Feng Jin
Impact in
- Aging top 5%
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 3
-
- Advanced SAR Imaging Techniques 10
- Synthetic Aperture Radar (SAR) Applications and Techniques 7
- Radar Systems and Signal Processing 5
- Co-authors
- Joseph D. Fondell (3 shared papers)Qi Dai (2 shared papers)Adrian A. Franke (1 shared paper)Wanqing Wen (1 shared paper)Xiaocui Li (2 shared papers)Wei Zheng (1 shared paper)Fu‐Ju Tian (2 shared papers)X-O Shu (1 shared paper)
- Journals
- Oncotarget (3 papers)IEEE Geoscience and Remote Sensing Letters (2 papers)Journal of Clinical Investigation (2 papers)Cancer (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Feng Jin
52 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 114
- Aging 40
- Cancer Research 240
- Sensory Systems 68
- Pathology and Forensic Medicine 200
- Molecular Biology 675
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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Urinary excretion of isoflavonoids and the risk of breast cancer. | 1999 | 174 |
| 2 | 2019 | 145 | |
| 3 | 2014 | 126 | |
| 4 | 2017 | 65 | |
| 5 | 2014 | 49 | |
| 6 | 2011 | 45 | |
| 7 | 2022 | 44 | |
| 8 | 2017 | 43 | |
| 9 | 2023 | 41 | |
| 10 | 2017 | 41 | |
| 11 | 2011 | 41 | |
| 12 | 2009 | 38 | |
| 13 | 2014 | 36 | |
| 14 | 2021 | 31 | |
| 15 | 2013 | 30 | |
| 16 | 2014 | 29 | |
| 17 | 2011 | 26 | |
| 18 | 2023 | 20 | |
| 19 | 2014 | 20 | |
| 20 | 2015 | 18 |
About Feng Jin
Feng Jin is a scholar working on Molecular Biology, Aerospace Engineering, Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (10 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (7 papers), Radar Systems and Signal Processing (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Microwave Imaging and Scattering Analysis (4 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers) and Prostate Cancer Treatment and Research (3 papers). The work is most often cited by research in Aging (40 citations), Cancer Research (240 citations), Sensory Systems (68 citations), Pathology and Forensic Medicine (200 citations) and Molecular Biology (675 citations). Feng Jin has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Joseph D. Fondell, Qi Dai, Adrian A. Franke, Wanqing Wen, Xiaocui Li, Wei Zheng, Fu‐Ju Tian, X-O Shu, Laurie J. Custer and Wei Hong. Their work appears in journals such as Oncotarget, IEEE Geoscience and Remote Sensing Letters, Journal of Clinical Investigation, Cancer and Nature 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.