Mingxia Bi

963 citations
35 papers · 686 · h-index 16

Impact in

Papers in

    • Gut microbiota and health 3
    • Parkinson's Disease Mechanisms and Treatments 12
    • Neurological diseases and metabolism 4

Mingxia Bi

33 papers receiving 683 citations

Peers

Mingxia Bi
Comparison fields: 5 of 82
  • Neurology 143
  • Biological Psychiatry 19
  • Neurology 65
  • Nutrition and Dietetics 108
  • Endocrine and Autonomic Systems 39
Replace Bao Wang with:
Bao Wang China
Marcin Gamdzyk United States
Eva Santos-Nogueira Spain
Jinning Song China
Chuanming Luo China
Isaac García‐Yébenes Spain
Bing Zhao China
Núria DeGregorio‐Rocasolano Spain
Xiaodi Tian China
Houguang Zhou China
Mingxia Bi relative to Bao Wang China Bao Wang's profile →
Citations per field
00.5×4.9×
Bao Wang · 1×
Citations per year

Countries citing papers authored by Mingxia Bi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mingxia Bi Line = papers co-authored together Mingxia Bi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020140
2 202154
3 201547
4 202238
5 202035
6 201829
7 201427
8 202027
9 202127
10 202225
11 202125
12 202224
13 202023
14 202321
15 202018
16 201517
17 202214
18 202110
19 201810
20 20229

About Mingxia Bi

Mingxia Bi is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Nutrition and Dietetics and Neurology, having authored 35 papers that have together received 686 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (12 papers), Nuclear Receptors and Signaling (4 papers), Neurological diseases and metabolism (4 papers), Regulation of Appetite and Obesity (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Adenosine and Purinergic Signaling (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Neurology (143 citations), Biological Psychiatry (19 citations), Neurology (65 citations), Nutrition and Dietetics (108 citations) and Endocrine and Autonomic Systems (39 citations). Mingxia Bi has collaborated with scholars based in China. Frequent co-authors include Hong Jiang, Xixun Du, Qian Jiao, Yong Li, Xi Chen, Junxia Xie, Pei Zhang, Ling Chen, Qiqi Zhao and Ning Song. Their work appears in journals such as Ageing Research Reviews, Redox Biology, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Scientific Reports and Food Science and Human Wellness.

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.

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