Feng Jin
Impact in
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine
- Pharmacology top 1%
- Microbial Natural Products and Biosynthesis
- Fungal Biology and Applications
Papers in
-
- Fungal and yeast genetics research 16
- RNA Research and Splicing 5
-
- Mycotoxins in Agriculture and Food 4
- Plant Molecular Biology Research 4
- Co-authors
- Jingshan Shi (16 shared papers)Hai Jin (10 shared papers)Nanqu Huang (8 shared papers)Qihai Gong (4 shared papers)Katsuhiko Kitamoto (9 shared papers)Qin Wu (4 shared papers)Shaoyu Zhou (6 shared papers)Yuan‐Fu Lu (2 shared papers)
- Journals
- Behavioural Brain Research (4 papers)Eukaryotic Cell (3 papers)Anthropological Science (3 papers)Fungal Genetics and Biology (3 papers)Biochemical Genetics (3 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Feng Jin
83 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 121
- Geriatrics and Gerontology 176
- Pharmacology 532
- Neurology 188
- Biological Psychiatry 43
- Pharmacology 159
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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 315 | |
| 2 | 2017 | 240 | |
| 3 | 2004 | 185 | |
| 4 | 2014 | 113 | |
| 5 | 2016 | 102 | |
| 6 | 2020 | 72 | |
| 7 | 2011 | 65 | |
| 8 | 2007 | 63 | |
| 9 | 2009 | 63 | |
| 10 | 2004 | 61 | |
| 11 | 2013 | 61 | |
| 12 | 2014 | 54 | |
| 13 | 2020 | 53 | |
| 14 | 2011 | 53 | |
| 15 | 2019 | 53 | |
| 16 | 2012 | 50 | |
| 17 | 2009 | 48 | |
| 18 | 2014 | 42 | |
| 19 | 2012 | 38 | |
| 20 | 2016 | 35 |
About Feng Jin
Feng Jin is a scholar working on Molecular Biology, Plant Science, Pharmacology, Cell Biology and Pharmacology, having authored 84 papers that have together received 2.6k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (16 papers), Medicinal Plant Pharmacodynamics Research (5 papers), RNA Research and Splicing (5 papers), Fungal Biology and Applications (5 papers), Biofuel production and bioconversion (5 papers), Mycotoxins in Agriculture and Food (4 papers), Plant Molecular Biology Research (4 papers) and Plant Pathogens and Fungal Diseases (4 papers). The work is most often cited by research in Geriatrics and Gerontology (176 citations), Pharmacology (532 citations), Neurology (188 citations), Biological Psychiatry (43 citations) and Pharmacology (159 citations). Feng Jin has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Jingshan Shi, Hai Jin, Nanqu Huang, Qihai Gong, Katsuhiko Kitamoto, Qin Wu, Shaoyu Zhou, Yuan‐Fu Lu, Praveen R. Juvvadi and Manabu Arioka. Their work appears in journals such as Behavioural Brain Research, Eukaryotic Cell, Anthropological Science, Fungal Genetics and Biology and Biochemical Genetics.
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.