Jianyan Wen

62 total papers · 1.6k total citations
54 papers, 1.1k citations indexed

About

Jianyan Wen is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Jianyan Wen has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 19 papers in Pulmonary and Respiratory Medicine and 12 papers in Surgery. Recurrent topics in Jianyan Wen's work include Pulmonary Hypertension Research and Treatments (7 papers), Cardiovascular Disease and Adiposity (6 papers) and Vascular Malformations Diagnosis and Treatment (5 papers). Jianyan Wen is often cited by papers focused on Pulmonary Hypertension Research and Treatments (7 papers), Cardiovascular Disease and Adiposity (6 papers) and Vascular Malformations Diagnosis and Treatment (5 papers). Jianyan Wen collaborates with scholars based in China, United States and Canada. Jianyan Wen's co-authors include Johnson Wong, Wenqiang Liao, Natalia G. Kan, Huei-Sheng Vincent Chen, Joseph E. Marine, Teresa C. Leone, Shirong Wang, Daniel P. Judge, Prem Puri and Daniel P. Kelly and has published in prestigious journals such as Nature, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Jianyan Wen

52 papers receiving 1.1k citations

Hit Papers

Studying arrhythmogenic r... 2013 2026 2017 2021 2013 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Jianyan Wen 567 352 186 143 115 54 1.1k
Mengjun Wang 399 0.7× 452 1.3× 225 1.2× 175 1.2× 87 0.8× 66 1.3k
Chenying Fu 552 1.0× 262 0.7× 231 1.2× 91 0.6× 77 0.7× 48 1.3k
Qian Fan 627 1.1× 441 1.3× 208 1.1× 122 0.9× 56 0.5× 48 1.3k
Hiroyuki Yaoita 621 1.1× 574 1.6× 248 1.3× 105 0.7× 68 0.6× 52 1.4k
Markus Theurl 330 0.6× 249 0.7× 182 1.0× 81 0.6× 161 1.4× 47 1.1k
Minsuk Kim 448 0.8× 368 1.0× 268 1.4× 139 1.0× 68 0.6× 41 1.2k
Yan Sun 417 0.7× 286 0.8× 251 1.3× 154 1.1× 78 0.7× 75 1.3k
Peter Kang 438 0.8× 389 1.1× 132 0.7× 164 1.1× 51 0.4× 37 1.4k
Rui Ni 641 1.1× 241 0.7× 187 1.0× 151 1.1× 85 0.7× 42 1.2k
Linghong Shen 447 0.8× 168 0.5× 194 1.0× 141 1.0× 101 0.9× 74 1.2k

Countries citing papers authored by Jianyan Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jianyan Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianyan Wen

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