Feng Jin
Impact in
- Pharmacology top 2%
- Phytochemistry and Bioactivity Studies
- Pharmacological Effects of Natural Compounds
-
- Natural Compounds in Disease Treatment
Papers in
-
- Natural product bioactivities and synthesis 6
- RNA Interference and Gene Delivery 3
- Rheumatology 12
- Moyamoya disease diagnosis and treatment 12
- Co-authors
- Lei Zhao (14 shared papers)Junyan Tao (6 shared papers)Ji-Hua Dong (6 shared papers)Yuan-Jin Guo (7 shared papers)Ran Pang (5 shared papers)Shuling Zhang (4 shared papers)Pian Ye (4 shared papers)Hak Sung Kim (6 shared papers)
- Journals
- Archives of Pharmacal Research (3 papers)European Radiology (3 papers)Evidence-based Complementary and Alternative Medicine (2 papers)Biomedicine & Pharmacotherapy (2 papers)Oncology Reports (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Feng Jin
71 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 119
- Pharmacology 221
- Complementary and alternative medicine 105
- Toxicology 40
- Cancer Research 117
- Rheumatology 107
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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 106 | |
| 2 | 2013 | 80 | |
| 3 | 2019 | 62 | |
| 4 | 2009 | 56 | |
| 5 | 2007 | 45 | |
| 6 | 2010 | 44 | |
| 7 | 2017 | 43 | |
| 8 | 2007 | 43 | |
| 9 | 2009 | 40 | |
| 10 | 2017 | 37 | |
| 11 | 2021 | 36 | |
| 12 | 2017 | 36 | |
| 13 | 2015 | 33 | |
| 14 | 2007 | 29 | |
| 15 | 2018 | 27 | |
| 16 | 2008 | 26 | |
| 17 | 2019 | 25 | |
| 18 | 2010 | 25 | |
| 19 | 2019 | 22 | |
| 20 | 2016 | 21 |
About Feng Jin
Feng Jin is a scholar working on Molecular Biology, Rheumatology, Oncology, Complementary and alternative medicine and Pharmacology, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include Moyamoya disease diagnosis and treatment (12 papers), Cancer Cells and Metastasis (7 papers), Natural Compounds in Disease Treatment (7 papers), Natural product bioactivities and synthesis (6 papers), Phytochemistry and Bioactivity Studies (5 papers), Neurological Complications and Syndromes (5 papers), MicroRNA in disease regulation (5 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Pharmacology (221 citations), Complementary and alternative medicine (105 citations), Toxicology (40 citations), Cancer Research (117 citations) and Rheumatology (107 citations). Feng Jin has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Lei Zhao, Junyan Tao, Ji-Hua Dong, Yuan-Jin Guo, Ran Pang, Shuling Zhang, Pian Ye, Hak Sung Kim, Changmeng Cui and Haibo Wang. Their work appears in journals such as Archives of Pharmacal Research, European Radiology, Evidence-based Complementary and Alternative Medicine, Biomedicine & Pharmacotherapy and Oncology Reports.
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.