Min Kong

71 total papers · 805 total citations
46 papers, 553 citations indexed

About

Min Kong is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Min Kong has authored 46 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Physiology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Min Kong's work include Alzheimer's disease research and treatments (10 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Neuroscience and Neuropharmacology Research (8 papers). Min Kong is often cited by papers focused on Alzheimer's disease research and treatments (10 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Neuroscience and Neuropharmacology Research (8 papers). Min Kong collaborates with scholars based in China, Singapore and South Korea. Min Kong's co-authors include Maowen Ba, Guozhao Ma, Yong Zou, Joshua T. Bram, J Hodler, Marco Zanetti, Lina Guan, Hongqi Yang, Guoqiang Lü and Guoping Yu and has published in prestigious journals such as Brain Research, Frontiers in Immunology and Behavioural Brain Research.

In The Last Decade

Min Kong

41 papers receiving 545 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 Kong 152 143 133 104 72 46 553
Volkan Solmaz 159 1.0× 115 0.8× 96 0.7× 142 1.4× 53 0.7× 56 668
R Carasso 174 1.1× 170 1.2× 197 1.5× 119 1.1× 52 0.7× 31 660
Saleh Al Deeb 196 1.3× 168 1.2× 169 1.3× 141 1.4× 39 0.5× 29 668
Yajun Lian 116 0.8× 195 1.4× 120 0.9× 252 2.4× 77 1.1× 23 656
José Rodolfo Lopes de Paiva Cavalcanti 123 0.8× 141 1.0× 124 0.9× 71 0.7× 50 0.7× 60 566
Xiaoli Liu 105 0.7× 130 0.9× 186 1.4× 146 1.4× 50 0.7× 34 628
Vesna Selaković 153 1.0× 146 1.0× 82 0.6× 103 1.0× 44 0.6× 41 637
Toshiaki Inagaki 122 0.8× 173 1.2× 118 0.9× 259 2.5× 33 0.5× 33 651
CM Fernandez-Martos 194 1.3× 195 1.4× 98 0.7× 196 1.9× 38 0.5× 26 605
Seyed Shahabeddin Sadr 155 1.0× 228 1.6× 39 0.3× 129 1.2× 58 0.8× 33 678

Countries citing papers authored by Min Kong

Since Specialization
Citations

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

Fields of papers citing papers by Min Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Kong

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