Kang Li

71 total papers · 2.3k total citations
58 papers, 1.6k citations indexed

About

Kang Li is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Kang Li has authored 58 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Epidemiology and 16 papers in Immunology. Recurrent topics in Kang Li's work include Neurobiology and Insect Physiology Research (13 papers), Autophagy in Disease and Therapy (13 papers) and Invertebrate Immune Response Mechanisms (7 papers). Kang Li is often cited by papers focused on Neurobiology and Insect Physiology Research (13 papers), Autophagy in Disease and Therapy (13 papers) and Invertebrate Immune Response Mechanisms (7 papers). Kang Li collaborates with scholars based in China, United States and Italy. Kang Li's co-authors include Sheng Li, Qiangqiang Jia, Ling Tian, Subba Reddy Palli, Yang Cao, Suning Liu, Qili Feng, Ian A. Simpson, Paul G. Lysko and Frank C. Barone and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Kang Li

51 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Kang Li 621 464 317 267 220 58 1.6k
Helen Beneš 947 1.5× 288 0.6× 376 1.2× 233 0.9× 133 0.6× 39 1.8k
Zeyu Jiang 967 1.6× 702 1.5× 239 0.8× 351 1.3× 182 0.8× 50 2.3k
Kyung‐Jin Min 539 0.9× 389 0.8× 343 1.1× 174 0.7× 107 0.5× 41 1.8k
Lei Liu 602 1.0× 629 1.4× 176 0.6× 223 0.8× 174 0.8× 74 1.8k
Frances V. McCann 577 0.9× 630 1.4× 165 0.5× 166 0.6× 105 0.5× 54 1.3k
Nazif Alic 1.3k 2.0× 537 1.2× 305 1.0× 187 0.7× 96 0.4× 51 2.4k
Jason M. Tennessen 980 1.6× 605 1.3× 291 0.9× 273 1.0× 58 0.3× 52 2.2k
Ronald Y. Chuang 778 1.3× 615 1.3× 174 0.5× 125 0.5× 105 0.5× 81 1.9k
Laurent Seroude 691 1.1× 519 1.1× 388 1.2× 227 0.9× 69 0.3× 32 1.7k
O‐Yu Kwon 819 1.3× 352 0.8× 236 0.7× 187 0.7× 85 0.4× 117 1.9k

Countries citing papers authored by Kang Li

Since Specialization
Citations

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

Fields of papers citing papers by Kang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Li

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