Shan Jin

79 total papers · 956 total citations
49 papers, 642 citations indexed

About

Shan Jin is a scholar working on Immunology, Molecular Biology and Dermatology. According to data from OpenAlex, Shan Jin has authored 49 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 16 papers in Molecular Biology and 12 papers in Dermatology. Recurrent topics in Shan Jin's work include Aquaculture disease management and microbiota (11 papers), Dermatology and Skin Diseases (8 papers) and Invertebrate Immune Response Mechanisms (6 papers). Shan Jin is often cited by papers focused on Aquaculture disease management and microbiota (11 papers), Dermatology and Skin Diseases (8 papers) and Invertebrate Immune Response Mechanisms (6 papers). Shan Jin collaborates with scholars based in China, South Korea and United States. Shan Jin's co-authors include Suming Zhou, Dong Won Lee, Jiasong Xie, Liangchang Li, Guanghai Yan, Chang Ook Park, Fan Fan, Wei Fan, Qimin Zhan and Ting Tong and has published in prestigious journals such as Circulation Research, Journal of Agricultural and Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Shan Jin

44 papers receiving 630 citations

Author Peers

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

Author Last Decade Papers Cites
Shan Jin 254 216 103 66 63 49 642
Rajkumar Ramalingam 91 0.4× 270 1.3× 35 0.3× 25 0.4× 46 0.7× 48 739
Dong-Heui Kim 72 0.3× 93 0.4× 79 0.8× 32 0.5× 57 0.9× 70 637
Neil J. Poloso 279 1.1× 299 1.4× 29 0.3× 27 0.4× 67 1.1× 22 711
Denis Khnykin 131 0.5× 312 1.4× 158 1.5× 47 0.7× 47 0.7× 26 652
Chi‐Young Yun 91 0.4× 240 1.1× 89 0.9× 109 1.7× 143 2.3× 50 749
Yuhong Shi 185 0.7× 297 1.4× 17 0.2× 31 0.5× 42 0.7× 43 761
Kun Guo 148 0.6× 270 1.3× 92 0.9× 11 0.2× 55 0.9× 49 693
Klara Miller 137 0.5× 85 0.4× 52 0.5× 70 1.1× 62 1.0× 34 769
Zhirong Fu 369 1.5× 205 0.9× 31 0.3× 140 2.1× 83 1.3× 35 646
Aijun Chen 101 0.4× 190 0.9× 140 1.4× 83 1.3× 97 1.5× 47 680

Countries citing papers authored by Shan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Shan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Jin

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