Cun Li

94 total papers · 4.9k total citations
60 papers, 2.6k citations indexed

About

Cun Li is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Cun Li has authored 60 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Infectious Diseases, 20 papers in Epidemiology and 15 papers in Molecular Biology. Recurrent topics in Cun Li's work include Influenza Virus Research Studies (13 papers), SARS-CoV-2 and COVID-19 Research (12 papers) and Respiratory viral infections research (9 papers). Cun Li is often cited by papers focused on Influenza Virus Research Studies (13 papers), SARS-CoV-2 and COVID-19 Research (12 papers) and Respiratory viral infections research (9 papers). Cun Li collaborates with scholars based in China, Hong Kong and United States. Cun Li's co-authors include Hin Chu, Jie Zhou, Kwok‐Yung Yuen, Kelvin Kai‐Wang To, Jasper Fuk‐Woo Chan, Dong Wang, Bosco Ho‐Yin Wong, Zhongshan Cheng, Kenneth Kak‐Yuen Wong and Bo‐Jian Zheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Cun Li

58 papers receiving 2.6k citations

Hit Papers

Active Replication of Mid... 2013 2026 2017 2021 2013 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Cun Li 1.4k 585 443 409 301 60 2.6k
Kailang Wu 1.4k 1.0× 932 1.6× 472 1.1× 613 1.5× 210 0.7× 50 2.9k
Andrew Chak-Yiu Lee 1.6k 1.1× 306 0.5× 410 0.9× 347 0.8× 422 1.4× 38 2.4k
Mart M. Lamers 2.4k 1.7× 770 1.3× 559 1.3× 351 0.9× 315 1.0× 51 3.6k
Gengfu Xiao 2.4k 1.7× 1.2k 2.0× 428 1.0× 368 0.9× 291 1.0× 80 4.0k
Reed F. Johnson 2.1k 1.5× 625 1.1× 772 1.7× 315 0.8× 180 0.6× 85 3.1k
Zheng Zhu 2.1k 1.5× 598 1.0× 341 0.8× 246 0.6× 279 0.9× 36 3.1k
Aiping Wu 1.9k 1.3× 1.3k 2.2× 709 1.6× 512 1.3× 242 0.8× 122 3.8k
Susanne Pfefferle 2.4k 1.7× 484 0.8× 390 0.9× 266 0.7× 403 1.3× 63 3.2k
Huan Liu 2.5k 1.7× 1.2k 2.0× 365 0.8× 379 0.9× 568 1.9× 64 4.2k
Zichun Xiang 2.6k 1.9× 826 1.4× 599 1.4× 733 1.8× 420 1.4× 28 3.7k

Countries citing papers authored by Cun Li

Since Specialization
Citations

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

Fields of papers citing papers by Cun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cun Li

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