Hiroshi Yanagawa
- Surgery top 0.2%
- Molecular Biology top 1%
- Pulmonary and Respiratory Medicine top 0.2%
- Cardiology and Cardiovascular Medicine top 1%
- Public Health, Environmental and Occupational Health top 2%
- Co-authors
- Yosikazu NakamuraTomisaku KawasakiMasaru TomitaShunichi KosugiMasako HasebeMayumi YashiroI ShigematsuNobuhide Doi
- Topics
- Kawasaki Disease and Coronary Complications (103 papers)Coronary Artery Anomalies (65 papers)Cardiovascular Issues in Pregnancy (32 papers)
- Partner nations
- JapanIndiaUnited States
In The Last Decade
Hiroshi Yanagawa
331 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Surgery 5.7k
- Molecular Biology 4.4k
- Pulmonary and Respiratory Medicine 4.3k
- Cardiology and Cardiovascular Medicine 1.8k
- Public Health, Environmental and Occupational Health 858
Countries citing papers authored by Hiroshi Yanagawa
This map shows the geographic impact of Hiroshi Yanagawa'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 Hiroshi Yanagawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Yanagawa more than expected).
Fields of papers citing papers by Hiroshi Yanagawa
This network shows the impact of papers produced by Hiroshi Yanagawa. 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 Hiroshi Yanagawa. The network helps show where Hiroshi Yanagawa may publish in the future.
Co-authorship network of co-authors of Hiroshi Yanagawa
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Yanagawa. A scholar is included among the top collaborators of Hiroshi Yanagawa 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 Hiroshi Yanagawa. Hiroshi Yanagawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 13 | |
| 4 | 143 | |
| 5 | 14 | |
| 6 | 213 | |
| 7 | 21 | |
| 8 | Cumulative Incidence of Cardiac Sequelae Due to Kawasaki Disease According to Patients' Birth Year Cohort | 1 |
| 9 | 104 | |
| 10 | 4 | |
| 11 | A genome wide search for Kawasaki disease susceptibility genes | 1 |
| 12 | 20 | |
| 13 | 4 | |
| 14 | 20 | |
| 15 | 344 | |
| 16 | 22 | |
| 17 | [Prevalence estimates for non-insulin dependent diabetes mellitus (NIDDM) in Japan from National Survey of Circulatory Disorders 1990 data]. | 4 |
| 18 | 34 | |
| 19 | 17 | |
| 20 | 1 |
About Hiroshi Yanagawa
Hiroshi Yanagawa is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Biochemistry, having authored 344 papers that have together received 12.5k indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (103 papers), Coronary Artery Anomalies (65 papers) and Cardiovascular Issues in Pregnancy (32 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (4.3k citations), Surgery (5.7k citations) and Cardiology and Cardiovascular Medicine (1.8k citations). Hiroshi Yanagawa has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Yosikazu Nakamura, Tomisaku Kawasaki, Masaru Tomita, Shunichi Kosugi, Masako Hasebe, Mayumi Yashiro, I Shigematsu, Nobuhide Doi, Ritei Uehara and Etsuko Miyamoto‐Sato. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.