Hideo Tsukada
- Biological Psychiatry top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 83
- Neurotransmitter Receptor Influence on Behavior 29
- Neurology top 1%
- Cognitive Neuroscience top 2%
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- Medical Imaging Techniques and Applications 46
- Advanced MRI Techniques and Applications 20
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- Receptor Mechanisms and Signaling 40
- Nicotinic Acetylcholine Receptors Study 26
- Pharmacological Receptor Mechanisms and Effects 16
- Mitochondrial Function and Pathology 16
- Co-authors
- Takeharu KakiuchiShingo NishiyamaNorihiro HaradaDai FukumotoHiroyuki OhbaYasuomi OuchiKengo SatoNaoto Oku
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Hideo Tsukada
282 papers receiving 8.2k citations
Peers
Comparison fields: 5 of 164
- Biological Psychiatry 445
- Cellular and Molecular Neuroscience 2.6k
- Neurology 831
- Cognitive Neuroscience 1.1k
- Radiology, Nuclear Medicine and Imaging 1.3k
Countries citing papers authored by Hideo Tsukada
This map shows the geographic impact of Hideo Tsukada'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 Hideo Tsukada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideo Tsukada more than expected).
Fields of papers citing papers by Hideo Tsukada
This network shows the impact of papers produced by Hideo Tsukada. 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 Hideo Tsukada. The network helps show where Hideo Tsukada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hideo Tsukada, 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 | 2025 | 0 | |
| 2 | 2022 | 18 | |
| 3 | 2022 | 55 | |
| 4 | 2021 | 10 | |
| 5 | 2020 | 5 | |
| 6 | 2018 | 23 | |
| 7 | 2018 | 6 | |
| 8 | 2016 | 10 | |
| 9 | 2016 | 106 | |
| 10 | 2012 | 12 | |
| 11 | 2010 | 64 | |
| 12 | 2009 | 124 | |
| 13 | 2009 | 36 | |
| 14 | 2009 | 30 | |
| 15 | 2007 | 191 | |
| 16 | 2002 | 11 | |
| 17 | Detection of reperfusion injury using PET in a monkey model of cerebral ischemia. | 2000 | 37 |
| 18 | 1999 | 1 | |
| 19 | 1999 | 5 | |
| 20 | 1994 | 19 |
About Hideo Tsukada
Hideo Tsukada is a scholar working on Cellular and Molecular Neuroscience, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 287 papers that have together received 8.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (83 papers), Medical Imaging Techniques and Applications (46 papers), Receptor Mechanisms and Signaling (40 papers), Neurotransmitter Receptor Influence on Behavior (29 papers), Nicotinic Acetylcholine Receptors Study (26 papers), Advanced MRI Techniques and Applications (20 papers), Pharmacological Receptor Mechanisms and Effects (16 papers) and Mitochondrial Function and Pathology (16 papers). The work is most often cited by research in Biological Psychiatry (445 citations), Cellular and Molecular Neuroscience (2.6k citations) and Neurology (831 citations). Hideo Tsukada has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Takeharu Kakiuchi, Shingo Nishiyama, Norihiro Harada, Dai Fukumoto, Hiroyuki Ohba, Yasuomi Ouchi, Kengo Sato, Naoto Oku, Hirotaka Onoe and Etsuji Yoshikawa. Their work appears in journals such as Science, Nature Materials and Journal of Neuroscience.
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.