Shuyi Si

111 total papers · 4.2k total citations
86 papers, 3.5k citations indexed

About

Shuyi Si is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Shuyi Si has authored 86 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 26 papers in Oncology and 24 papers in Surgery. Recurrent topics in Shuyi Si's work include Peroxisome Proliferator-Activated Receptors (21 papers), Cholesterol and Lipid Metabolism (17 papers) and Drug Transport and Resistance Mechanisms (16 papers). Shuyi Si is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (21 papers), Cholesterol and Lipid Metabolism (17 papers) and Drug Transport and Resistance Mechanisms (16 papers). Shuyi Si collaborates with scholars based in China, United States and Germany. Shuyi Si's co-authors include Zhuorong Li, Weijia Kong, Jing Wei, Yanni Xu, Jian‐Dong Jiang, Bin Hong, Meihong Lin, Yue Wang, Parveen Abidi and Shukui Wang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and PLoS ONE.

In The Last Decade

Shuyi Si

84 papers receiving 3.4k citations

Hit Papers

Berberine is a novel chol... 2004 2026 2011 2018 2004 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Shuyi Si 1.9k 1.3k 612 544 477 86 3.5k
Alfred W. Alberts 3.6k 1.9× 1.2k 0.9× 1.3k 2.1× 344 0.6× 403 0.8× 86 5.8k
David Bishop‐Bailey 3.1k 1.7× 1.7k 1.3× 704 1.2× 374 0.7× 949 2.0× 77 6.4k
Hye‐Kyung Na 3.4k 1.8× 700 0.5× 314 0.5× 472 0.9× 636 1.3× 106 5.9k
C.R. Pace-Asciak 2.0k 1.1× 1.7k 1.4× 515 0.8× 892 1.6× 195 0.4× 188 6.1k
Danqing Song 1.6k 0.8× 1.4k 1.1× 210 0.3× 684 1.3× 245 0.5× 158 3.6k
Franco O. Ranelletti 2.4k 1.3× 1.1k 0.8× 497 0.8× 228 0.4× 925 1.9× 127 6.0k
Yasuhiro Yamada 2.4k 1.2× 1.4k 1.1× 823 1.3× 279 0.5× 416 0.9× 105 5.7k
F.A. Fitzpatrick 1.8k 1.0× 1.4k 1.1× 269 0.4× 350 0.6× 424 0.9× 99 4.9k
Chin‐Wen Chi 1.5k 0.8× 669 0.5× 206 0.3× 386 0.7× 597 1.3× 80 3.0k
Ming‐Shi Shiao 2.5k 1.3× 1.6k 1.3× 282 0.5× 689 1.3× 739 1.5× 112 5.6k

Countries citing papers authored by Shuyi Si

Since Specialization
Citations

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

Fields of papers citing papers by Shuyi Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuyi Si

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