Tsuyoshi Hattori
- Molecular Biology
- Physiology
- Cardiology and Cardiovascular Medicine top 10%
- Cellular and Molecular Neuroscience
- Pharmacology
- Co-authors
- Hiroaki ShimokawaAkira TakeshitaKeiko MorikawaMidoriko HigashiYasushi MukaiShosuke TakahashiToshihiro IchikiJunko Hiroki
- Topics
- Urinary Bladder and Prostate Research (13 papers)Neuroscience and Neuropharmacology Research (5 papers)Pain Mechanisms and Treatments (4 papers)
- Journals
- Circulation ResearchInternational Journal of Molecular SciencesArteriosclerosis Thrombosis and Vascular Biology
- Partner nations
- Japan
In The Last Decade
Tsuyoshi Hattori
24 papers receiving 668 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 288
- Physiology 185
- Cardiology and Cardiovascular Medicine 150
- Cellular and Molecular Neuroscience 96
- Pharmacology 69
Countries citing papers authored by Tsuyoshi Hattori
This map shows the geographic impact of Tsuyoshi Hattori'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 Tsuyoshi Hattori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsuyoshi Hattori more than expected).
Fields of papers citing papers by Tsuyoshi Hattori
This network shows the impact of papers produced by Tsuyoshi Hattori. 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 Tsuyoshi Hattori. The network helps show where Tsuyoshi Hattori may publish in the future.
Co-authorship network of co-authors of Tsuyoshi Hattori
This figure shows the co-authorship network connecting the top 25 collaborators of Tsuyoshi Hattori. A scholar is included among the top collaborators of Tsuyoshi Hattori 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 Tsuyoshi Hattori. Tsuyoshi Hattori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 11 | |
| 13 | 3 | |
| 14 | 37 | |
| 15 | Long-Term Inhibition of Rho-Kinase Markedly Ameliorates Monocrotaline-lnduced Pulmonary Hypertension in Rats | 2 |
| 16 | 353 | |
| 17 | 91 | |
| 18 | 31 | |
| 19 | 1 | |
| 20 | [An alternative cephalometric evaluation based on the concept of natural head position]. | 1 |
About Tsuyoshi Hattori
Tsuyoshi Hattori is a scholar working on Urology, Anatomy and Gastroenterology, having authored 27 papers that have together received 680 indexed citations. Recurring topics across this work include Urinary Bladder and Prostate Research (13 papers), Neuroscience and Neuropharmacology Research (5 papers) and Pain Mechanisms and Treatments (4 papers). The work is most often cited by research in Urology (52 citations), Physiology (185 citations) and Cardiology and Cardiovascular Medicine (150 citations). Tsuyoshi Hattori has collaborated with scholars based in Japan. Frequent co-authors include Hiroaki Shimokawa, Akira Takeshita, Keiko Morikawa, Midoriko Higashi, Yasushi Mukai, Shosuke Takahashi, Toshihiro Ichiki, Junko Hiroki, Koh Kawasaki and Shinji Yamada. Their work appears in journals such as Circulation Research, International Journal of Molecular Sciences and Arteriosclerosis Thrombosis and Vascular Biology.
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.