Yuichiro Hirata
- Genetics top 10%
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Mechanical Engineering
- Molecular Biology
- Co-authors
- Yasuko UchigataShoji KuwataKatsushi TokunagaTakeo JujiShinya KurikiYosuke OGINOKazufumi NomuraM. Miyamoto
- Topics
- Diabetes and associated disorders (13 papers)Welding Techniques and Residual Stresses (12 papers)SARS-CoV-2 and COVID-19 Research (10 papers)
- Partner nations
- JapanUnited StatesPakistan
In The Last Decade
Yuichiro Hirata
89 papers receiving 879 citations
Peers
Comparison fields: 5 of 115
- Genetics 189
- Surgery 182
- Endocrinology, Diabetes and Metabolism 168
- Mechanical Engineering 137
- Molecular Biology 131
Countries citing papers authored by Yuichiro Hirata
This map shows the geographic impact of Yuichiro Hirata'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 Yuichiro Hirata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichiro Hirata more than expected).
Fields of papers citing papers by Yuichiro Hirata
This network shows the impact of papers produced by Yuichiro Hirata. 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 Yuichiro Hirata. The network helps show where Yuichiro Hirata may publish in the future.
Co-authorship network of co-authors of Yuichiro Hirata
This figure shows the co-authorship network connecting the top 25 collaborators of Yuichiro Hirata. A scholar is included among the top collaborators of Yuichiro Hirata 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 Yuichiro Hirata. Yuichiro Hirata 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 | 6 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 38 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 0 | |
| 13 | 7 | |
| 14 | 2 | |
| 15 | A diabetes detection study in Kyushu, Japan. The relation of diabetes to hypertension. | 0 |
| 16 | 37 | |
| 17 | 101 | |
| 18 | 231 A study of endothelin-1 release from human decidual cells in early pregnancy. | 1 |
| 19 | 1 | |
| 20 | Study on pulsed TIG arc welding | 2 |
About Yuichiro Hirata
Yuichiro Hirata is a scholar working on Microbiology, Metals and Alloys and Endocrinology, Diabetes and Metabolism, having authored 108 papers that have together received 920 indexed citations. Recurring topics across this work include Diabetes and associated disorders (13 papers), Welding Techniques and Residual Stresses (12 papers) and SARS-CoV-2 and COVID-19 Research (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (168 citations), Genetics (189 citations) and Metals and Alloys (14 citations). Yuichiro Hirata has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include Yasuko Uchigata, Shoji Kuwata, Katsushi Tokunaga, Takeo Juji, Shinya Kuriki, Yosuke OGINO, Kazufumi Nomura, M. Miyamoto, Kimihiro Ozaki and Yoko Eguchi. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Communications.
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.