Shuangyan Tan

33 total papers · 1.5k total citations
10 papers, 434 citations indexed

About

Shuangyan Tan is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Shuangyan Tan has authored 10 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cancer Research and 1 paper in Surgery. Recurrent topics in Shuangyan Tan's work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (5 papers) and Cancer-related molecular mechanisms research (4 papers). Shuangyan Tan is often cited by papers focused on MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (5 papers) and Cancer-related molecular mechanisms research (4 papers). Shuangyan Tan collaborates with scholars based in China and Ethiopia. Shuangyan Tan's co-authors include Yong Peng, Chengdi Wang, Weimin Li, Wenrong Liu, Jingwei Li, Yuquan Wei, Wenchen Pu, Qiheng Gou, Lunxu Liu and Jiao Jiao Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Molecular Cancer.

In The Last Decade

Shuangyan Tan

8 papers receiving 429 citations

Author Peers

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

Author Last Decade Papers Cites
Shuangyan Tan 372 318 33 28 21 10 434
Linfeng Zhan 322 0.9× 274 0.9× 9 0.3× 23 0.8× 21 1.0× 9 489
Tiefang Song 309 0.8× 259 0.8× 6 0.2× 17 0.6× 25 1.2× 11 368
Zhicong Liao 320 0.9× 282 0.9× 9 0.3× 20 0.7× 31 1.5× 12 422
Audrey T. Moynihan 198 0.5× 212 0.7× 59 1.8× 15 0.5× 25 1.2× 7 431
Candi Trac 351 0.9× 226 0.7× 37 1.1× 26 0.9× 17 0.8× 10 467
Xiaojing Lin 352 0.9× 241 0.8× 17 0.5× 17 0.6× 28 1.3× 14 458
Junyi Yu 286 0.8× 258 0.8× 16 0.5× 15 0.5× 14 0.7× 9 406
Aleksandra Krupa 355 1.0× 251 0.8× 9 0.3× 24 0.9× 20 1.0× 8 482
Richard Sallari 349 0.9× 207 0.7× 18 0.5× 22 0.8× 52 2.5× 9 481
Samantha Sevilla 331 0.9× 193 0.6× 15 0.5× 10 0.4× 17 0.8× 7 448

Countries citing papers authored by Shuangyan Tan

Since Specialization
Citations

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

Fields of papers citing papers by Shuangyan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuangyan Tan

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