T Mitsui
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Pharmaceutical Science top 5%
- Advancements in Transdermal Drug Delivery
Papers in
-
- ECG Monitoring and Analysis 6
- Cardiac Valve Diseases and Treatments 4
-
- Pharmacogenetics and Drug Metabolism 6
- Co-authors
- Motohiro Kato (7 shared papers)Gary Peltz (1 shared paper)Masato Nakamura (1 shared paper)Masatoshi Wakui (1 shared paper)Hiroshi Suemizu (1 shared paper)Kenji Kawai (1 shared paper)Masami Hasegawa (1 shared paper)Makoto Suematsu (1 shared paper)
- Journals
- Xenobiotica (3 papers)International Journal of Oncology (2 papers)Clinical Cardiology (2 papers)Pharmaceutical Research (2 papers)Drug Metabolism and Disposition (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
T Mitsui
58 papers receiving 857 citations
Peers
Comparison fields: 5 of 83
- Pharmacology 195
- Pharmaceutical Science 80
- Hepatology 77
- Oncology 148
- Numerical Analysis 26
Countries citing papers authored by T Mitsui
This map shows the geographic impact of T Mitsui'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 T Mitsui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Mitsui more than expected).
Fields of papers citing papers by T Mitsui
This network shows the impact of papers produced by T Mitsui. 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 T Mitsui. The network helps show where T Mitsui may publish in the future.
Co-authors
The 25 scholars most cited alongside T Mitsui, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 270 | |
| 2 | 2010 | 87 | |
| 3 | 2008 | 60 | |
| 4 | 2009 | 56 | |
| 5 | 2012 | 40 | |
| 6 | 2009 | 36 | |
| 7 | 1994 | 23 | |
| 8 | 1999 | 20 | |
| 9 | 2013 | 20 | |
| 10 | 2009 | 19 | |
| 11 | 1987 | 18 | |
| 12 | 2002 | 18 | |
| 13 | Atrial rate as an indicator for optimal pacing rate and the pacemaking syndrome. | 1972 | 15 |
| 14 | 2003 | 13 | |
| 15 | 2002 | 12 | |
| 16 | 2006 | 12 | |
| 17 | 2014 | 12 | |
| 18 | 2006 | 11 | |
| 19 | 1990 | 10 | |
| 20 | 1995 | 10 |
About T Mitsui
T Mitsui is a scholar working on Cardiology and Cardiovascular Medicine, Pharmacology, Surgery, Pharmaceutical Science and Oncology, having authored 61 papers that have together received 896 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (6 papers), Pharmacogenetics and Drug Metabolism (6 papers), Cardiac and Coronary Surgery Techniques (5 papers), Magnetic Field Sensors Techniques (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Atomic and Subatomic Physics Research (4 papers), Advancements in Transdermal Drug Delivery (3 papers) and Gallbladder and Bile Duct Disorders (3 papers). The work is most often cited by research in Pharmacology (195 citations), Pharmaceutical Science (80 citations), Hepatology (77 citations), Oncology (148 citations) and Numerical Analysis (26 citations). T Mitsui has collaborated with scholars based in Japan and United States. Frequent co-authors include Motohiro Kato, Gary Peltz, Masato Nakamura, Masatoshi Wakui, Hiroshi Suemizu, Kenji Kawai, Masami Hasegawa, Makoto Suematsu, Mamoru Ito and Makoto Monnai. Their work appears in journals such as Xenobiotica, International Journal of Oncology, Clinical Cardiology, Pharmaceutical Research and Drug Metabolism and Disposition.
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.