Hiroshi Komoda
- Surgery top 5%
- Molecular Biology
- Immunology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Koichi NodeTeruo InoueToshihiko UchidaJun‐ichi OyamaNorihiko KotookaAya ShirakiYoshiki SawaToshinori Ito
- Topics
- Pancreatic function and diabetes (14 papers)Diabetes and associated disorders (9 papers)Xenotransplantation and immune response (9 papers)
- Partner nations
- JapanSaudi ArabiaUnited States
In The Last Decade
Hiroshi Komoda
47 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 119
- Surgery 722
- Molecular Biology 512
- Immunology 286
- Cardiology and Cardiovascular Medicine 276
- Endocrinology, Diabetes and Metabolism 272
Countries citing papers authored by Hiroshi Komoda
This map shows the geographic impact of Hiroshi Komoda'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 Komoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Komoda more than expected).
Fields of papers citing papers by Hiroshi Komoda
This network shows the impact of papers produced by Hiroshi Komoda. 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 Komoda. The network helps show where Hiroshi Komoda may publish in the future.
Co-authorship network of co-authors of Hiroshi Komoda
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Komoda. A scholar is included among the top collaborators of Hiroshi Komoda 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 Komoda. Hiroshi Komoda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 60 | |
| 4 | 41 | |
| 5 | 30 | |
| 6 | 7 | |
| 7 | 38 | |
| 8 | 52 | |
| 9 | 55 | |
| 10 | 47 | |
| 11 | 56 | |
| 12 | 107 | |
| 13 | 1 | |
| 14 | 101 | |
| 15 | 56 | |
| 16 | OE-009 The Possible Role of Oxidative Stress Caused by Uncoupled eNOS in Left Ventricular Remodeling after Myocardial Infarction in Rats(Chronic coronary heart disease/Remodeling-1 (IHD) OE2,Oral Presentation (English),The 70th Anniversary Annual Scientific Meeting of the Japanese Circulation Society) | 1 |
| 17 | 26 | |
| 18 | 125 | |
| 19 | 6 | |
| 20 | 11 |
About Hiroshi Komoda
Hiroshi Komoda is a scholar working on Genetics, Immunology and Surgery, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (14 papers), Diabetes and associated disorders (9 papers) and Xenotransplantation and immune response (9 papers). The work is most often cited by research in Genetics (258 citations), Endocrinology, Diabetes and Metabolism (272 citations) and Surgery (722 citations). Hiroshi Komoda has collaborated with scholars based in Japan, Saudi Arabia and United States. Frequent co-authors include Koichi Node, Teruo Inoue, Toshihiko Uchida, Jun‐ichi Oyama, Norihiko Kotooka, Aya Shiraki, Yoshiki Sawa, Toshinori Ito, Tetsuaki Hirase and Akifumi Matsuyama. Their work appears in journals such as Circulation, Journal of the American College of Cardiology 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.