Fei Jing
Impact in
-
- Solar-Powered Water Purification Methods
- Advanced Photocatalysis Techniques
Papers in
- Immunology 13
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 4
- Co-authors
- Masatsugu Horiuchi (17 shared papers)Masaki Mogi (17 shared papers)Kana Tsukuda (16 shared papers)Jun Iwanami (16 shared papers)Li‐Juan Min (15 shared papers)Jiajun Zhao (10 shared papers)Kousei Ohshima (11 shared papers)Shaohong Zang (7 shared papers)
- Journals
- PLoS ONE (8 papers)Hypertension (3 papers)Journal of the American Society of Hypertension (3 papers)Alzheimer s & Dementia (2 papers)International Immunopharmacology (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Fei Jing
127 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 149
- Endocrinology, Diabetes and Metabolism 356
- Renewable Energy, Sustainability and the Environment 358
- Immunology 325
- Neurology 124
- Cardiology and Cardiovascular Medicine 285
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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 291 | |
| 2 | 2006 | 260 | |
| 3 | 2009 | 173 | |
| 4 | 2020 | 149 | |
| 5 | 2010 | 145 | |
| 6 | 2014 | 128 | |
| 7 | 2020 | 126 | |
| 8 | 2012 | 93 | |
| 9 | 2022 | 85 | |
| 10 | 2007 | 79 | |
| 11 | 2005 | 76 | |
| 12 | 2006 | 76 | |
| 13 | 2019 | 76 | |
| 14 | 2012 | 66 | |
| 15 | 2011 | 65 | |
| 16 | 2014 | 64 | |
| 17 | 2015 | 64 | |
| 18 | 2014 | 60 | |
| 19 | 2015 | 58 | |
| 20 | 2015 | 54 |
About Fei Jing
Fei Jing is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology, Epidemiology, Molecular Biology and Oncology, having authored 130 papers that have together received 3.6k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (6 papers), Geotechnical Engineering and Soil Stabilization (6 papers), Liver Disease Diagnosis and Treatment (6 papers), T-cell and B-cell Immunology (5 papers), Advanced Photocatalysis Techniques (5 papers), Ovarian cancer diagnosis and treatment (4 papers), Immune Cell Function and Interaction (4 papers) and Renin-Angiotensin System Studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (356 citations), Renewable Energy, Sustainability and the Environment (358 citations), Immunology (325 citations), Neurology (124 citations) and Cardiology and Cardiovascular Medicine (285 citations). Fei Jing has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Masatsugu Horiuchi, Masaki Mogi, Kana Tsukuda, Jun Iwanami, Li‐Juan Min, Jiajun Zhao, Kousei Ohshima, Shaohong Zang, Gongying Wang and Z JIANG. Their work appears in journals such as PLoS ONE, Hypertension, Journal of the American Society of Hypertension, Alzheimer s & Dementia and International Immunopharmacology.
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.