Xiaoliang Shan

35 total papers · 847 total citations
25 papers, 687 citations indexed

About

Xiaoliang Shan is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Xiaoliang Shan has authored 25 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Plant Science and 8 papers in Cell Biology. Recurrent topics in Xiaoliang Shan's work include Plant-Microbe Interactions and Immunity (5 papers), Cancer-related gene regulation (5 papers) and Plant Pathogens and Fungal Diseases (5 papers). Xiaoliang Shan is often cited by papers focused on Plant-Microbe Interactions and Immunity (5 papers), Cancer-related gene regulation (5 papers) and Plant Pathogens and Fungal Diseases (5 papers). Xiaoliang Shan collaborates with scholars based in China, United States and France. Xiaoliang Shan's co-authors include Ni Tang, Marcus J. Allen, R. K. Murphey, Ailong Huang, Dan Nie, Qingmei Chen, Jia Tang, Kevin G. Moffat, Fan Zhou and Wenlu Zhang and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xiaoliang Shan

22 papers receiving 676 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaoliang Shan 402 171 114 106 102 25 687
Nishi Sharma 358 0.9× 72 0.4× 82 0.7× 172 1.6× 68 0.7× 23 702
Yixing Zhou 359 0.9× 106 0.6× 90 0.8× 82 0.8× 53 0.5× 22 653
Nikos Xylourgidis 467 1.2× 88 0.5× 124 1.1× 80 0.8× 37 0.4× 18 655
Yutaka Furutani 258 0.6× 77 0.5× 124 1.1× 51 0.5× 27 0.3× 35 594
Tom Kouki 328 0.8× 71 0.4× 53 0.5× 44 0.4× 81 0.8× 34 738
Almudena Pacheco 472 1.2× 195 1.1× 120 1.1× 41 0.4× 26 0.3× 15 717
Olga Ermakova 440 1.1× 50 0.3× 90 0.8× 74 0.7× 16 0.2× 29 721
Sittinan Chanarat 501 1.2× 104 0.6× 36 0.3× 53 0.5× 22 0.2× 23 697
Jakub K. Famulski 552 1.4× 47 0.3× 360 3.2× 66 0.6× 25 0.2× 29 730
Kan-ichi Nakagawara 281 0.7× 64 0.4× 49 0.4× 53 0.5× 14 0.1× 18 612

Countries citing papers authored by Xiaoliang Shan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoliang Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoliang Shan

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