Chuan Song

57 total papers · 939 total citations
37 papers, 436 citations indexed

About

Chuan Song is a scholar working on Infectious Diseases, Epidemiology and Virology. According to data from OpenAlex, Chuan Song has authored 37 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 10 papers in Epidemiology and 9 papers in Virology. Recurrent topics in Chuan Song's work include HIV Research and Treatment (9 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and HIV/AIDS Research and Interventions (5 papers). Chuan Song is often cited by papers focused on HIV Research and Treatment (9 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and HIV/AIDS Research and Interventions (5 papers). Chuan Song collaborates with scholars based in China, United States and Hong Kong. Chuan Song's co-authors include Hui Zeng, Chen Chen, Yuanyuan Zhang, Jiarui Li, Pengcheng Du, Xuesen Zhao, Danying Chen, Junyan Han, Rui Li and Xinglin Li and has published in prestigious journals such as Molecular Cell, Clinical Infectious Diseases and Journal of Virology.

In The Last Decade

Chuan Song

30 papers receiving 432 citations

Author Peers

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

Author Last Decade Papers Cites
Chuan Song 197 129 109 62 58 37 436
Luis Adrián De Jesús‐González 266 1.4× 180 1.4× 73 0.7× 62 1.0× 26 0.4× 35 484
Tian‐Zhang Song 147 0.7× 118 0.9× 54 0.5× 62 1.0× 16 0.3× 20 397
Kaori Fujiwara 99 0.5× 87 0.7× 94 0.9× 27 0.4× 62 1.1× 45 411
Carlos Noe Farfán-Morales 247 1.3× 165 1.3× 63 0.6× 55 0.9× 26 0.4× 26 436
Kai Qin 228 1.2× 71 0.6× 106 1.0× 105 1.7× 29 0.5× 20 463
Francesca Falasca 193 1.0× 70 0.5× 87 0.8× 50 0.8× 80 1.4× 37 435
Amandine Pisoni 292 1.5× 50 0.4× 112 1.0× 47 0.8× 16 0.3× 29 474
Aurelia Gaeta 106 0.5× 60 0.5× 184 1.7× 43 0.7× 21 0.4× 42 388
Santhamani Ramasamy 212 1.1× 122 0.9× 79 0.7× 79 1.3× 12 0.2× 24 405
Marinella Portolani 151 0.8× 76 0.6× 245 2.2× 55 0.9× 20 0.3× 28 478

Countries citing papers authored by Chuan Song

Since Specialization
Citations

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

Fields of papers citing papers by Chuan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuan Song

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