Ming Shun Li

35 total papers · 557 total citations
18 papers, 404 citations indexed

About

Ming Shun Li is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, Ming Shun Li has authored 18 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Insect Science and 7 papers in Plant Science. Recurrent topics in Ming Shun Li's work include Insect Resistance and Genetics (15 papers), Entomopathogenic Microorganisms in Pest Control (8 papers) and Insect and Pesticide Research (6 papers). Ming Shun Li is often cited by papers focused on Insect Resistance and Genetics (15 papers), Entomopathogenic Microorganisms in Pest Control (8 papers) and Insect and Pesticide Research (6 papers). Ming Shun Li collaborates with scholars based in South Korea and China. Ming Shun Li's co-authors include Jong Yul Roh, Yeon Ho Je, Jae Young Choi, Byung Rae Jin, Soo Dong Woo, Kyung Saeng Boo, Jinhee Chang, Soo-Jin Kwon, Hung Dae Sohn and Beom‐Seok Park and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of General Virology and Archives of Virology.

In The Last Decade

Ming Shun Li

18 papers receiving 368 citations

Author Peers

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

Author Last Decade Papers Cites
Ming Shun Li 294 275 177 28 19 18 404
Cécile Rang 384 1.3× 284 1.0× 166 0.9× 10 0.4× 8 0.4× 12 445
Άννα Κολλιοπούλου 335 1.1× 165 0.6× 197 1.1× 29 1.0× 80 4.2× 19 465
Daniel Hasegawa 108 0.4× 269 1.0× 207 1.2× 10 0.4× 10 0.5× 18 383
Wei Guo 235 0.8× 116 0.4× 73 0.4× 17 0.6× 18 0.9× 21 401
R. Andrews Witherell 118 0.4× 217 0.8× 215 1.2× 51 1.8× 63 3.3× 7 371
Karine Ricaud 182 0.6× 191 0.7× 88 0.5× 15 0.5× 59 3.1× 23 425
Jean Richardson 86 0.3× 264 1.0× 335 1.9× 26 0.9× 12 0.6× 35 441
Christina Nielsen‐LeRoux 313 1.1× 191 0.7× 105 0.6× 14 0.5× 14 0.7× 12 397
Aqeel Ahmad 229 0.8× 273 1.0× 178 1.0× 48 1.7× 3 0.2× 15 457
Shahideh Nouri 96 0.3× 214 0.8× 325 1.8× 32 1.1× 5 0.3× 18 412

Countries citing papers authored by Ming Shun Li

Since Specialization
Citations

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

Fields of papers citing papers by Ming Shun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Shun Li

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