Kai‐Shu Ling

41 total papers · 967 total citations
25 papers, 402 citations indexed

About

Kai‐Shu Ling is a scholar working on Plant Science, Insect Science and Genetics. According to data from OpenAlex, Kai‐Shu Ling has authored 25 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 10 papers in Insect Science and 3 papers in Genetics. Recurrent topics in Kai‐Shu Ling's work include Plant Virus Research Studies (19 papers), Plant Pathogenic Bacteria Studies (10 papers) and Insect-Plant Interactions and Control (10 papers). Kai‐Shu Ling is often cited by papers focused on Plant Virus Research Studies (19 papers), Plant Pathogenic Bacteria Studies (10 papers) and Insect-Plant Interactions and Control (10 papers). Kai‐Shu Ling collaborates with scholars based in United States, China and Saudi Arabia. Kai‐Shu Ling's co-authors include Bidisha Chanda, Zhangjun Fei, Rugang Li, Shan Gao, Md Shamimuzzaman, Alvaro G. Hernandez, W. Patrick Wechter, Hada Wuriyanghan, Raquel Salati and Namrata Jaiswal and has published in prestigious journals such as PLoS ONE, New Phytologist and Frontiers in Plant Science.

In The Last Decade

Kai‐Shu Ling

20 papers receiving 391 citations

Author Peers

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

Author Last Decade Papers Cites
Kai‐Shu Ling 383 121 89 73 30 25 402
Á. S. Costa 406 1.1× 148 1.2× 60 0.7× 55 0.8× 26 0.9× 42 445
J. E. Thomas 371 1.0× 114 0.9× 103 1.2× 88 1.2× 21 0.7× 28 387
R. K. Khetarpal 367 1.0× 78 0.6× 93 1.0× 96 1.3× 42 1.4× 28 384
P. Chiemsombat 337 0.9× 87 0.7× 107 1.2× 64 0.9× 25 0.8× 28 362
José Francisco Ballester-Olmos 413 1.1× 205 1.7× 122 1.4× 67 0.9× 16 0.5× 28 432
Nazia Nahid 305 0.8× 89 0.7× 101 1.1× 103 1.4× 18 0.6× 28 386
Ludmila Maslenin 367 1.0× 182 1.5× 81 0.9× 88 1.2× 28 0.9× 31 444
Han-Xin Lin 352 0.9× 128 1.1× 143 1.6× 40 0.5× 21 0.7× 12 364
Lei Jiang 321 0.8× 77 0.6× 66 0.7× 43 0.6× 43 1.4× 24 345
Cecilia Sarmiento 306 0.8× 92 0.8× 99 1.1× 102 1.4× 26 0.9× 17 369

Countries citing papers authored by Kai‐Shu Ling

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Shu Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Shu Ling. 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 Kai‐Shu Ling. The network helps show where Kai‐Shu Ling may publish in the future.

Co-authorship network of co-authors of Kai‐Shu Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Shu Ling. A scholar is included among the top collaborators of Kai‐Shu Ling 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 Kai‐Shu Ling. Kai‐Shu Ling 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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