Min Song

43 total papers · 1.2k total citations
28 papers, 1.0k citations indexed

About

Min Song is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Min Song has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Neurology and 10 papers in Physiology. Recurrent topics in Min Song's work include Alzheimer's disease research and treatments (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Immune Response and Inflammation (4 papers). Min Song is often cited by papers focused on Alzheimer's disease research and treatments (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Immune Response and Inflammation (4 papers). Min Song collaborates with scholars based in China, United States and France. Min Song's co-authors include Abhinandan Pattanayak, Jinghong Kou, Yun Bai, Ken-ichiro Fukuchi, Robert Lalonde, Jeong-Eun Lim, Yanyan Wang, Jingji Jin, Xueqing Xu and Jiaxiang Xiong and has published in prestigious journals such as Nature Medicine, PLoS ONE and Brain Research.

In The Last Decade

Min Song

27 papers receiving 1.0k 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 Song 420 419 344 181 164 28 1.0k
Youngpyo Nam 325 0.8× 377 0.9× 398 1.2× 186 1.0× 162 1.0× 27 1.1k
W. Sue T. Griffin 516 1.2× 554 1.3× 346 1.0× 123 0.7× 215 1.3× 32 1.2k
Siddhita D. Mhatre 391 0.9× 291 0.7× 239 0.7× 186 1.0× 138 0.8× 20 1.0k
Er‐Qing Wei 225 0.5× 435 1.0× 394 1.1× 157 0.9× 203 1.2× 34 1.1k
Myungjin Jo 267 0.6× 388 0.9× 493 1.4× 142 0.8× 170 1.0× 21 1.1k
Derek A. Costello 301 0.7× 218 0.5× 459 1.3× 261 1.4× 182 1.1× 22 884
Sara Bachiller 221 0.5× 355 0.8× 625 1.8× 228 1.3× 199 1.2× 23 1.2k
Jun Zhou 536 1.3× 450 1.1× 429 1.2× 169 0.9× 251 1.5× 25 1.2k
Kelly Ceyzériat 343 0.8× 251 0.6× 410 1.2× 95 0.5× 167 1.0× 32 870
Elodie Martin 308 0.7× 307 0.7× 302 0.9× 127 0.7× 223 1.4× 31 959

Countries citing papers authored by Min Song

Since Specialization
Citations

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

Fields of papers citing papers by Min Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Song

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