Yasuhiro Akazawa

667 citations
19 papers · 494 indexed · 1 hit paper · h-index 6
Topics
Cardiac Structural Anomalies and Repair (4 papers)Coronary Interventions and Diagnostics (3 papers)Congenital Heart Disease Studies (2 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaScientific Reports

In The Last Decade

Yasuhiro Akazawa

13 papers receiving 487 citations

Hit Papers

Bcl-2-like protein 13 is a mammalian Atg32 homologue that...20152026201820222015100200300

Peers

Yasuhiro Akazawa
Comparison fields: 5 of 59
  • Epidemiology 329
  • Molecular Biology 278
  • Physiology 65
  • Surgery 59
  • Cell Biology 57
Replace Marius Fărcaş with:
Marius Fărcaş Romania
Eric Song United States
David Groff United States
Jeong A Choi South Korea
Chigure Suzuki Japan
Omar Sadiq United States
Jared T. Field Canada
Cristian Sotomayor-Flores Chile
Jason Fan United States
Yasuhiro Akazawa relative to Marius Fărcaş Romania Marius Fărcaş's profile →
Citations per field
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Marius Fărcaş · 1×
Citations per year

Countries citing papers authored by Yasuhiro Akazawa

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhiro Akazawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuhiro Akazawa

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 0
5 0
6 3
7 0
8 1
9 1
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11 5
12 29
13
Bcl-2-like protein 13 is a mammalian Atg32 homologue that mediates mitophagy and mitochondrial fragmentationbreakdown →
390
14 15
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16 10
17 26
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About Yasuhiro Akazawa

Yasuhiro Akazawa is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Physiology, having authored 19 papers that have together received 494 indexed citations. Recurring topics across this work include Cardiac Structural Anomalies and Repair (4 papers), Coronary Interventions and Diagnostics (3 papers) and Congenital Heart Disease Studies (2 papers). The work is most often cited by research in Epidemiology (329 citations), Physiology (33 citations) and Geriatrics and Gerontology (28 citations). Yasuhiro Akazawa has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Yasushi Sakata, Manabu Taneike, Shigemiki Omiya, Hiroyuki Nakayama, Kinya Otsu, Tomokazu Murakawa, Hiromichi Ueda, Osamu Yamaguchi, Akitsugu Yamamoto and Ajay M. Shah. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

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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