Mingxia Bi

928 total citations
34 papers, 652 citations indexed

About

Mingxia Bi is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mingxia Bi has authored 34 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Neurology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mingxia Bi's work include Parkinson's Disease Mechanisms and Treatments (12 papers), Neurological diseases and metabolism (4 papers) and Regulation of Appetite and Obesity (4 papers). Mingxia Bi is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (12 papers), Neurological diseases and metabolism (4 papers) and Regulation of Appetite and Obesity (4 papers). Mingxia Bi collaborates with scholars based in China. Mingxia Bi's co-authors include Xixun Du, Hong Jiang, Qian Jiao, Yong Li, Xi Chen, Junxia Xie, Pei Zhang, Qiqi Zhao, Ling Chen and Ning Song and has published in prestigious journals such as Scientific Reports, Free Radical Biology and Medicine and Cellular and Molecular Life Sciences.

In The Last Decade

Mingxia Bi

31 papers receiving 649 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mingxia Bi China 16 305 152 139 120 112 34 652
Gurugirijha Rathnasamy Singapore 11 294 1.0× 94 0.6× 58 0.4× 41 0.3× 114 1.0× 15 852
Abhishek Desai United States 12 189 0.6× 111 0.7× 26 0.2× 120 1.0× 56 0.5× 21 574
Marcin Gamdzyk United States 14 318 1.0× 101 0.7× 45 0.3× 27 0.2× 78 0.7× 22 696
Isaac García‐Yébenes Spain 12 196 0.6× 74 0.5× 91 0.7× 35 0.3× 106 0.9× 13 695
Bing Zhao China 16 254 0.8× 119 0.8× 45 0.3× 19 0.2× 107 1.0× 41 738
Bao Wang China 15 384 1.3× 269 1.8× 72 0.5× 23 0.2× 150 1.3× 42 977
Pratish Thakore United States 16 265 0.9× 43 0.3× 54 0.4× 81 0.7× 158 1.4× 31 818
Deborah Holstein United States 17 582 1.9× 77 0.5× 32 0.2× 39 0.3× 137 1.2× 25 985
Zifeng Huang China 16 223 0.7× 170 1.1× 129 0.9× 23 0.2× 87 0.8× 33 592
Xiaodi Tian China 11 234 0.8× 237 1.6× 35 0.3× 23 0.2× 37 0.3× 14 613

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-authorship network of co-authors of Mingxia Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Mingxia Bi. A scholar is included among the top collaborators of Mingxia Bi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mingxia Bi. Mingxia Bi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Zhang, Jie, Haojie Huang, Hao Yu Chen, et al.. (2025). Flavonifractor porci sp. nov. and Flintibacter porci sp. nov., two novel butyrate-producing bacteria of the family Oscillospiraceae. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 75(4).
3.
Xiao, Xue, Mingxia Bi, Qian Jiao, et al.. (2024). Modulating α-synuclein propagation and decomposition: Implications in Parkinson's disease therapy. Ageing Research Reviews. 98. 102319–102319. 8 indexed citations
4.
5.
Zhang, Shuwen, Xue Ni, Meng‐Xuan Du, et al.. (2024). Limosilactobacillus reuteri Alleviates Anxiety-like Behavior and Intestinal Symptoms in Two Stressed Mouse Models. Nutrients. 16(18). 3209–3209. 7 indexed citations
6.
Bi, Mingxia, et al.. (2024). Astrocyte-derived apolipoprotein D is required for neuronal survival in Parkinson’s disease. npj Parkinson s Disease. 10(1). 143–143. 4 indexed citations
7.
Xiao, Xue, Mingxia Bi, Chun‐Feng Liu, et al.. (2024). GHSR deficiency exacerbates Parkinson's disease pathology by impairing autophagy. Redox Biology. 76. 103322–103322. 3 indexed citations
8.
Jiang, Yu, Meng‐Xuan Du, Min-Zhi Jiang, et al.. (2023). The human-derived novel gut commensal Luoshenia tenuis regulates body weight and food intake in mice. Food Science and Human Wellness. 13(2). 830–841. 3 indexed citations
9.
Tang, Tingting, Mingxia Bi, Xiaoyi Zhang, et al.. (2023). Quinpirole ameliorates nigral dopaminergic neuron damage in Parkinson’s disease mouse model through activating GHS-R1a/D2R heterodimers. Acta Pharmacologica Sinica. 44(8). 1564–1575. 7 indexed citations
10.
Chen, Ling, Fengju Jia, Zhen Zhang, et al.. (2023). Deubiquitylase OTUD3 Mediates Endoplasmic Reticulum Stress through Regulating Fortilin Stability to Restrain Dopaminergic Neurons Apoptosis. Antioxidants. 12(4). 809–809. 3 indexed citations
11.
Bi, Mingxia, Lijuan Feng, Chang Liu, et al.. (2022). Emerging insights between gut microbiome dysbiosis and Parkinson’s disease: Pathogenic and clinical relevance. Ageing Research Reviews. 82. 101759–101759. 23 indexed citations
12.
Du, Xixun, Xi Chen, Mingxia Bi, et al.. (2022). Correlation of Ferroptosis and Other Types of Cell Death in Neurodegenerative Diseases. Neuroscience Bulletin. 38(8). 938–952. 36 indexed citations
13.
Bi, Mingxia, Xixun Du, Qian Jiao, Xi Chen, & Hong Jiang. (2021). Expanding the role of proteasome homeostasis in Parkinson’s disease: beyond protein breakdown. Cell Death and Disease. 12(2). 154–154. 49 indexed citations
14.
Bi, Mingxia, Xixun Du, Xue Xiao, et al.. (2021). Deficient immunoproteasome assembly drives gain of α-synuclein pathology in Parkinson's disease. Redox Biology. 47. 102167–102167. 26 indexed citations
15.
Jiao, Qian, et al.. (2021). Potential Crosstalk Between Parkinson's Disease and Energy Metabolism. Aging and Disease. 12(8). 2003–2003. 24 indexed citations
16.
Li, Xin, et al.. (2020). The S-nitrosylation of parkin attenuated the ubiquitination of divalent metal transporter 1 in MPP+-treated SH-SY5Y cells. Scientific Reports. 10(1). 15542–15542. 18 indexed citations
17.
Kang, Shan, Mingxia Bi, Xixun Du, Qian Jiao, & Hong Jiang. (2018). Association of the rs1611115 polymorphism in DBH gene with Parkinson’s disease: a meta-analysis. Neurological Sciences. 39(12). 2085–2089. 5 indexed citations
18.
Jiao, Qian, et al.. (2018). The expression of KATP channel subunits in alpha-synuclein-transfected MES23.5 cells. Annals of Translational Medicine. 6(10). 170–170. 5 indexed citations
19.
Wang, Jun, Mingxia Bi, Huiying Liu, Ning Song, & Junxia Xie. (2015). The protective effect of lactoferrin on ventral mesencephalon neurons against MPP+ is not connected with its iron binding ability. Scientific Reports. 5(1). 10729–10729. 46 indexed citations
20.
Zhang, Haoyun, Ning Song, Hong Jiang, Mingxia Bi, & Junxia Xie. (2014). Brain-derived neurotrophic factor and glial cell line-derived neurotrophic factor inhibit ferrous iron influx via divalent metal transporter 1 and iron regulatory protein 1 regulation in ventral mesencephalic neurons. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1843(12). 2967–2975. 26 indexed citations

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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