Suhua Yan

36 total papers · 504 total citations
32 papers, 407 citations indexed

About

Suhua Yan is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Suhua Yan has authored 32 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 13 papers in Molecular Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Suhua Yan's work include Heart Rate Variability and Autonomic Control (7 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Nerve injury and regeneration (5 papers). Suhua Yan is often cited by papers focused on Heart Rate Variability and Autonomic Control (7 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Nerve injury and regeneration (5 papers). Suhua Yan collaborates with scholars based in China, Australia and United States. Suhua Yan's co-authors include Hesheng Hu, Wenjuan Cheng, Yugen Shi, Yongli Xuan, Mei Xue, Xiaolu Li, Jie Yin, Mei Xue, Xiaotian Chang and Lin Wang and has published in prestigious journals such as Free Radical Biology and Medicine, Gene and Journal of Molecular and Cellular Cardiology.

In The Last Decade

Suhua Yan

31 papers receiving 404 citations

Author Peers

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

Author Last Decade Papers Cites
Suhua Yan 201 137 65 65 52 32 407
Javier A. Gomez 178 0.9× 112 0.8× 48 0.7× 54 0.8× 22 0.4× 37 385
Mingqi Zheng 237 1.2× 158 1.2× 56 0.9× 64 1.0× 50 1.0× 63 460
Ben He 150 0.7× 92 0.7× 59 0.9× 80 1.2× 45 0.9× 28 442
Qi Ma 184 0.9× 66 0.5× 94 1.4× 56 0.9× 39 0.8× 31 462
Ming‐Ming Wu 281 1.4× 73 0.5× 38 0.6× 46 0.7× 98 1.9× 32 464
Changqing Du 229 1.1× 135 1.0× 37 0.6× 88 1.4× 20 0.4× 36 457
Wiktor Koziołkiewicz 152 0.8× 105 0.8× 29 0.4× 31 0.5× 61 1.2× 24 459
PL Weissberg 269 1.3× 110 0.8× 38 0.6× 44 0.7× 47 0.9× 19 431
Masaaki Iwabayashi 179 0.9× 100 0.7× 44 0.7× 81 1.2× 21 0.4× 24 439
Asako Kumagai 166 0.8× 67 0.5× 62 1.0× 98 1.5× 19 0.4× 26 434

Countries citing papers authored by Suhua Yan

Since Specialization
Citations

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

Fields of papers citing papers by Suhua Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhua Yan

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