S. Yuan

486 total citations
2 papers, 3 citations indexed

About

S. Yuan is a scholar working on Animal Science and Zoology, Endocrinology, Diabetes and Metabolism and Biotechnology. According to data from OpenAlex, S. Yuan has authored 2 papers receiving a total of 3 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Animal Science and Zoology, 1 paper in Endocrinology, Diabetes and Metabolism and 1 paper in Biotechnology. Recurrent topics in S. Yuan's work include Sperm and Testicular Function (1 paper), Proteins in Food Systems (1 paper) and Meat and Animal Product Quality (1 paper). S. Yuan is often cited by papers focused on Sperm and Testicular Function (1 paper), Proteins in Food Systems (1 paper) and Meat and Animal Product Quality (1 paper). S. Yuan collaborates with scholars based in China. S. Yuan's co-authors include Donghui Huang, Xue Zhang, Shan Qian, Ling Li, Peiling Li, Yafei Kang, Jiaxing Zhang, Lin Chen, Xianchao Feng and Chenle Dong and has published in prestigious journals such as International Dairy Journal and Biomedicines.

In The Last Decade

S. Yuan

2 papers receiving 3 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h					Papers	Cites
S. Yuan China	2	2	1	1	1	2	3
H. Qin China	2	2 1.0×			1 1.0×	4	4
Andrew Rowan United Kingdom	2	2 1.0×				2	2
G. Hu China	1	2 1.0×				2	3
A. Tsingene United Kingdom	2	2 1.0×				2	2
C-Q. Li China	1	2 1.0×				3	2
Helen E. Eisenach United States	1	2 1.0×				2	2
Panos Roussos United States	1	2 1.0×				2	2
S.P. Wen China	2	2 1.0×				7	4
Peter Greb Austria	2	2 1.0×				3	3

Countries citing papers authored by S. Yuan

Since Specialization

Citations

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

Fields of papers citing papers by S. Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of S. Yuan. A scholar is included among the top collaborators of S. Yuan 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 S. Yuan. S. Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Qian, Shan, et al.. (2025). Effects of ultrasonic treatment on protein in goat milk: Changes in structure and function and enhancement of heat-sterilized protein function. International Dairy Journal. 166. 106224–106224. 2 indexed citations

2.

Kang, Yafei, Peiling Li, S. Yuan, et al.. (2025). Progress in Investigating the Impact of Obesity on Male Reproductive Function. Biomedicines. 13(9). 2054–2054. 1 indexed citations

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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