Xun Shi

38 total papers · 553 total citations
27 papers, 357 citations indexed

About

Xun Shi is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Xun Shi has authored 27 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pulmonary and Respiratory Medicine, 16 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Xun Shi's work include Lung Cancer Treatments and Mutations (18 papers), Cancer Genomics and Diagnostics (8 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Xun Shi is often cited by papers focused on Lung Cancer Treatments and Mutations (18 papers), Cancer Genomics and Diagnostics (8 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Xun Shi collaborates with scholars based in China and United States. Xun Shi's co-authors include Xinmin Yu, Ying Jin, Jun Zhao, Qiong He, Guangyuan Lou, Chen Lin, Yiping Zhang, Yang Shao, Zhengbo Song and Xue Wu and has published in prestigious journals such as Journal of Clinical Oncology, British Journal of Cancer and Oncotarget.

In The Last Decade

Xun Shi

22 papers receiving 355 citations

Author Peers

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

Author Last Decade Papers Cites
Xun Shi 252 230 109 71 44 27 357
M.R. García Campelo 299 1.2× 284 1.2× 89 0.8× 118 1.7× 32 0.7× 35 385
Giulia Grizzi 183 0.7× 260 1.1× 70 0.6× 81 1.1× 29 0.7× 24 367
Alessandra Ferro 172 0.7× 176 0.8× 75 0.7× 79 1.1× 31 0.7× 37 310
Sebastian Michels 223 0.9× 197 0.9× 85 0.8× 128 1.8× 40 0.9× 52 348
Marco Brugia 126 0.5× 216 0.9× 100 0.9× 117 1.6× 32 0.7× 31 349
Fawaz Almutairi 231 0.9× 130 0.6× 114 1.0× 68 1.0× 58 1.3× 21 369
Erion Dobi 144 0.6× 212 0.9× 110 1.0× 74 1.0× 28 0.6× 31 352
Christina J. Falcon 210 0.8× 180 0.8× 63 0.6× 97 1.4× 23 0.5× 22 297
Sergi Clavé 221 0.9× 207 0.9× 117 1.1× 76 1.1× 31 0.7× 26 365
Н. А. Савелов 280 1.1× 185 0.8× 72 0.7× 52 0.7× 55 1.3× 21 384

Countries citing papers authored by Xun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xun Shi

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