Feng Jin
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Demography top 5%
- Retirement, Disability, and Employment
Papers in
-
- Epigenetics and DNA Methylation 7
- RNA modifications and cancer 5
- Cancer-related gene regulation 5
-
- Breast Cancer Treatment Studies 8
- Cancer-related molecular mechanisms research 6
- Co-authors
- Xiaoyun Mao (8 shared papers)Zhen Wang (1 shared paper)Hiroshi Satō (1 shared paper)Ang Zheng (10 shared papers)Minjie Wei (4 shared papers)Ling Wang (1 shared paper)Caigang Liu (6 shared papers)Qin Li (1 shared paper)
- Journals
- Tumor Biology (5 papers)Frontiers in Oncology (4 papers)BMC Cancer (2 papers)Cancer Medicine (2 papers)China Economic Review (2 papers)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Feng Jin
89 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 144
- Cancer Research 225
- Demography 134
- Health 94
- General Health Professions 249
- Oncology 263
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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 106 | |
| 2 | 2020 | 102 | |
| 3 | 2011 | 91 | |
| 4 | 2019 | 74 | |
| 5 | 2019 | 58 | |
| 6 | 2014 | 49 | |
| 7 | 2020 | 43 | |
| 8 | 2020 | 34 | |
| 9 | 2022 | 32 | |
| 10 | 2018 | 31 | |
| 11 | 2019 | 30 | |
| 12 | 2017 | 28 | |
| 13 | 2015 | 26 | |
| 14 | 2013 | 26 | |
| 15 | 2014 | 24 | |
| 16 | 2019 | 23 | |
| 17 | 2018 | 23 | |
| 18 | 2019 | 23 | |
| 19 | 2008 | 22 | |
| 20 | 2011 | 22 |
About Feng Jin
Feng Jin is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Sociology and Political Science, having authored 103 papers that have together received 1.4k indexed citations. Recurring topics across this work include Global Health Care Issues (8 papers), Breast Cancer Treatment Studies (8 papers), Epigenetics and DNA Methylation (7 papers), Intergenerational Family Dynamics and Caregiving (7 papers), Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers), Cancer-related gene regulation (5 papers) and Retirement, Disability, and Employment (5 papers). The work is most often cited by research in Cancer Research (225 citations), Demography (134 citations), Health (94 citations), General Health Professions (249 citations) and Oncology (263 citations). Feng Jin has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Xiaoyun Mao, Zhen Wang, Hiroshi Satō, Ang Zheng, Minjie Wei, Ling Wang, Caigang Liu, Qin Li, James P. Smith and Xinyue Song. Their work appears in journals such as Tumor Biology, Frontiers in Oncology, BMC Cancer, Cancer Medicine and China Economic Review.
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.