Takayoshi Hirota
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- Cardiomyopathy and Myosin Studies 34
- Cardiovascular Effects of Exercise 14
- Cardiovascular Function and Risk Factors 12
- Viral Infections and Immunology Research 12
- Cardiac Arrhythmias and Treatments 5
- Developmental Neuroscience top 10%
- Nephrology top 10%
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- Trypanosoma species research and implications 10
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- Amyloidosis: Diagnosis, Treatment, Outcomes 11
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- Sarcoidosis and Beryllium Toxicity Research 5
- Co-authors
- Hiroaki KitaokaToru KuboNaohito YamasakiYoshinori DoiYuichi BabaYoshihisa MatsumuraMakoto OkawaKayo Hayato
- Partner nations
- JapanUnited States
In The Last Decade
Takayoshi Hirota
50 papers receiving 849 citations
Peers
Comparison fields: 5 of 52
- Cardiology and Cardiovascular Medicine 687
- Developmental Neuroscience 44
- Nephrology 44
- Epidemiology 138
- Rheumatology 48
Countries citing papers authored by Takayoshi Hirota
This map shows the geographic impact of Takayoshi Hirota'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 Takayoshi Hirota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takayoshi Hirota more than expected).
Fields of papers citing papers by Takayoshi Hirota
This network shows the impact of papers produced by Takayoshi Hirota. 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 Takayoshi Hirota. The network helps show where Takayoshi Hirota may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takayoshi Hirota, 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 | 2024 | 3 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 6 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 15 | |
| 9 | 2020 | 9 | |
| 10 | 2019 | 6 | |
| 11 | 2019 | 15 | |
| 12 | 2019 | 11 | |
| 13 | Abstract 12143: A Validation Study of Phenotype-guided Genetic Testing Using the Mayo HCM Genotype Predictor Score for Japanese Patients With Hypertrophic Cardiomyopathy | 2017 | 1 |
| 14 | An Abnormal Serum Concentration of High-sensitivity Cardiac Troponin T is Associated with Progression of Left Ventricular Remodeling in Hypertrophic Cardiomyopathy | 2016 | 5 |
| 15 | 2016 | 27 | |
| 16 | 2015 | 11 | |
| 17 | 2013 | 114 | |
| 18 | 2010 | 13 | |
| 19 | 2009 | 16 | |
| 20 | 2008 | 20 |
About Takayoshi Hirota
Takayoshi Hirota is a scholar working on Cardiology and Cardiovascular Medicine, Developmental Neuroscience and Nephrology, having authored 54 papers that have together received 858 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (34 papers), Cardiovascular Effects of Exercise (14 papers), Cardiovascular Function and Risk Factors (12 papers), Viral Infections and Immunology Research (12 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (11 papers), Trypanosoma species research and implications (10 papers), Cardiac Arrhythmias and Treatments (5 papers) and Sarcoidosis and Beryllium Toxicity Research (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (687 citations), Developmental Neuroscience (44 citations) and Nephrology (44 citations). Takayoshi Hirota has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroaki Kitaoka, Toru Kubo, Naohito Yamasaki, Yoshinori Doi, Yuichi Baba, Yoshihisa Matsumura, Makoto Okawa, Kayo Hayato, Toshikazu Yabe and Shigeo Yamanaka.
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.