Hiroshi Uchino
- Molecular Biology top 5%
- Biochemistry top 0.1%
- Oncology top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 5%
- Co-authors
- Hitoshi EndouEiji TakedaYoshikatsu KanaiKen‐ichi MiyamotoHiroko SegawaRyuzo KawamoriIkumi TamaiTakahisa Hirose
- Topics
- Diabetes Treatment and Management (14 papers)Diabetes Management and Research (12 papers)Metabolism, Diabetes, and Cancer (12 papers)
In The Last Decade
Hiroshi Uchino
112 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 1.9k
- Biochemistry 1.6k
- Oncology 1.0k
- Endocrinology, Diabetes and Metabolism 965
- Surgery 710
Countries citing papers authored by Hiroshi Uchino
This map shows the geographic impact of Hiroshi Uchino'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 Uchino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Uchino more than expected).
Fields of papers citing papers by Hiroshi Uchino
This network shows the impact of papers produced by Hiroshi Uchino. 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 Uchino. The network helps show where Hiroshi Uchino may publish in the future.
Co-authorship network of co-authors of Hiroshi Uchino
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Uchino. A scholar is included among the top collaborators of Hiroshi Uchino 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 Uchino. Hiroshi Uchino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 15 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 26 | |
| 13 | 4 | |
| 14 | 149 | |
| 15 | 76 | |
| 16 | 8 | |
| 17 | Manganese Superoxide Dismutase Polymorphism (V16A) Associated with Impaired Cardiac Autonomic Function in Japanese Type 2 Diabetic Patients | 0 |
| 18 | 28 | |
| 19 | 55 | |
| 20 | Seminal vesicle cyst associated with ipsilateral renal dysplasia: A report of two cases | 1 |
About Hiroshi Uchino
Hiroshi Uchino is a scholar working on Endocrinology, Diabetes and Metabolism, Agronomy and Crop Science and Biochemistry, having authored 115 papers that have together received 5.2k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (14 papers), Diabetes Management and Research (12 papers) and Metabolism, Diabetes, and Cancer (12 papers). The work is most often cited by research in Biochemistry (1.6k citations), Clinical Biochemistry (610 citations) and Endocrinology, Diabetes and Metabolism (965 citations). Hiroshi Uchino has collaborated with scholars based in Japan, India and Canada. Frequent co-authors include Hitoshi Endou, Eiji Takeda, Yoshikatsu Kanai, Ken‐ichi Miyamoto, Hiroko Segawa, Ryuzo Kawamori, Ikumi Tamai, Takahisa Hirose, Yoshimichi Sai and Hirotaka Watada. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and The Science of The Total Environment.
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.