Mingxia Bi
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
Papers in
- Neurology 12
- Parkinson's Disease Mechanisms and Treatments 12
- Neurological diseases and metabolism 4
-
- Nuclear Receptors and Signaling 4
- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Hong Fu Jiang (23 shared papers)Xixun Du (26 shared papers)Qian Jiao (24 shared papers)Xi Chen (8 shared papers)Yong Hui Li (3 shared papers)Junxia Xie (4 shared papers)Pei Zhang (1 shared paper)Qiqi Zhao (1 shared paper)
- Journals
- Ageing Research Reviews (6 papers)INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (2 papers)Redox Biology (2 papers)Scientific Reports (2 papers)Free Radical Biology and Medicine (1 paper)
- Partner nations
- China
In The Last Decade
Mingxia Bi
35 papers receiving 755 citations
Peers
Comparison fields: 5 of 86
- Neurology 152
- Biological Psychiatry 22
- Neurology 72
- Nutrition and Dietetics 110
- Endocrine and Autonomic Systems 39
Countries citing papers authored by Mingxia Bi
This map shows the geographic impact of Mingxia Bi'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 Mingxia Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingxia Bi more than expected).
Fields of papers citing papers by Mingxia Bi
This network shows the impact of papers produced by Mingxia Bi. 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 Mingxia Bi. The network helps show where Mingxia Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingxia Bi, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 147 | |
| 2 | 2021 | 61 | |
| 3 | 2015 | 48 | |
| 4 | 2022 | 41 | |
| 5 | 2020 | 38 | |
| 6 | 2022 | 31 | |
| 7 | 2018 | 30 | |
| 8 | 2014 | 29 | |
| 9 | 2022 | 29 | |
| 10 | 2021 | 27 | |
| 11 | 2020 | 27 | |
| 12 | 2021 | 26 | |
| 13 | 2023 | 24 | |
| 14 | 2020 | 23 | |
| 15 | 2020 | 21 | |
| 16 | 2015 | 19 | |
| 17 | 2024 | 18 | |
| 18 | 2022 | 16 | |
| 19 | 2018 | 11 | |
| 20 | 2024 | 10 |
About Mingxia Bi
Mingxia Bi is a scholar working on Neurology, Cellular and Molecular Neuroscience, Neurology, Nutrition and Dietetics and Endocrine and Autonomic Systems, having authored 37 papers that have together received 765 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (12 papers), Neurological diseases and metabolism (4 papers), Nuclear Receptors and Signaling (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Regulation of Appetite and Obesity (4 papers), Gut microbiota and health (4 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Neurology (152 citations), Biological Psychiatry (22 citations), Neurology (72 citations), Nutrition and Dietetics (110 citations) and Endocrine and Autonomic Systems (39 citations). Mingxia Bi has collaborated with scholars based in China. Frequent co-authors include Hong Fu Jiang, Xixun Du, Qian Jiao, Xi Chen, Yong Hui Li, Junxia Xie, Pei Zhang, Qiqi Zhao, Ling Chen and Xue Xiao. Their work appears in journals such as Ageing Research Reviews, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Redox Biology, Scientific Reports and Free Radical Biology and Medicine.
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.