Xiajie Shi

31 total papers · 468 total citations
25 papers, 361 citations indexed

About

Xiajie Shi is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Xiajie Shi has authored 25 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Genetics. Recurrent topics in Xiajie Shi's work include Diabetes and associated disorders (7 papers), Extracellular vesicles in disease (5 papers) and Diabetes Management and Research (4 papers). Xiajie Shi is often cited by papers focused on Diabetes and associated disorders (7 papers), Extracellular vesicles in disease (5 papers) and Diabetes Management and Research (4 papers). Xiajie Shi collaborates with scholars based in China, United States and Sweden. Xiajie Shi's co-authors include Zhiguang Zhou, Jing Wu, Gan Huang, Shan Wang, Shengdan Nie, Peilin Zheng, Zi Chen, Zhenqi Liu, Erika Bereczki and Zhixia Li and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, The FASEB Journal and Diabetologia.

In The Last Decade

Xiajie Shi

23 papers receiving 358 citations

Author Peers

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

Author Last Decade Papers Cites
Xiajie Shi 144 71 58 57 53 25 361
Guo‐Xiong Deng 92 0.6× 35 0.5× 56 1.0× 39 0.7× 41 0.8× 37 347
Yoji Kyotani 143 1.0× 83 1.2× 41 0.7× 37 0.6× 33 0.6× 22 328
Felipe Corrêa‐da‐Silva 140 1.0× 109 1.5× 66 1.1× 29 0.5× 47 0.9× 17 381
Yoichiro Asai 138 1.0× 52 0.7× 48 0.8× 85 1.5× 115 2.2× 15 329
Ying‐Hsin Chen 133 0.9× 37 0.5× 43 0.7× 39 0.7× 21 0.4× 16 379
Long Wang 141 1.0× 57 0.8× 25 0.4× 51 0.9× 26 0.5× 23 327
Jinyu Wang 137 1.0× 58 0.8× 39 0.7× 29 0.5× 51 1.0× 24 357
Lishan Huang 176 1.2× 59 0.8× 23 0.4× 36 0.6× 34 0.6× 35 403
Da Mi Kim 146 1.0× 73 1.0× 69 1.2× 63 1.1× 24 0.5× 25 378
Ken-ichi Nemoto 186 1.3× 61 0.9× 36 0.6× 51 0.9× 39 0.7× 19 394

Countries citing papers authored by Xiajie Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiajie Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiajie Shi

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