Lianqiu Min

28 total papers · 535 total citations
22 papers, 348 citations indexed

About

Lianqiu Min is a scholar working on Neurology, Molecular Biology and Epidemiology. According to data from OpenAlex, Lianqiu Min has authored 22 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Neurology, 7 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Lianqiu Min's work include Acute Ischemic Stroke Management (7 papers), Neurological Disease Mechanisms and Treatments (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Lianqiu Min is often cited by papers focused on Acute Ischemic Stroke Management (7 papers), Neurological Disease Mechanisms and Treatments (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Lianqiu Min collaborates with scholars based in China and United States. Lianqiu Min's co-authors include Yumin Luo, Rubo Sui, Haiping Zhao, Xunming Ji, Kun Han, Yang Li, Xiangrong Liu, Ning Jia, Yujie Jia and Rongliang Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cerebral Blood Flow & Metabolism and Journal of Cellular Biochemistry.

In The Last Decade

Lianqiu Min

21 papers receiving 340 citations

Author Peers

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

Author Last Decade Papers Cites
Lianqiu Min 101 89 79 63 44 22 348
Luyao Ao 83 0.8× 176 2.0× 107 1.4× 43 0.7× 29 0.7× 15 380
Yifan Liang 84 0.8× 68 0.8× 66 0.8× 54 0.9× 15 0.3× 18 336
Hongrui Zhan 95 0.9× 117 1.3× 108 1.4× 35 0.6× 31 0.7× 30 397
Wenzong Zhu 149 1.5× 129 1.4× 35 0.4× 63 1.0× 39 0.9× 17 383
Hong-Dong Zhao 78 0.8× 90 1.0× 44 0.6× 98 1.6× 50 1.1× 20 384
Fernando da Silva Fiorin 50 0.5× 75 0.8× 53 0.7× 55 0.9× 31 0.7× 22 337
Carmen Valeria Albu 100 1.0× 80 0.9× 39 0.5× 47 0.7× 27 0.6× 39 397
Etrat Hooshmandi 70 0.7× 89 1.0× 90 1.1× 29 0.5× 25 0.6× 38 355
Jingjing Li 105 1.0× 109 1.2× 56 0.7× 37 0.6× 11 0.3× 27 341
Shih‐Huang Tai 63 0.6× 120 1.3× 20 0.3× 21 0.3× 26 0.6× 25 315

Countries citing papers authored by Lianqiu Min

Since Specialization
Citations

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

Fields of papers citing papers by Lianqiu Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianqiu Min

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