang Jin. The network helps show where Jiang Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiang 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 | 2012 | 164 | |
| 2 | 2011 | 120 | |
| 3 | 2012 | 71 | |
| 4 | 2015 | 53 | |
| 5 | 2014 | 52 | |
| 6 | 2010 | 49 | |
| 7 | 2010 | 45 | |
| 8 | 2016 | 41 | |
| 9 | 2016 | 33 | |
| 10 | 2015 | 22 | |
| 11 | 2016 | 18 | |
| 12 | 2020 | 9 | |
| 13 | 2022 | 7 | |
| 14 | 2018 | 5 | |
| 15 | 2021 | 3 | |
| 16 | 2018 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2025 | 0 |
About Jiang Jin
Jiang Jin is a scholar working on Molecular Biology, Cancer Research, Oncology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 18 papers that have together received 694 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Pregnancy and preeclampsia studies (2 papers), CRISPR and Genetic Engineering (2 papers), Heat shock proteins research (2 papers), FOXO transcription factor regulation (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Cancer Research (409 citations), Molecular Biology (565 citations), Aging (6 citations), Oncology (80 citations) and Epidemiology (78 citations). Jiang Jin has collaborated with scholars based in China, Fiji and Japan. Frequent co-authors include Daiming Fan, Shanhong Tang, Kaichun Wu, Yongzhan Nie, Yongquan Shi, Rui Du, Qian Bi, Zheng Chen, Rui Fan and Liucun Gao. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications, Clinical Endocrinology, Cancer Biology & Therapy and Cancer Letters.
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.