Shengkai Li

31 total papers · 440 total citations
16 papers, 214 citations indexed

About

Shengkai Li is a scholar working on Molecular Biology, Infectious Diseases and Neurology. According to data from OpenAlex, Shengkai Li has authored 16 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Infectious Diseases and 3 papers in Neurology. Recurrent topics in Shengkai Li's work include COVID-19 Clinical Research Studies (3 papers), Antibiotic Resistance in Bacteria (3 papers) and COVID-19 diagnosis using AI (3 papers). Shengkai Li is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), Antibiotic Resistance in Bacteria (3 papers) and COVID-19 diagnosis using AI (3 papers). Shengkai Li collaborates with scholars based in China, Australia and Iran. Shengkai Li's co-authors include Yongliang Lou, Zhijian Yang, Renhua Wu, Yanyan Tang, Zhuozhi Dai, Zhiqi Yang, Xiangguang Chen, Yuting Liao, Hongfu Sun and Xiaofeng Chen and has published in prestigious journals such as The Science of The Total Environment, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Shengkai Li

11 papers receiving 209 citations

Author Peers

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

Author Last Decade Papers Cites
Shengkai Li 67 63 53 23 21 16 214
Huijing Ma 105 1.6× 34 0.5× 79 1.5× 31 1.3× 23 1.1× 19 282
Kunhua Wang 52 0.8× 45 0.7× 90 1.7× 20 0.9× 3 0.1× 12 249
Saki Matsumoto 191 2.9× 24 0.4× 108 2.0× 20 0.9× 22 1.0× 11 312
Jinxiu Yao 76 1.1× 21 0.3× 28 0.5× 10 0.4× 14 0.7× 13 154
Abdulmonem A. Alsaleh 44 0.7× 20 0.3× 74 1.4× 5 0.2× 9 0.4× 24 189
Jéssica Catarine Frutuoso do Nascimento 90 1.3× 16 0.3× 112 2.1× 18 0.8× 13 0.6× 13 285
Sneh Lata Gupta 71 1.1× 8 0.1× 62 1.2× 45 2.0× 7 0.3× 30 278
Alice Elena Ghenea 30 0.4× 20 0.3× 33 0.6× 14 0.6× 9 0.4× 29 256
Bei Xue 109 1.6× 12 0.2× 121 2.3× 22 1.0× 23 1.1× 14 314
Prabin Baral 145 2.2× 25 0.4× 134 2.5× 6 0.3× 20 1.0× 17 291

Countries citing papers authored by Shengkai Li

Since Specialization
Citations

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

Fields of papers citing papers by Shengkai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengkai Li

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