Jun Tatsuno
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Biochemistry top 10%
- Eicosanoids and Hypertension Pharmacology
Papers in
-
- Pharmacogenetics and Drug Metabolism 3
- Surgery 2
- Coronary Interventions and Diagnostics 2
- Co-authors
- Frank J. Gonzalez (2 shared papers)Shigeru Yamano (1 shared paper)Kenichi Kitani (2 shared papers)Masayoshi Tani (1 shared paper)Tokuji Suzuki (1 shared paper)Ryosei Kawai (2 shared papers)Hirotoshi Echizen (1 shared paper)Takashi Ishizaki (1 shared paper)
- Journals
- Drug Metabolism and Disposition (2 papers)Biochemistry (1 paper)Journal of Thrombosis and Thrombolysis (1 paper)Biochemical and Biophysical Research Communications (1 paper)American Heart Journal (1 paper)
- Partner nations
- JapanUnited StatesIsrael
In The Last Decade
Jun Tatsuno
7 papers receiving 404 citations
Peers
Comparison fields: 5 of 55
- Pharmacology 327
- Biochemistry 52
- Pharmaceutical Science 30
- Oncology 109
- Cancer Research 57
Countries citing papers authored by Jun Tatsuno
This map shows the geographic impact of Jun Tatsuno'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 Jun Tatsuno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tatsuno more than expected).
Fields of papers citing papers by Jun Tatsuno
This network shows the impact of papers produced by Jun Tatsuno. 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 Jun Tatsuno. The network helps show where Jun Tatsuno may publish in the future.
Co-authors
The 23 scholars most cited alongside Jun Tatsuno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 338 | |
| 2 | 2007 | 21 | |
| 3 | 2000 | 20 | |
| 4 | 1985 | 16 | |
| 5 | 2005 | 12 | |
| 6 | 1990 | 11 | |
| 7 | LIDOCAINE-LIDOCAINE METABOLITE INTERACTIONS IN THEIR METABOLISM | 1983 | 1 |
About Jun Tatsuno
Jun Tatsuno is a scholar working on Pharmacology, Surgery, Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 419 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (3 papers), Coronary Interventions and Diagnostics (2 papers), Acute Myocardial Infarction Research (2 papers), Metabolism and Genetic Disorders (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Drug Transport and Resistance Mechanisms (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Pharmacology (327 citations), Biochemistry (52 citations), Pharmaceutical Science (30 citations), Oncology (109 citations) and Cancer Research (57 citations). Jun Tatsuno has collaborated with scholars based in Japan, United States and Israel. Frequent co-authors include Frank J. Gonzalez, Shigeru Yamano, Kenichi Kitani, Masayoshi Tani, Tokuji Suzuki, Ryosei Kawai, Hirotoshi Echizen, Takashi Ishizaki, Ik–Kyung Jang and Martha M. Tanizaki. Their work appears in journals such as Drug Metabolism and Disposition, Biochemistry, Journal of Thrombosis and Thrombolysis, Biochemical and Biophysical Research Communications and American Heart Journal.
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.