Juan Shen

60 total papers · 757 total citations
42 papers, 563 citations indexed

About

Juan Shen is a scholar working on Molecular Biology, Food Science and Plant Science. According to data from OpenAlex, Juan Shen has authored 42 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Food Science and 7 papers in Plant Science. Recurrent topics in Juan Shen's work include Antimicrobial Peptides and Activities (5 papers), Peptidase Inhibition and Analysis (3 papers) and Proteins in Food Systems (3 papers). Juan Shen is often cited by papers focused on Antimicrobial Peptides and Activities (5 papers), Peptidase Inhibition and Analysis (3 papers) and Proteins in Food Systems (3 papers). Juan Shen collaborates with scholars based in China, Hong Kong and Brunei. Juan Shen's co-authors include Xiaobao Jin, Xuemei Lu, Yurong Bi, Lixin Zhang, Fujiang Chu, Zhiguo Zhang, Wei Ding, Lili Song, Zhaoxin Lu and Yuping Tang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Juan Shen

40 papers receiving 557 citations

Author Peers

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

Author Last Decade Papers Cites
Juan Shen 254 167 62 58 57 42 563
Yifeng Deng 284 1.1× 199 1.2× 43 0.7× 86 1.5× 57 1.0× 30 689
Ana Patrícia Silva de Oliveira 220 0.9× 272 1.6× 45 0.7× 100 1.7× 71 1.2× 36 568
Bomin Kim 331 1.3× 147 0.9× 60 1.0× 97 1.7× 24 0.4× 41 592
Eun-Hee Park 244 1.0× 116 0.7× 47 0.8× 142 2.4× 59 1.0× 35 589
Y. Ohshima 257 1.0× 187 1.1× 24 0.4× 82 1.4× 91 1.6× 55 645
Chiy‐Rong Chen 224 0.9× 143 0.9× 36 0.6× 42 0.7× 46 0.8× 38 535
Debasish Kumar Dey 290 1.1× 182 1.1× 52 0.8× 71 1.2× 62 1.1× 31 617
Alana de Freitas Pires 238 0.9× 128 0.8× 50 0.8× 69 1.2× 117 2.1× 25 552
Krishnaraj Thirugnanasambantham 314 1.2× 149 0.9× 57 0.9× 61 1.1× 53 0.9× 47 640
Daniela de Oliveira Toyama 321 1.3× 104 0.6× 43 0.7× 53 0.9× 67 1.2× 22 690

Countries citing papers authored by Juan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Juan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Shen

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