Xin Jin
- Cancer Research top 0.2%
- Cancer-related molecular mechanisms research 23
- MicroRNA in disease regulation 16
- Physiology top 0.2%
- Epidemiology top 0.1%
- Autophagy in Disease and Therapy 22
- Geriatrics and Gerontology top 0.5%
- Aging top 1%
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- RNA modifications and cancer 20
- Circular RNAs in diseases 14
- Epigenetics and DNA Methylation 9
- RNA Research and Splicing 9
- Cancer-related gene regulation 7
- Co-authors
- Arnold J. LevineEileen WhiteRobin MathewChingwen YangNathaniel HeintzZhenyu YueZhaohui FengHaiyan Zhang
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xin Jin
98 papers receiving 14.0k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Cancer Research 4.1k
- Physiology 881
- Epidemiology 6.4k
- Geriatrics and Gerontology 593
- Aging 222
Countries citing papers authored by Xin Jin
This map shows the geographic impact of Xin 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 Xin Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Jin more than expected).
Fields of papers citing papers by Xin Jin
This network shows the impact of papers produced by Xin 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 Xin Jin. The network helps show where Xin Jin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xin 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 4 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 8 | |
| 8 | 2022 | 4 | |
| 9 | 2020 | 24 | |
| 10 | 2018 | 246 | |
| 11 | 2016 | 31 | |
| 12 | 2015 | 124 | |
| 13 | 2015 | 117 | |
| 14 | 2014 | 261 | |
| 15 | Serpins Promote Cancer Cell Survival and Vascular Co-Option in Brain Metastasisbreakdown → | 2014 | 601 |
| 16 | Adipose-specific deletion of autophagy-related gene 7 ( atg7 ) in mice reveals a role in adipogenesisbreakdown → | 2009 | 527 |
| 17 | 2008 | 98 | |
| 18 | Autophagy mitigates metabolic stress and genome damage in mammary tumorigenesisbreakdown → | 2007 | 703 |
| 19 | 2006 | 236 | |
| 20 | Beclin 1, an autophagy gene essential for early embryonic development, is a haploinsufficient tumor suppressorbreakdown → | 2003 | 1747 |
About Xin Jin
Xin Jin is a scholar working on Cancer Research, Molecular Biology, Oncology, Epidemiology and Physiology, having authored 113 papers that have together received 14.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (23 papers), Autophagy in Disease and Therapy (22 papers), RNA modifications and cancer (20 papers), MicroRNA in disease regulation (16 papers), Circular RNAs in diseases (14 papers), Epigenetics and DNA Methylation (9 papers), RNA Research and Splicing (9 papers) and Cancer-related gene regulation (7 papers). The work is most often cited by research in Cancer Research (4.1k citations), Physiology (881 citations), Epidemiology (6.4k citations), Geriatrics and Gerontology (593 citations) and Aging (222 citations). Xin Jin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Arnold J. Levine, Eileen White, Robin Mathew, Chingwen Yang, Nathaniel Heintz, Zhenyu Yue, Zhaohui Feng, Haiyan Zhang, Kevin Bray and Guanghua Chen. Their work appears in journals such as Autophagy, Genes & Development, Clinical Cancer Research, Tumor Biology and Biochemical and Biophysical Research Communications.
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.