Jin‐Min Guo

29 total papers · 530 total citations
23 papers, 420 citations indexed

About

Jin‐Min Guo is a scholar working on Neurology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Jin‐Min Guo has authored 23 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 5 papers in Molecular Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Jin‐Min Guo's work include Alcohol Consumption and Health Effects (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). Jin‐Min Guo is often cited by papers focused on Alcohol Consumption and Health Effects (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). Jin‐Min Guo collaborates with scholars based in China and United States. Jin‐Min Guo's co-authors include Aijun Liu, Ding‐Feng Su, Jawahar L. Mehta, Ding‐Feng Su, Wei Wang, Jun Cai, Junli Duan, Ying Li, Pu Zang and Pu Xu and has published in prestigious journals such as European Heart Journal, Journal of Cerebral Blood Flow & Metabolism and European Journal of Pharmacology.

In The Last Decade

Jin‐Min Guo

20 papers receiving 417 citations

Author Peers

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

Author Last Decade Papers Cites
Jin‐Min Guo 147 106 77 75 75 23 420
Keita Shibata 90 0.6× 53 0.5× 38 0.5× 52 0.7× 51 0.7× 30 385
Kiyotaka Hoshiai 198 1.3× 63 0.6× 38 0.5× 85 1.1× 133 1.8× 24 488
Michael M. Yeboah 218 1.5× 222 2.1× 61 0.8× 92 1.2× 33 0.4× 12 477
Yung Woo Shin 107 0.7× 68 0.6× 58 0.8× 180 2.4× 74 1.0× 51 456
Guangtian Yang 196 1.3× 28 0.3× 69 0.9× 48 0.6× 41 0.5× 33 473
Toshiya Katsumata 65 0.4× 199 1.9× 43 0.6× 33 0.4× 86 1.1× 20 412
Harumitsu Nagoya 149 1.0× 96 0.9× 27 0.4× 84 1.1× 63 0.8× 27 493
Madhur Ray 168 1.1× 97 0.9× 60 0.8× 41 0.5× 74 1.0× 16 490
Abdullah Açar 65 0.4× 79 0.7× 55 0.7× 38 0.5× 57 0.8× 33 409
Hao Gao 193 1.3× 101 1.0× 20 0.3× 40 0.5× 57 0.8× 30 458

Countries citing papers authored by Jin‐Min Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Min Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin‐Min Guo

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