Mitsuhiro Yano

77 total papers · 452 total citations
49 papers, 322 citations indexed

About

Mitsuhiro Yano is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mitsuhiro Yano has authored 49 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Surgery, 28 papers in Cardiology and Cardiovascular Medicine and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mitsuhiro Yano's work include Cardiac Structural Anomalies and Repair (21 papers), Cardiac Valve Diseases and Treatments (20 papers) and Aortic Disease and Treatment Approaches (11 papers). Mitsuhiro Yano is often cited by papers focused on Cardiac Structural Anomalies and Repair (21 papers), Cardiac Valve Diseases and Treatments (20 papers) and Aortic Disease and Treatment Approaches (11 papers). Mitsuhiro Yano collaborates with scholars based in Japan and United States. Mitsuhiro Yano's co-authors include Kunihide Nakamura, Toshio Onitsuka, Yukifumi Nawa, Kinta Hatakeyama, Toshihiro Tsuruda, Yoshibumi Matsushima, Kazuo Kitamura, Fukumi Nakamura‐Uchiyama, Tanenao Eto and Takuroh Imamura and has published in prestigious journals such as SHILAP Revista de lepidopterología, Circulation Research and The Annals of Thoracic Surgery.

In The Last Decade

Mitsuhiro Yano

41 papers receiving 312 citations

Author Peers

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

Author						Papers	Cites
Mitsuhiro Yano	186	174	115	50	37	49	322
Ryuzo Bessho	142 0.8×	109 0.6×	182 1.6×	25 0.5×	19 0.5×	46	344
Mark Wheatcroft	146 0.8×	99 0.6×	76 0.7×	50 1.0×	21 0.6×	35	320
Andreas Mitsis	91 0.5×	150 0.9×	212 1.8×	70 1.4×	29 0.8×	48	337
Alan Soo	159 0.9×	87 0.5×	120 1.0×	45 0.9×	29 0.8×	35	345
Michalis Peroulis	108 0.6×	173 1.0×	107 0.9×	46 0.9×	47 1.3×	32	361
S. Keisin Wang	173 0.9×	233 1.3×	101 0.9×	33 0.7×	19 0.5×	39	347
Honglei Zhao	84 0.5×	97 0.6×	99 0.9×	26 0.5×	36 1.0×	36	327
Melanie Nies	114 0.6×	276 1.6×	127 1.1×	78 1.6×	19 0.5×	29	355
Jonas Amstrup Funder	188 1.0×	70 0.4×	167 1.5×	57 1.1×	11 0.3×	38	360
Kanji Matsuzaki	194 1.0×	79 0.5×	138 1.2×	39 0.8×	15 0.4×	42	309

Countries citing papers authored by Mitsuhiro Yano

Since Specialization

Citations

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

Fields of papers citing papers by Mitsuhiro Yano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuhiro Yano

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