Xiaosi Chen

34 total papers · 490 total citations
23 papers, 316 citations indexed

About

Xiaosi Chen is a scholar working on Animal Science and Zoology, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiaosi Chen has authored 23 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Animal Science and Zoology, 8 papers in Ophthalmology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiaosi Chen's work include Meat and Animal Product Quality (10 papers), Retinal Diseases and Treatments (7 papers) and Retinal Imaging and Analysis (6 papers). Xiaosi Chen is often cited by papers focused on Meat and Animal Product Quality (10 papers), Retinal Diseases and Treatments (7 papers) and Retinal Imaging and Analysis (6 papers). Xiaosi Chen collaborates with scholars based in China, Australia and United Kingdom. Xiaosi Chen's co-authors include Zefu Wang, Hongjun Li, Zhifei He, Dong Zhang, Xinyuan Zhang, Tianxing Ma, Bin Sheng, Lei Bi, A.M. Emara and Tingyao Li and has published in prestigious journals such as Food Chemistry, LWT and Journal of Neurology.

In The Last Decade

Xiaosi Chen

21 papers receiving 312 citations

Author Peers

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

Author						Papers	Cites
Xiaosi Chen	110	67	57	56	49	23	316
Yajie Yu	53 0.5×	106 1.6×	43 0.8×	76 1.4×	70 1.4×	27	330
Carmen Bravo-Llatas	141 1.3×	105 1.6×	12 0.2×	82 1.5×	46 0.9×	28	346
Lan Yao	26 0.2×	11 0.2×	47 0.8×	13 0.2×	73 1.5×	36	292
Zhenjiang Ding	114 1.0×	9 0.1×	22 0.4×	9 0.2×	132 2.7×	25	332
Ho Hang Leung	16 0.1×	63 0.9×	22 0.4×	22 0.4×	97 2.0×	18	321
Sivert Bjurström	15 0.1×	52 0.8×	8 0.1×	30 0.5×	98 2.0×	19	343
Eva Kot	17 0.2×	4 0.1×	90 1.6×	62 1.1×	147 3.0×	26	354
Tyler Bahr	6 0.1×	55 0.8×	32 0.6×	50 0.9×	118 2.4×	19	306
Mohammed Safwan Ali Khan	8 0.1×	41 0.6×	43 0.8×	29 0.5×	127 2.6×	27	328
Melina V. Mateos	5 0.0×	84 1.3×	37 0.6×	24 0.4×	192 3.9×	24	335

Countries citing papers authored by Xiaosi Chen

Since Specialization

Citations

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

Fields of papers citing papers by Xiaosi Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaosi Chen

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