Minglei Bian

22 total papers · 925 total citations
7 papers, 721 citations indexed

About

Minglei Bian is a scholar working on Cell Biology, Molecular Biology and Oncology. According to data from OpenAlex, Minglei Bian has authored 7 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 5 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Minglei Bian's work include Microtubule and mitosis dynamics (6 papers), Cancer-related Molecular Pathways (2 papers) and Protist diversity and phylogeny (2 papers). Minglei Bian is often cited by papers focused on Microtubule and mitosis dynamics (6 papers), Cancer-related Molecular Pathways (2 papers) and Protist diversity and phylogeny (2 papers). Minglei Bian collaborates with scholars based in China, United States and United Kingdom. Minglei Bian's co-authors include Chuanmao Zhang, Jingyan Fu, Qing Jiang, Qing Jiang, Junjun Liu, Wenxiang Fu, Paul R. Clarke, Wei Tao, Xiao Guo and Jia Luo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Journal of Cell Science.

In The Last Decade

Minglei Bian

7 papers receiving 710 citations

Author Peers

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

Author Last Decade Papers Cites
Minglei Bian 510 495 297 90 67 7 721
Sue Penrhyn-Lowe 518 1.0× 429 0.9× 281 0.9× 111 1.2× 63 0.9× 8 892
Ulrich Gürtler 571 1.1× 474 1.0× 296 1.0× 54 0.6× 32 0.5× 10 777
Olivier Lohez 625 1.2× 554 1.1× 411 1.4× 115 1.3× 73 1.1× 11 890
Wei-meng Zhao 675 1.3× 485 1.0× 153 0.5× 62 0.7× 64 1.0× 9 866
Peter V. E. van den Berghe 363 0.7× 222 0.4× 283 1.0× 75 0.8× 50 0.7× 8 875
Richard A. Woo 674 1.3× 166 0.3× 455 1.5× 152 1.7× 22 0.3× 11 892
Wytse Bruinsma 515 1.0× 311 0.6× 212 0.7× 79 0.9× 49 0.7× 9 638
Shin-ichi Iida 511 1.0× 264 0.5× 149 0.5× 82 0.9× 65 1.0× 9 777
Guermarie Velázquez-Torres 505 1.0× 192 0.4× 302 1.0× 182 2.0× 20 0.3× 14 706
María Sol Degese 580 1.1× 318 0.6× 185 0.6× 86 1.0× 20 0.3× 8 887

Countries citing papers authored by Minglei Bian

Since Specialization
Citations

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

Fields of papers citing papers by Minglei Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minglei Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Minglei Bian. A scholar is included among the top collaborators of Minglei Bian 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 Minglei Bian. Minglei Bian 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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