Min Bai

56 total papers · 560 total citations
27 papers, 361 citations indexed

About

Min Bai is a scholar working on Molecular Biology, Neurology and Pharmacology. According to data from OpenAlex, Min Bai has authored 27 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Neurology and 5 papers in Pharmacology. Recurrent topics in Min Bai's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neurological Disease Mechanisms and Treatments (5 papers) and Bone Metabolism and Diseases (3 papers). Min Bai is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neurological Disease Mechanisms and Treatments (5 papers) and Bone Metabolism and Diseases (3 papers). Min Bai collaborates with scholars based in China, United States and India. Min Bai's co-authors include Yi Ding, Jingwen Wang, Chao Guo, Chun‐Liang Pan, Qiongyi Pang, Guo‐Xin Jiang, Kaibin Huang, Zhong Ji, Aidong Wen and Youmin Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Min Bai

21 papers receiving 358 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Min Bai 120 74 64 43 39 27 361
Hsun‐Hua Lee 146 1.2× 46 0.6× 29 0.5× 54 1.3× 28 0.7× 34 317
Joanna Bielewicz 97 0.8× 116 1.6× 42 0.7× 85 2.0× 51 1.3× 21 377
Young Sam Cho 66 0.6× 36 0.5× 59 0.9× 35 0.8× 27 0.7× 37 365
Ayça Özkul 58 0.5× 79 1.1× 61 1.0× 71 1.7× 76 1.9× 37 370
Beibei Dong 131 1.1× 92 1.2× 69 1.1× 69 1.6× 20 0.5× 29 372
Dujuan Sha 140 1.2× 72 1.0× 32 0.5× 44 1.0× 18 0.5× 28 381
Rui Yang 129 1.1× 45 0.6× 34 0.5× 41 1.0× 13 0.3× 20 364
Henry Davies 76 0.6× 63 0.9× 39 0.6× 49 1.1× 21 0.5× 29 354
Hafiz Khuram Raza 127 1.1× 59 0.8× 35 0.5× 24 0.6× 102 2.6× 34 354
Yanfeng Wang 112 0.9× 77 1.0× 99 1.5× 52 1.2× 15 0.4× 19 391

Countries citing papers authored by Min Bai

Since Specialization
Citations

This map shows the geographic impact of Min Bai'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 Min Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Bai more than expected).

Fields of papers citing papers by Min Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Bai. 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 Min Bai. The network helps show where Min Bai may publish in the future.

Co-authorship network of co-authors of Min Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Min Bai. A scholar is included among the top collaborators of Min Bai 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 Min Bai. Min Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026