T Mitsui
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Hepatology top 5%
- Liver physiology and pathology
Papers in
- Co-authors
- Motohiro Kato (7 shared papers)Yoshinori Aso (7 shared papers)Yuichi Sugiyama (2 shared papers)Tatsuhiko Tachibana (2 shared papers)Masatoshi Wakui (1 shared paper)Masami Hasegawa (1 shared paper)Makoto Suematsu (1 shared paper)Kenji Taniguchi (1 shared paper)
- Journals
- Xenobiotica (3 papers)Clinical Cardiology (2 papers)Drug Metabolism and Disposition (2 papers)Computers & Mathematics with Applications (2 papers)International Journal of Oncology (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
T Mitsui
66 papers receiving 865 citations
Peers
Comparison fields: 5 of 113
- Pharmacology 207
- Hepatology 115
- Pharmaceutical Science 77
- Oncology 221
- Dermatology 41
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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 255 | |
| 2 | 2010 | 87 | |
| 3 | 2008 | 59 | |
| 4 | 2009 | 57 | |
| 5 | 2012 | 38 | |
| 6 | 2009 | 35 | |
| 7 | 1994 | 22 | |
| 8 | 2013 | 21 | |
| 9 | 1999 | 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 | 1999 | 13 | |
| 15 | 2003 | 13 | |
| 16 | 2006 | 12 | |
| 17 | 2006 | 12 | |
| 18 | 2002 | 12 | |
| 19 | 2014 | 10 | |
| 20 | 1990 | 10 |
About T Mitsui
T Mitsui is a scholar working on Surgery, Oncology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 69 papers that have together received 897 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Atomic and Subatomic Physics Research (5 papers), Cardiac pacing and defibrillation studies (4 papers), Advanced MRI Techniques and Applications (4 papers), Numerical methods for differential equations (3 papers), Gallbladder and Bile Duct Disorders (3 papers) and Liver Disease and Transplantation (3 papers). The work is most often cited by research in Pharmacology (207 citations), Hepatology (115 citations), Pharmaceutical Science (77 citations), Oncology (221 citations) and Dermatology (41 citations). T Mitsui has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Motohiro Kato, Yoshinori Aso, Yuichi Sugiyama, Tatsuhiko Tachibana, Masatoshi Wakui, Masami Hasegawa, Makoto Suematsu, Kenji Taniguchi, Mamoru Ito and Hiroshi Suemizu. Their work appears in journals such as Xenobiotica, Clinical Cardiology, Drug Metabolism and Disposition, Computers & Mathematics with Applications and International Journal of Oncology.
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.