Toshimitsu Nozaki
- Cardiology and Cardiovascular Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Surgery top 10%
- Immunology top 10%
- Co-authors
- Seigo SugiyamaHisao OgawaKoichi SugamuraYasushi MatsuzawaKeisuke OhbaHitoshi SumidaJunichi MatsubaraKunihiko Matsui
- Topics
- Cardiovascular Disease and Adiposity (7 papers)Cardiovascular Health and Disease Prevention (5 papers)Cardiac Imaging and Diagnostics (4 papers)
- Partner nations
- Japan
In The Last Decade
Toshimitsu Nozaki
23 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 93
- Cardiology and Cardiovascular Medicine 869
- Endocrinology, Diabetes and Metabolism 336
- Molecular Biology 335
- Surgery 313
- Immunology 227
Countries citing papers authored by Toshimitsu Nozaki
This map shows the geographic impact of Toshimitsu Nozaki'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 Toshimitsu Nozaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshimitsu Nozaki more than expected).
Fields of papers citing papers by Toshimitsu Nozaki
This network shows the impact of papers produced by Toshimitsu Nozaki. 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 Toshimitsu Nozaki. The network helps show where Toshimitsu Nozaki may publish in the future.
Co-authorship network of co-authors of Toshimitsu Nozaki
This figure shows the co-authorship network connecting the top 25 collaborators of Toshimitsu Nozaki. A scholar is included among the top collaborators of Toshimitsu Nozaki 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 Toshimitsu Nozaki. Toshimitsu Nozaki 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 | 19 | |
| 3 | 15 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 231 | |
| 8 | 219 | |
| 9 | 40 | |
| 10 | 147 | |
| 11 | 2 | |
| 12 | 97 | |
| 13 | Abstract 14739: Dipeptidyl Peptidase-4 Inhibitor, Des-Fluoro-Sitagliptin (DFS), Improved Endothelial Function and Reduced Atherosclerotic Lesion Formation in Apolipoprotein E-deficient Mice | 1 |
| 14 | 88 | |
| 15 | 26 | |
| 16 | 173 | |
| 17 | 221 | |
| 18 | 101 | |
| 19 | 1 | |
| 20 | 9 |
About Toshimitsu Nozaki
Toshimitsu Nozaki is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Surgery, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (7 papers), Cardiovascular Health and Disease Prevention (5 papers) and Cardiac Imaging and Diagnostics (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (869 citations), Endocrinology, Diabetes and Metabolism (336 citations) and Pharmacology (193 citations). Toshimitsu Nozaki has collaborated with scholars based in Japan. Frequent co-authors include Seigo Sugiyama, Hisao Ogawa, Koichi Sugamura, Yasushi Matsuzawa, Keisuke Ohba, Hitoshi Sumida, Junichi Matsubara, Kunihiko Matsui, Masaaki Konishi and Koichi Kaikita. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.
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.