Shouxin Yan

10 total papers · 401 total citations
8 papers, 310 citations indexed

About

Shouxin Yan is a scholar working on Nutrition and Dietetics, Biomaterials and Food Science. According to data from OpenAlex, Shouxin Yan has authored 8 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nutrition and Dietetics, 4 papers in Biomaterials and 4 papers in Food Science. Recurrent topics in Shouxin Yan's work include Food composition and properties (5 papers), Polysaccharides Composition and Applications (4 papers) and Nanocomposite Films for Food Packaging (4 papers). Shouxin Yan is often cited by papers focused on Food composition and properties (5 papers), Polysaccharides Composition and Applications (4 papers) and Nanocomposite Films for Food Packaging (4 papers). Shouxin Yan collaborates with scholars based in China, Türkiye and Egypt. Shouxin Yan's co-authors include Bo Cui, A.M. Abd El‐Aty, Xuemin Kang, Wei Gao, Yuqing Dong, Pengfei Liu, Bin Yu, Bin Wang, Li Guo and Bin Wang and has published in prestigious journals such as Food Chemistry, Food Hydrocolloids and International Journal of Biological Macromolecules.

In The Last Decade

Shouxin Yan

8 papers receiving 306 citations

Author Peers

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

Author Last Decade Papers Cites
Shouxin Yan 204 159 108 58 21 8 310
Chandroth Kalyad Simi 104 0.5× 146 0.9× 141 1.3× 69 1.2× 51 2.4× 8 364
Yograj Bist 108 0.5× 135 0.8× 74 0.7× 45 0.8× 23 1.1× 24 251
Keerthi Sasikumar 101 0.5× 145 0.9× 84 0.8× 84 1.4× 55 2.6× 12 320
Julia Compart 145 0.7× 108 0.7× 78 0.7× 80 1.4× 54 2.6× 13 324
Prafull Chavan 99 0.5× 136 0.9× 214 2.0× 83 1.4× 15 0.7× 12 325
A.R. Mukurumbira 78 0.4× 164 1.0× 184 1.7× 77 1.3× 23 1.1× 6 325
Fabiana Torma Botelho 154 0.8× 195 1.2× 44 0.4× 51 0.9× 15 0.7× 7 334
Hana Mohd Zaini 96 0.5× 182 1.1× 42 0.4× 69 1.2× 35 1.7× 18 364
C. Roldan-Cruz 165 0.8× 228 1.4× 37 0.3× 35 0.6× 26 1.2× 15 352
Farhana Mehraj Allai 109 0.5× 159 1.0× 55 0.5× 82 1.4× 31 1.5× 19 354

Countries citing papers authored by Shouxin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Shouxin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shouxin Yan

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