Kunio Hirano
Impact in
-
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
- Epigenetics and DNA Methylation
Papers in
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- Pluripotent Stem Cells Research 11
- CRISPR and Genetic Engineering 10
- Renal and related cancers 6
-
- Blood Pressure and Hypertension Studies 4
- Co-authors
- Takashi Tada (11 shared papers)Shinpei Yamaguchi (5 shared papers)Justin Ainscough (4 shared papers)Hidetoshi Kotera (4 shared papers)Masato Nakagawa (2 shared papers)Akihiro Umezawa (1 shared paper)Liang Sun (1 shared paper)Shinya Yamanaka (1 shared paper)
- Journals
- Hypertension Research (4 papers)Genes to Cells (3 papers)Biochemical and Biophysical Research Communications (2 papers)PLoS ONE (2 papers)Developmental Biology (1 paper)
- Partner nations
- JapanUnited KingdomChina
In The Last Decade
Kunio Hirano
19 papers receiving 317 citations
Peers
Comparison fields: 5 of 47
- Molecular Biology 233
- Aging 5
- Endocrinology, Diabetes and Metabolism 28
- Genetics 16
- Developmental Neuroscience 6
Countries citing papers authored by Kunio Hirano
This map shows the geographic impact of Kunio Hirano'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 Kunio Hirano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunio Hirano more than expected).
Fields of papers citing papers by Kunio Hirano
This network shows the impact of papers produced by Kunio Hirano. 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 Kunio Hirano. The network helps show where Kunio Hirano may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunio Hirano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 68 | |
| 2 | 2010 | 49 | |
| 3 | 2012 | 33 | |
| 4 | 2014 | 28 | |
| 5 | 2017 | 26 | |
| 6 | 2011 | 19 | |
| 7 | 2015 | 17 | |
| 8 | 2024 | 14 | |
| 9 | 2024 | 14 | |
| 10 | 2014 | 13 | |
| 11 | 2012 | 11 | |
| 12 | 2016 | 7 | |
| 13 | 2025 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2011 | 1 |
About Kunio Hirano
Kunio Hirano is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 19 papers that have together received 319 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (10 papers), Renal and related cancers (6 papers), 3D Printing in Biomedical Research (5 papers), Sodium Intake and Health (4 papers), Blood Pressure and Hypertension Studies (4 papers), Hormonal Regulation and Hypertension (4 papers) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Molecular Biology (233 citations), Aging (5 citations), Endocrinology, Diabetes and Metabolism (28 citations), Genetics (16 citations) and Developmental Neuroscience (6 citations). Kunio Hirano has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Takashi Tada, Shinpei Yamaguchi, Justin Ainscough, Hidetoshi Kotera, Masato Nakagawa, Akihiro Umezawa, Liang Sun, Shinya Yamanaka, Takao Kuroda and Hajime Okita. Their work appears in journals such as Hypertension Research, Genes to Cells, Biochemical and Biophysical Research Communications, PLoS ONE and Developmental Biology.
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.