Shengli Yin

33 total papers · 729 total citations
21 papers, 533 citations indexed

About

Shengli Yin is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Shengli Yin has authored 21 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cardiology and Cardiovascular Medicine and 5 papers in Surgery. Recurrent topics in Shengli Yin's work include Electrospun Nanofibers in Biomedical Applications (4 papers), Cardiac Valve Diseases and Treatments (3 papers) and Epigenetics and DNA Methylation (2 papers). Shengli Yin is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (4 papers), Cardiac Valve Diseases and Treatments (3 papers) and Epigenetics and DNA Methylation (2 papers). Shengli Yin collaborates with scholars based in China, United States and Brazil. Shengli Yin's co-authors include Xuanhong Zhang, Xiaoying Lou, Jia Hu, Xiuting Sun, Fengqi Duan, Bin Luo, Hongyu Li, Cheng Zeng, Hongmei Tan and Monica Nistér and has published in prestigious journals such as Journal of the American College of Cardiology, BMC Public Health and The Annals of Thoracic Surgery.

In The Last Decade

Shengli Yin

19 papers receiving 526 citations

Hit Papers

NLRP3 inflammasome-mediat... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Shengli Yin 326 128 88 72 63 21 533
Andrea Grund 229 0.7× 140 1.1× 45 0.5× 78 1.1× 39 0.6× 17 447
Yabing Chen 230 0.7× 74 0.6× 170 1.9× 64 0.9× 104 1.7× 18 546
Zhipeng Yan 263 0.8× 78 0.6× 62 0.7× 53 0.7× 80 1.3× 22 465
Zena Huang 358 1.1× 64 0.5× 72 0.8× 59 0.8× 47 0.7× 26 616
Yuping Zhang 213 0.7× 66 0.5× 81 0.9× 55 0.8× 122 1.9× 25 536
Nabil A. Rashdan 192 0.6× 78 0.6× 46 0.5× 64 0.9× 58 0.9× 17 450
Yixiang Li 198 0.6× 66 0.5× 50 0.6× 77 1.1× 85 1.3× 25 536
Jie Yang 313 1.0× 120 0.9× 36 0.4× 52 0.7× 41 0.7× 16 482
Danbo Lu 384 1.2× 185 1.4× 52 0.6× 116 1.6× 62 1.0× 35 619
Marianne Wilhelmi 247 0.8× 72 0.6× 76 0.9× 60 0.8× 82 1.3× 13 546

Countries citing papers authored by Shengli Yin

Since Specialization
Citations

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

Fields of papers citing papers by Shengli Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengli Yin

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