Xiaoshun Shi

81 total papers · 1.8k total citations
45 papers, 1.2k citations indexed

About

Xiaoshun Shi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Xiaoshun Shi has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 20 papers in Pulmonary and Respiratory Medicine and 17 papers in Cancer Research. Recurrent topics in Xiaoshun Shi's work include RNA modifications and cancer (17 papers), Lung Cancer Treatments and Mutations (12 papers) and Cancer-related molecular mechanisms research (11 papers). Xiaoshun Shi is often cited by papers focused on RNA modifications and cancer (17 papers), Lung Cancer Treatments and Mutations (12 papers) and Cancer-related molecular mechanisms research (11 papers). Xiaoshun Shi collaborates with scholars based in China, United States and Australia. Xiaoshun Shi's co-authors include Jianxing He, Wenhua Liang, Qiuhua Deng, Wenlong Shao, Qun Wang, Gening Jiang, Zhihua Zhu, Zheng Wang, Lunxu Liu and Deruo Liu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and CHEST Journal.

In The Last Decade

Xiaoshun Shi

45 papers receiving 1.2k citations

Hit Papers

Development and Validatio... 2015 2026 2018 2022 2015 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Xiaoshun Shi 603 414 350 296 212 45 1.2k
Tanja Langsenlehner 322 0.5× 595 1.4× 325 0.9× 363 1.2× 166 0.8× 56 1.2k
Lara Pijuán 677 1.1× 565 1.4× 306 0.9× 309 1.0× 166 0.8× 74 1.2k
Marine Lefèvre 415 0.7× 287 0.7× 311 0.9× 207 0.7× 214 1.0× 67 1.0k
Moritz von Winterfeld 376 0.6× 571 1.4× 282 0.8× 356 1.2× 213 1.0× 38 1.1k
Lionel D’Hondt 338 0.6× 309 0.7× 363 1.0× 178 0.6× 159 0.8× 64 1.1k
Xiao Li 343 0.6× 258 0.6× 467 1.3× 346 1.2× 144 0.7× 75 1.0k
Caroline Geers 341 0.6× 389 0.9× 474 1.4× 264 0.9× 190 0.9× 43 1.1k
Yan Fu 277 0.5× 495 1.2× 231 0.7× 208 0.7× 215 1.0× 50 981
Jing Li 483 0.8× 416 1.0× 268 0.8× 175 0.6× 180 0.8× 62 1.1k
Qi Liu 482 0.8× 387 0.9× 226 0.6× 135 0.5× 107 0.5× 42 1.1k

Countries citing papers authored by Xiaoshun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoshun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoshun Shi

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