Kan Li

86 total papers · 2.8k total citations
56 papers, 1.5k citations indexed

About

Kan Li is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Kan Li has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 9 papers in Infectious Diseases and 9 papers in Computational Theory and Mathematics. Recurrent topics in Kan Li's work include Computational Drug Discovery Methods (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Viral Infections and Immunology Research (5 papers). Kan Li is often cited by papers focused on Computational Drug Discovery Methods (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Viral Infections and Immunology Research (5 papers). Kan Li collaborates with scholars based in China, United States and Greece. Kan Li's co-authors include Ling Zan, Jin Mao, Tianyou Peng, Joseph Maytal, Liqun Ye, Xiaohu Zhang, Xiaohu Zhang, Sunil K. Sood, Jian Jin and Jingyu Zhu and has published in prestigious journals such as Science, Circulation and Nature Communications.

In The Last Decade

Kan Li

53 papers receiving 1.5k citations

Hit Papers

Design of a SARS-CoV-2 pa... 2024 2026 2024 10 20 30 40

Author Peers

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

Author Last Decade Papers Cites
Kan Li 528 466 375 234 134 56 1.5k
Jiaxin Liu 257 0.5× 397 0.9× 313 0.8× 62 0.3× 24 0.2× 109 1.6k
Miki Suzuki 136 0.3× 381 0.8× 1.0k 2.8× 118 0.5× 36 0.3× 70 2.2k
Hashem O. Alsaab 107 0.2× 286 0.6× 543 1.4× 60 0.3× 47 0.4× 90 1.7k
Yazan Haddad 79 0.1× 282 0.6× 517 1.4× 52 0.2× 64 0.5× 51 1.4k
Hyun‐Cheol Lee 370 0.7× 356 0.8× 488 1.3× 153 0.7× 6 0.0× 64 1.7k
Guilin Wang 259 0.5× 337 0.7× 679 1.8× 200 0.9× 8 0.1× 57 1.9k
Peipei Li 339 0.6× 207 0.4× 367 1.0× 317 1.4× 11 0.1× 70 1.7k
Jianxiong Liu 115 0.2× 167 0.4× 919 2.5× 88 0.4× 29 0.2× 79 1.8k
Chengcheng Zhang 118 0.2× 323 0.7× 312 0.8× 351 1.5× 27 0.2× 53 1.5k
Yuan Qiu 152 0.3× 410 0.9× 457 1.2× 105 0.4× 9 0.1× 60 1.4k

Countries citing papers authored by Kan Li

Since Specialization
Citations

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

Fields of papers citing papers by Kan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kan Li

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