Suhong Yu

40 total papers · 1.0k total citations
31 papers, 770 citations indexed

About

Suhong Yu is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Suhong Yu has authored 31 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Oncology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Suhong Yu's work include RNA Interference and Gene Delivery (6 papers), Advanced biosensing and bioanalysis techniques (6 papers) and ECG Monitoring and Analysis (4 papers). Suhong Yu is often cited by papers focused on RNA Interference and Gene Delivery (6 papers), Advanced biosensing and bioanalysis techniques (6 papers) and ECG Monitoring and Analysis (4 papers). Suhong Yu collaborates with scholars based in China, United States and Japan. Suhong Yu's co-authors include Lee Jia, Jingwei Shao, Yu Gao, Jichuang Wang, Yusheng Lu, Ronald T. Wakai, Jingjing Xie, Bettina F. Cuneo, Ting Yu and Jianguo Xu and has published in prestigious journals such as Circulation, Cancer and Scientific Reports.

In The Last Decade

Suhong Yu

31 papers receiving 763 citations

Author Peers

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

Author Last Decade Papers Cites
Suhong Yu 379 217 123 105 102 31 770
Cathy Malcontenti‐Wilson 250 0.7× 127 0.6× 78 0.6× 95 0.9× 92 0.9× 32 802
Brooke M. Rock 367 1.0× 200 0.9× 67 0.5× 59 0.6× 95 0.9× 29 766
Joyce K. Randolph 415 1.1× 319 1.5× 90 0.7× 57 0.5× 70 0.7× 23 780
Oliver Pötz 483 1.3× 113 0.5× 52 0.4× 86 0.8× 100 1.0× 37 881
Katarzyna Kania 433 1.1× 260 1.2× 180 1.5× 40 0.4× 46 0.5× 35 835
Holger Bartsch 337 0.9× 241 1.1× 117 1.0× 59 0.6× 109 1.1× 47 846
Hong Lou 355 0.9× 286 1.3× 64 0.5× 43 0.4× 76 0.7× 31 852
Zhe Lin 357 0.9× 107 0.5× 130 1.1× 28 0.3× 71 0.7× 43 814
Yumiko Hirokawa 527 1.4× 271 1.2× 61 0.5× 34 0.3× 47 0.5× 31 907
Xiaomeng Shen 458 1.2× 95 0.4× 92 0.7× 82 0.8× 32 0.3× 30 748

Countries citing papers authored by Suhong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Suhong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhong Yu

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