Mingxia Bi

928 citations
34 papers · 652 · h-index 16

Impact in

Papers in

    • Parkinson's Disease Mechanisms and Treatments 12
    • Neurological diseases and metabolism 4
    • Neurological disorders and treatments 3

Mingxia Bi

31 papers receiving 649 citations

Peers

Mingxia Bi
Comparison fields: 5 of 82
  • Neurology 152
  • Biological Psychiatry 23
  • Neurology 72
  • Nutrition and Dietetics 120
  • Endocrine and Autonomic Systems 42
Replace Bao Wang with:
Bao Wang China
Marcin Gamdzyk United States
Isaac García‐Yébenes Spain
Gurugirijha Rathnasamy Singapore
Deborah Holstein United States
Bing Zhao China
Abhishek Desai United States
Xiaodi Tian China
Alessandro Di Spiezio Germany
Nathanael Matei United States
Mingxia Bi relative to Bao Wang China Bao Wang's profile →
Citations per field
00.5×5.2×
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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020139
2 202149
3 201546
4 202236
5 202035
6 201829
7 202027
8 201426
9 202126
10 202124
11 202223
12 202222
13 202021
14 202018
15 202317
16 201516
17 202212
18 201810
19 20229
20 20248

About Mingxia Bi

Mingxia Bi is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Neurology and Nutrition and Dietetics, having authored 34 papers that have together received 652 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), Nerve injury and regeneration (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Adenosine and Purinergic Signaling (3 papers) and Neurological disorders and treatments (3 papers). The work is most often cited by research in Neurology (152 citations), Biological Psychiatry (23 citations), Neurology (72 citations), Nutrition and Dietetics (120 citations) and Endocrine and Autonomic Systems (42 citations). Mingxia Bi has collaborated with scholars based in China. Frequent co-authors include Xixun Du, Hong Jiang, Qian Jiao, Yong Li, Junxia Xie, Xi Chen, Qiqi Zhao, Ling Chen, Pei Zhang and Ning Song. Their work appears in journals such as Ageing Research Reviews, Scientific Reports, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Redox Biology and ACS Chemical Neuroscience.

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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