Xiaotong Shi

58 total papers · 519 total citations
32 papers, 331 citations indexed

About

Xiaotong Shi is a scholar working on Surgery, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Xiaotong Shi has authored 32 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 7 papers in Molecular Biology and 6 papers in Biomedical Engineering. Recurrent topics in Xiaotong Shi's work include Orthopaedic implants and arthroplasty (5 papers), Bone Tissue Engineering Materials (5 papers) and Anesthesia and Neurotoxicity Research (4 papers). Xiaotong Shi is often cited by papers focused on Orthopaedic implants and arthroplasty (5 papers), Bone Tissue Engineering Materials (5 papers) and Anesthesia and Neurotoxicity Research (4 papers). Xiaotong Shi collaborates with scholars based in China and United States. Xiaotong Shi's co-authors include Jianguo Liu, Yu Han, Daowen Wang, Pengwei Jing, Wen‐Jun Tu, Liming Gong, Weipeng Wang, Chunyang Feng, Jianguo Liu and Peibiao Zhang and has published in prestigious journals such as Nature Communications, Biochemical and Biophysical Research Communications and Chemical Engineering Journal.

In The Last Decade

Xiaotong Shi

28 papers receiving 323 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaotong Shi 99 96 77 53 39 32 331
S Fujiwara 138 1.4× 39 0.4× 37 0.5× 15 0.3× 18 0.5× 25 329
Johana Guevara 102 1.0× 65 0.7× 26 0.3× 98 1.8× 101 2.6× 37 353
Xingyuan Jia 121 1.2× 52 0.5× 19 0.2× 18 0.3× 16 0.4× 24 297
Elizabeth G. Ames 128 1.3× 33 0.3× 26 0.3× 23 0.4× 13 0.3× 23 288
Arvind K.N. Nandedkar 150 1.5× 46 0.5× 14 0.2× 80 1.5× 49 1.3× 21 349
Qiu Xie 136 1.4× 34 0.4× 23 0.3× 20 0.4× 113 2.9× 20 301
Krisztína Németh 132 1.3× 36 0.4× 12 0.2× 20 0.4× 15 0.4× 36 301
Toshiya Nishikubo 99 1.0× 51 0.5× 39 0.5× 10 0.2× 12 0.3× 35 351
Linbo Guan 80 0.8× 17 0.2× 25 0.3× 42 0.8× 8 0.2× 29 331
Yasmina Benazzoug 59 0.6× 62 0.6× 11 0.1× 17 0.3× 46 1.2× 27 324

Countries citing papers authored by Xiaotong Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaotong Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaotong Shi

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