Kaiyu Xu

18 total papers · 874 total citations
14 papers, 689 citations indexed

About

Kaiyu Xu is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Kaiyu Xu has authored 14 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Neurology. Recurrent topics in Kaiyu Xu's work include Gut microbiota and health (5 papers), Diet and metabolism studies (3 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). Kaiyu Xu is often cited by papers focused on Gut microbiota and health (5 papers), Diet and metabolism studies (3 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). Kaiyu Xu collaborates with scholars based in China and Germany. Kaiyu Xu's co-authors include Hongwei Zhou, Genghong Xia, Jia Yin, Shan Wang, Xuxuan Gao, Yan He, Xiuli Zeng, Chao You, Chuhong Tan and Jing Nie and has published in prestigious journals such as Gut, Scientific Reports and Frontiers in Neuroscience.

In The Last Decade

Kaiyu Xu

13 papers receiving 685 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Kaiyu Xu	479	230	144	81	71	14	689
Prasenjit Prasad Saha	515 1.1×	211 0.9×	25 0.2×	71 0.9×	38 0.5×	11	777
Stefanie Haase	279 0.6×	111 0.5×	58 0.4×	43 0.5×	68 1.0×	18	623
Kinga Jaworska	389 0.8×	308 1.3×	30 0.2×	45 0.6×	68 1.0×	21	593
Junling Gu	457 1.0×	160 0.7×	33 0.2×	86 1.1×	26 0.4×	22	745
Colleen T. Cole‐Jeffrey	400 0.8×	270 1.2×	31 0.2×	37 0.5×	51 0.7×	7	660
Patrícia Teixeira Santana	294 0.6×	47 0.2×	44 0.3×	96 1.2×	30 0.4×	16	678
Tanja Schönfelder	315 0.7×	246 1.1×	26 0.2×	67 0.8×	35 0.5×	12	759
Giuseppina Dusio	235 0.5×	139 0.6×	21 0.1×	71 0.9×	22 0.3×	20	654
James Stankiewicz	339 0.7×	82 0.4×	67 0.5×	38 0.5×	70 1.0×	14	689
Daniel Y. Li	453 0.9×	266 1.2×	15 0.1×	71 0.9×	42 0.6×	6	667

Countries citing papers authored by Kaiyu Xu

Since Specialization

Citations

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

Fields of papers citing papers by Kaiyu Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiyu Xu

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