Tomohiro Mita
Impact in
- Epidemiology top 10%
- Adipokines, Inflammation, and Metabolic Diseases
- Autophagy in Disease and Therapy
- Biochemistry top 10%
Papers in
-
- Peroxisome Proliferator-Activated Receptors 12
-
- Cardiovascular Disease and Adiposity 3
- Cardiac pacing and defibrillation studies 3
- Cardiac Arrhythmias and Treatments 2
- Co-authors
- Tetsuji Miura (16 shared papers)Masato Furuhashi (15 shared papers)Takahiro Fuseya (14 shared papers)Shutaro Ishimura (14 shared papers)Hideaki Yoshida (14 shared papers)Marenao Tanaka (11 shared papers)Kyoko Hoshina (10 shared papers)Yuki Watanabe (10 shared papers)
- Journals
- PLoS ONE (3 papers)Journal of Hypertension (2 papers)Scientific Reports (1 paper)Journal of Interventional Cardiac Electrophysiology (1 paper)Journal of Clinical Medicine (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Tomohiro Mita
24 papers receiving 958 citations
Peers
Comparison fields: 5 of 90
- Epidemiology 330
- Biochemistry 68
- Cardiology and Cardiovascular Medicine 206
- Molecular Biology 559
- Endocrinology, Diabetes and Metabolism 128
Countries citing papers authored by Tomohiro Mita
This map shows the geographic impact of Tomohiro Mita'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 Tomohiro Mita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomohiro Mita more than expected).
Fields of papers citing papers by Tomohiro Mita
This network shows the impact of papers produced by Tomohiro Mita. 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 Tomohiro Mita. The network helps show where Tomohiro Mita may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomohiro Mita, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 118 | |
| 2 | 2016 | 103 | |
| 3 | 2012 | 84 | |
| 4 | 2016 | 82 | |
| 5 | 2014 | 82 | |
| 6 | 2014 | 82 | |
| 7 | 2014 | 70 | |
| 8 | 2017 | 51 | |
| 9 | 2015 | 45 | |
| 10 | 2016 | 44 | |
| 11 | 2015 | 44 | |
| 12 | 2015 | 41 | |
| 13 | 2014 | 36 | |
| 14 | 2014 | 30 | |
| 15 | 2021 | 20 | |
| 16 | 2017 | 8 | |
| 17 | 2017 | 6 | |
| 18 | 2021 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2022 | 3 |
About Tomohiro Mita
Tomohiro Mita is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Biochemistry and Surgery, having authored 25 papers that have together received 962 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (12 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Cardiovascular Disease and Adiposity (3 papers), Cardiac pacing and defibrillation studies (3 papers), Autophagy in Disease and Therapy (3 papers), Cardiac Arrhythmias and Treatments (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Epidemiology (330 citations), Biochemistry (68 citations), Cardiology and Cardiovascular Medicine (206 citations), Molecular Biology (559 citations) and Endocrinology, Diabetes and Metabolism (128 citations). Tomohiro Mita has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Tetsuji Miura, Masato Furuhashi, Takahiro Fuseya, Shutaro Ishimura, Hideaki Yoshida, Marenao Tanaka, Kyoko Hoshina, Yuki Watanabe, Yusuke Okazaki and Kazuaki Shimamoto. Their work appears in journals such as PLoS ONE, Journal of Hypertension, Scientific Reports, Journal of Interventional Cardiac Electrophysiology and Journal of Clinical Medicine.
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.