Fei Jing
Impact in
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- Solar-Powered Water Purification Methods
- Advanced Photocatalysis Techniques
Papers in
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- Metabolism, Diabetes, and Cancer 5
- Receptor Mechanisms and Signaling 4
- Epidemiology 15
- Liver Disease Diagnosis and Treatment 6
- Co-authors
- Masatsugu Horiuchi (17 shared papers)Masaki Mogi (17 shared papers)Jun Iwanami (16 shared papers)Kana Tsukuda (16 shared papers)Li‐Juan Min (15 shared papers)Jiajun Zhao (9 shared papers)Shaohong Zang (7 shared papers)Kousei Ohshima (11 shared papers)
- Journals
- PLoS ONE (8 papers)Journal of the American Society of Hypertension (3 papers)Hypertension (3 papers)Scientific Reports (2 papers)Clinical Epigenetics (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Fei Jing
120 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 145
- Renewable Energy, Sustainability and the Environment 354
- Endocrinology, Diabetes and Metabolism 317
- Neurology 124
- Cardiology and Cardiovascular Medicine 255
- Cancer Research 160
Countries citing papers authored by Fei Jing
This map shows the geographic impact of Fei Jing'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 Fei Jing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Jing more than expected).
Fields of papers citing papers by Fei Jing
This network shows the impact of papers produced by Fei Jing. 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 Fei Jing. The network helps show where Fei Jing may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Jing, 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 249 | |
| 2 | 2009 | 161 | |
| 3 | 2020 | 148 | |
| 4 | 2010 | 138 | |
| 5 | 2020 | 122 | |
| 6 | 2014 | 118 | |
| 7 | 2012 | 90 | |
| 8 | 2022 | 83 | |
| 9 | 2019 | 73 | |
| 10 | 2006 | 72 | |
| 11 | 2005 | 70 | |
| 12 | 2007 | 66 | |
| 13 | 2011 | 64 | |
| 14 | 2015 | 63 | |
| 15 | 2014 | 62 | |
| 16 | 2012 | 60 | |
| 17 | 2015 | 57 | |
| 18 | 2014 | 57 | |
| 19 | 2011 | 50 | |
| 20 | 2015 | 49 |
About Fei Jing
Fei Jing is a scholar working on Molecular Biology, Epidemiology, Materials Chemistry, Surgery and Oncology, having authored 125 papers that have together received 3.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Geotechnical Engineering and Soil Stabilization (6 papers), Advanced Photocatalysis Techniques (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Receptor Mechanisms and Signaling (4 papers), Adipose Tissue and Metabolism (4 papers), Animal Genetics and Reproduction (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (354 citations), Endocrinology, Diabetes and Metabolism (317 citations), Neurology (124 citations), Cardiology and Cardiovascular Medicine (255 citations) and Cancer Research (160 citations). Fei Jing has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Masatsugu Horiuchi, Masaki Mogi, Jun Iwanami, Kana Tsukuda, Li‐Juan Min, Jiajun Zhao, Shaohong Zang, Kousei Ohshima, Jie Gao and Chenghua Li. Their work appears in journals such as PLoS ONE, Journal of the American Society of Hypertension, Hypertension, Scientific Reports and Clinical Epigenetics.
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.