Xin Jin
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 2%
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- Inflammasome and immune disorders
- Circular RNAs in diseases
Papers in
-
- Epigenetics and DNA Methylation 21
- RNA modifications and cancer 21
- Ubiquitin and proteasome pathways 19
- Protein Degradation and Inhibitors 13
- Oncology 55
- Pancreatic and Hepatic Oncology Research 13
- Co-authors
- Heshui Wu (34 shared papers)Dianyun Ren (20 shared papers)Haojie Huang (12 shared papers)Ping Fan (15 shared papers)Jingyuan Zhao (15 shared papers)Jin Hao (7 shared papers)Liguo Wang (6 shared papers)Zibo Meng (10 shared papers)
- Journals
- Journal of Experimental & Clinical Cancer Research (9 papers)Cancer Research (7 papers)Cell Death and Disease (6 papers)PLoS ONE (5 papers)Aging (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xin Jin
286 papers receiving 6.6k citations
Xin Jin's Hit Papers
Peers
Comparison fields: 5 of 148
- Cancer Research 1.2k
- Molecular Biology 3.4k
- Oncology 1.2k
- Physiology 182
- Immunology 766
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-authors
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
Showing the 20 most-cited of 296 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 230 | |
| 2 | 2018 | 199 | |
| 3 | 1997 | 193 | |
| 4 | 2018 | 125 | |
| 5 | 2021 | 108 | |
| 6 | 2017 | 103 | |
| 7 | 2022 | 99 | |
| 8 | 2017 | 96 | |
| 9 | 2022 | 88 | |
| 10 | 2021 | 88 | |
| 11 | 2014 | 86 | |
| 12 | 2019 | 86 | |
| 13 | 2017 | 86 | |
| 14 | 2017 | 82 | |
| 15 | 2017 | 82 | |
| 16 | 2017 | 80 | |
| 17 | 2017 | 78 | |
| 18 | 2019 | 75 | |
| 19 | 2017 | 70 | |
| 20 | 2012 | 69 |
About Xin Jin
Xin Jin is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Immunology, having authored 296 papers that have together received 6.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (21 papers), RNA modifications and cancer (21 papers), Ubiquitin and proteasome pathways (19 papers), Cancer-related molecular mechanisms research (14 papers), Ferroptosis and cancer prognosis (14 papers), Cancer, Hypoxia, and Metabolism (14 papers), Pancreatic and Hepatic Oncology Research (13 papers) and Protein Degradation and Inhibitors (13 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (3.4k citations), Oncology (1.2k citations), Physiology (182 citations) and Immunology (766 citations). Xin Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Heshui Wu, Dianyun Ren, Haojie Huang, Ping Fan, Jingyuan Zhao, Jin Hao, Liguo Wang, Zibo Meng, Yunqian Pan and Yan Sun. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, Cancer Research, Cell Death and Disease, PLoS ONE and Aging.
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.