Feng Jin
Impact in
- Epidemiology top 1%
- Autophagy in Disease and Therapy
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Epigenetics and DNA Methylation 10
- RNA modifications and cancer 8
- Cancer-related gene regulation 7
- DNA Repair Mechanisms 6
- Oncology 41
- Cancer Cells and Metastasis 11
- Cancer Immunotherapy and Biomarkers 7
- Co-authors
- Xiaohua Jiang (2 shared papers)Richard C. Wang (2 shared papers)Ying Cui (2 shared papers)Pei Jiang (2 shared papers)Ran Li (2 shared papers)Yanxia Tian (2 shared papers)Junling Gao (2 shared papers)Changmeng Cui (1 shared paper)
- Journals
- Medical Oncology (5 papers)OncoTargets and Therapy (5 papers)Oncotarget (5 papers)International Immunopharmacology (4 papers)Molecular Carcinogenesis (4 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Feng Jin
158 papers receiving 6.5k citations
Feng Jin's Hit Papers
Peers
Comparison fields: 5 of 166
- Epidemiology 2.1k
- Cancer Research 828
- Physiology 257
- Cell Biology 725
- Molecular Biology 2.7k
Countries citing papers authored by Feng Jin
This map shows the geographic impact of Feng 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 Feng Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Jin more than expected).
Fields of papers citing papers by Feng Jin
This network shows the impact of papers produced by Feng 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 Feng Jin. The network helps show where Feng Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng 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 162 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Induction of the Vitamin D Receptor Attenuates Autophagy Dysfunction-Mediated Cell Death Following Traumatic Brain Injury. Hit paper breakdown → | 2017 | 3376 |
| 2 | 2004 | 111 | |
| 3 | 2019 | 99 | |
| 4 | 2014 | 98 | |
| 5 | 1997 | 95 | |
| 6 | 2002 | 87 | |
| 7 | 2015 | 79 | |
| 8 | 2018 | 77 | |
| 9 | 2011 | 74 | |
| 10 | 2020 | 73 | |
| 11 | 2022 | 71 | |
| 12 | 2009 | 71 | |
| 13 | 2015 | 68 | |
| 14 | 2009 | 68 | |
| 15 | 2003 | 60 | |
| 16 | 2014 | 56 | |
| 17 | 2014 | 51 | |
| 18 | 2015 | 49 | |
| 19 | 2018 | 48 | |
| 20 | 2020 | 48 |
About Feng Jin
Feng Jin is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Immunology, having authored 162 papers that have together received 6.6k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (11 papers), Breast Cancer Treatment Studies (10 papers), Epigenetics and DNA Methylation (10 papers), RNA modifications and cancer (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), Cancer-related gene regulation (7 papers), Forensic and Genetic Research (7 papers) and DNA Repair Mechanisms (6 papers). The work is most often cited by research in Epidemiology (2.1k citations), Cancer Research (828 citations), Physiology (257 citations), Cell Biology (725 citations) and Molecular Biology (2.7k citations). Feng Jin has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaohua Jiang, Richard C. Wang, Ying Cui, Pei Jiang, Ran Li, Yanxia Tian, Junling Gao, Changmeng Cui, Minjie Wei and Shu Guan. Their work appears in journals such as Medical Oncology, OncoTargets and Therapy, Oncotarget, International Immunopharmacology and Molecular Carcinogenesis.
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.