Hua Shen

57 total papers · 558 total citations
25 papers, 305 citations indexed

About

Hua Shen is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, Hua Shen has authored 25 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 8 papers in Surgery and 7 papers in Epidemiology. Recurrent topics in Hua Shen's work include Cardiac Valve Diseases and Treatments (5 papers), Coronary Interventions and Diagnostics (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Hua Shen is often cited by papers focused on Cardiac Valve Diseases and Treatments (5 papers), Coronary Interventions and Diagnostics (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Hua Shen collaborates with scholars based in China and United States. Hua Shen's co-authors include Yujie Zhou, Jingrui Zhang, Tienan Sun, Qianyun Guo, Jiaqi Yang, Songming Huang, Aihua Zhang, Song Mao, Fei Gao and Gertrude Case Buehring and has published in prestigious journals such as Journal of the American College of Cardiology, Cancer and BioMed Research International.

In The Last Decade

Hua Shen

24 papers receiving 294 citations

Author Peers

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

Author Last Decade Papers Cites
Hua Shen 96 88 60 49 45 25 305
Erdem Çevik 44 0.5× 61 0.7× 63 1.1× 30 0.6× 40 0.9× 33 313
Xueqin Lin 134 1.4× 123 1.4× 61 1.0× 46 0.9× 77 1.7× 31 356
Teeranan Angkananard 108 1.1× 99 1.1× 50 0.8× 134 2.7× 41 0.9× 17 364
Darrell B. Newman 83 0.9× 217 2.5× 93 1.6× 42 0.9× 33 0.7× 37 335
Serkan Akdağ 74 0.8× 190 2.2× 63 1.1× 21 0.4× 41 0.9× 38 304
Angela Moh 53 0.6× 66 0.8× 39 0.7× 71 1.4× 46 1.0× 30 361
Piernicola Pelliccia 47 0.5× 48 0.5× 81 1.4× 27 0.6× 74 1.6× 26 366
Paola Noto 72 0.8× 81 0.9× 35 0.6× 47 1.0× 89 2.0× 17 303
Erkan Şengül 82 0.9× 49 0.6× 50 0.8× 55 1.1× 61 1.4× 30 350
Süha Asal 37 0.4× 123 1.4× 35 0.6× 35 0.7× 32 0.7× 19 253

Countries citing papers authored by Hua Shen

Since Specialization
Citations

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

Fields of papers citing papers by Hua Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Shen

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