Kazuhiko Hashimura

47 papers receiving 816 citations

Peers

Kazuhiko Hashimura
Comparison fields: 5 of 88
  • Cardiology and Cardiovascular Medicine 375
  • Surgery 220
  • Molecular Biology 162
  • Endocrinology, Diabetes and Metabolism 149
  • Biomedical Engineering 119
Replace Giuseppina Nicolini with:
Giuseppina Nicolini Italy
Joji Nitobe Japan
Damian Craig United States
Massimiliano Mancini Italy
Masahiro Koide Japan
Malha Sadoune France
Dirk Jan van Veldhuisen Netherlands
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Koichi Sohmiya Japan
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Citations per field
00.5×9.9×
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Citations per year

Countries citing papers authored by Kazuhiko Hashimura

Since Specialization
Citations

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

Fields of papers citing papers by Kazuhiko Hashimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuhiko Hashimura

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhiko Hashimura. A scholar is included among the top collaborators of Kazuhiko Hashimura 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 Kazuhiko Hashimura. Kazuhiko Hashimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 17
2 6
3 17
4 20
5 44
6 2
7 4
8 54
9
Acute myocardial infarction due to thrombosis in the right sinus of Valsalva in a young woman
0
10 6
11 16
12
Abstract 2948: Sustained After-Effects of Carperitide, Atrial Natriuretic Peptide, on Left Ventricle Diastolic Filling and Inflammatory Cytokines in Idiopathic Dilated Cardiomyopathy
1
13 79
14 17
15 31
16 113
17 28
18 3
19 7
20 2

About Kazuhiko Hashimura

Kazuhiko Hashimura is a scholar working on Cardiology and Cardiovascular Medicine, Family Practice and Transplantation, having authored 48 papers that have together received 840 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (9 papers), Cardiac Structural Anomalies and Repair (9 papers) and Transplantation: Methods and Outcomes (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (375 citations), Endocrinology, Diabetes and Metabolism (149 citations) and Transplantation (17 citations). Kazuhiko Hashimura has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Masafumi Kitakaze, Hideaki Kanzaki, Kazuo Komamura, Masanori Asakura, Jiyoong Kim, Satoshi Nakatani, Noboru Oda, Krishnankutty Sudhir, Maro R. I. Williams and Shanhong Ling. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and The Journal of Clinical Endocrinology & Metabolism.

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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