Mitsutoshi Oguri
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Genetics top 10%
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Yoshiji YamadaKimihiko KatoTetsuo FujimakiHideki HoribeSachiro WatanabeIchiro TakeuchiKiyoshi YokoiKei Satoh
- Topics
- Genetic Associations and Epidemiology (38 papers)Diabetes Treatment and Management (13 papers)Cancer-related gene regulation (10 papers)
- Journals
- American Journal of Respiratory and Critical Care MedicineEuropean Heart JournalAtherosclerosis
- Partner nations
- JapanCzechiaSouth Korea
In The Last Decade
Mitsutoshi Oguri
88 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 436
- Cardiology and Cardiovascular Medicine 310
- Genetics 269
- Surgery 204
- Endocrinology, Diabetes and Metabolism 166
Countries citing papers authored by Mitsutoshi Oguri
This map shows the geographic impact of Mitsutoshi Oguri'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 Mitsutoshi Oguri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsutoshi Oguri more than expected).
Fields of papers citing papers by Mitsutoshi Oguri
This network shows the impact of papers produced by Mitsutoshi Oguri. 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 Mitsutoshi Oguri. The network helps show where Mitsutoshi Oguri may publish in the future.
Co-authorship network of co-authors of Mitsutoshi Oguri
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsutoshi Oguri. A scholar is included among the top collaborators of Mitsutoshi Oguri 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 Mitsutoshi Oguri. Mitsutoshi Oguri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 5 | |
| 12 | 15 | |
| 13 | 22 | |
| 14 | 14 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 20 | |
| 18 | 32 | |
| 19 | PE-502 Cardiac-specific Overexpression of ZAKI-4 β Attenuates LV Hypertrophy and Interstitial Fibrosis, but not Coronary Perivascular Fibrosis, Induced by Angiotensin II(Genetics/Genetically engineered models/Gene therapy-3, The 71st Annual Scientific Meeting of the Japanese Circulation Society) | 2 |
| 20 | 17 |
About Mitsutoshi Oguri
Mitsutoshi Oguri is a scholar working on Genetics, Nephrology and Geriatrics and Gerontology, having authored 93 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (38 papers), Diabetes Treatment and Management (13 papers) and Cancer-related gene regulation (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (310 citations), Nephrology (90 citations) and Endocrinology, Diabetes and Metabolism (166 citations). Mitsutoshi Oguri has collaborated with scholars based in Japan, Czechia and South Korea. Frequent co-authors include Yoshiji Yamada, Kimihiko Kato, Tetsuo Fujimaki, Hideki Horibe, Sachiro Watanabe, Ichiro Takeuchi, Kiyoshi Yokoi, Kei Satoh, Tetsuro Yoshida and Yoshiki Yasukochi. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, European Heart Journal and Atherosclerosis.
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.