Yun Shen

30 total papers · 638 total citations
25 papers, 530 citations indexed

About

Yun Shen is a scholar working on Molecular Biology, Plant Science and Organic Chemistry. According to data from OpenAlex, Yun Shen has authored 25 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Plant Science and 5 papers in Organic Chemistry. Recurrent topics in Yun Shen's work include Phytochemistry and Biological Activities (6 papers), Natural product bioactivities and synthesis (6 papers) and Bioactive Natural Diterpenoids Research (4 papers). Yun Shen is often cited by papers focused on Phytochemistry and Biological Activities (6 papers), Natural product bioactivities and synthesis (6 papers) and Bioactive Natural Diterpenoids Research (4 papers). Yun Shen collaborates with scholars based in China, United States and Russia. Yun Shen's co-authors include Jun Wang, Xue Yan, Mingxiao Di, Ying Hu, Chuan‐Feng Chen, Weidong Zhang, Yueling Qi, Fei Zeng, Shi Yan and Hui Jin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Chromatography A and Soft Matter.

In The Last Decade

Yun Shen

24 papers receiving 517 citations

Author Peers

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

Author Last Decade Papers Cites
Yun Shen 230 119 111 92 83 25 530
Amanda Pacholak 233 1.0× 102 0.9× 76 0.7× 37 0.4× 31 0.4× 30 458
Jiamin Xu 359 1.6× 82 0.7× 106 1.0× 19 0.2× 72 0.9× 41 607
Mengru Wu 195 0.8× 91 0.8× 53 0.5× 66 0.7× 158 1.9× 26 536
Ashif Sajjad 163 0.7× 74 0.6× 104 0.9× 70 0.8× 67 0.8× 25 574
Marcella de Champdoré 230 1.0× 178 1.5× 60 0.5× 112 1.2× 89 1.1× 16 571
Zhao Chen 220 1.0× 63 0.5× 168 1.5× 97 1.1× 87 1.0× 34 562
Eliane Carvalho de Vasconcelos 277 1.2× 49 0.4× 113 1.0× 24 0.3× 58 0.7× 36 572
Gloria I. Lucchesi 173 0.8× 202 1.7× 111 1.0× 60 0.7× 50 0.6× 35 582
Suresh Kumarasamy 125 0.5× 88 0.7× 44 0.4× 60 0.7× 28 0.3× 40 448
Elena Porzio 234 1.0× 275 2.3× 102 0.9× 41 0.4× 21 0.3× 28 588

Countries citing papers authored by Yun Shen

Since Specialization
Citations

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

Fields of papers citing papers by Yun Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Shen

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