Jun Yasuhara

62 total papers · 1.5k total citations
31 papers, 782 citations indexed

About

Jun Yasuhara is a scholar working on Epidemiology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jun Yasuhara has authored 31 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 12 papers in Surgery and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jun Yasuhara's work include Congenital Heart Disease Studies (11 papers), Kawasaki Disease and Coronary Complications (7 papers) and Congenital heart defects research (5 papers). Jun Yasuhara is often cited by papers focused on Congenital Heart Disease Studies (11 papers), Kawasaki Disease and Coronary Complications (7 papers) and Congenital heart defects research (5 papers). Jun Yasuhara collaborates with scholars based in United States, Japan and Australia. Jun Yasuhara's co-authors include Toshiki Kuno, Hisato Takagi, Naokata Sumitomo, Atsuyuki Watanabe, Masao Iwagami, Vidu Garg, Kae Watanabe, Uddalak Majumdar, Takuro Shirasu and Hiroyuki Yamagishi and has published in prestigious journals such as Annals of Surgery, The American Journal of Cardiology and Cold Spring Harbor Perspectives in Biology.

In The Last Decade

Jun Yasuhara

30 papers receiving 759 citations

Hit Papers

Protective effect of COVI... 2023 2026 2024 2023 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Jun Yasuhara 328 232 183 175 156 31 782
Axel Moreira 447 1.4× 421 1.8× 132 0.7× 100 0.6× 187 1.2× 14 870
Shiraz A. Maskatia 314 1.0× 310 1.3× 98 0.5× 167 1.0× 160 1.0× 15 743
Roshni Mathew 434 1.3× 284 1.2× 104 0.6× 87 0.5× 122 0.8× 19 725
Michaël Levy 245 0.7× 404 1.7× 57 0.3× 154 0.9× 127 0.8× 62 809
Shivanand Medar 317 1.0× 333 1.4× 75 0.4× 83 0.5× 151 1.0× 22 626
Alexis Boneparth 268 0.8× 370 1.6× 95 0.5× 44 0.3× 109 0.7× 22 721
Yongsheng Xu 355 1.1× 138 0.6× 72 0.4× 243 1.4× 142 0.9× 35 773
Eva W. Cheung 284 0.9× 511 2.2× 69 0.4× 116 0.7× 204 1.3× 33 754
Clément Poirault 401 1.2× 527 2.3× 102 0.6× 59 0.3× 165 1.1× 13 763
Chunquan Cai 341 1.0× 112 0.5× 73 0.4× 120 0.7× 97 0.6× 24 662

Countries citing papers authored by Jun Yasuhara

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yasuhara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yasuhara

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