Xiaoyi Kuai

23 total papers · 528 total citations
18 papers, 392 citations indexed

About

Xiaoyi Kuai is a scholar working on Molecular Biology, Oncology and Gastroenterology. According to data from OpenAlex, Xiaoyi Kuai has authored 18 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Gastroenterology. Recurrent topics in Xiaoyi Kuai's work include Hedgehog Signaling Pathway Studies (3 papers), Gastrointestinal motility and disorders (3 papers) and Gut microbiota and health (3 papers). Xiaoyi Kuai is often cited by papers focused on Hedgehog Signaling Pathway Studies (3 papers), Gastrointestinal motility and disorders (3 papers) and Gut microbiota and health (3 papers). Xiaoyi Kuai collaborates with scholars based in China, United States and Norway. Xiaoyi Kuai's co-authors include Chunli Zhou, Xinyu Shao, Lijuan Xu, Yuqing Zhou, Yi Liu, Xiaohan Yao, Liping Zhang, Hongjie Zhang, Shunying Yu and Huiyu Wang and has published in prestigious journals such as Scientific Reports, World Journal of Gastroenterology and Journal of Proteome Research.

In The Last Decade

Xiaoyi Kuai

16 papers receiving 387 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaoyi Kuai 250 67 66 54 50 18 392
Cungen Ma 202 0.8× 44 0.7× 40 0.6× 18 0.3× 30 0.6× 32 421
Naoko Tachibana 223 0.9× 48 0.7× 65 1.0× 18 0.3× 17 0.3× 14 380
Nivis Brito 179 0.7× 35 0.5× 58 0.9× 13 0.2× 30 0.6× 15 357
Shaogang Huang 144 0.6× 52 0.8× 29 0.4× 19 0.4× 80 1.6× 21 342
Xiuli Lin 183 0.7× 18 0.3× 47 0.7× 18 0.3× 30 0.6× 21 342
Lydia Murray 213 0.9× 34 0.5× 95 1.4× 16 0.3× 17 0.3× 10 441
Harish P. Janardhan 260 1.0× 10 0.1× 56 0.8× 27 0.5× 18 0.4× 16 397
Guy Chung‐Faye 84 0.3× 144 2.1× 34 0.5× 15 0.3× 27 0.5× 22 422
Tsukasa Yamakawa 187 0.7× 28 0.4× 18 0.3× 52 1.0× 13 0.3× 18 424
Letizia Paladino 226 0.9× 24 0.4× 51 0.8× 33 0.6× 7 0.1× 23 348

Countries citing papers authored by Xiaoyi Kuai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyi Kuai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyi Kuai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyi Kuai. A scholar is included among the top collaborators of Xiaoyi Kuai 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 Xiaoyi Kuai. Xiaoyi Kuai 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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2026