Kazuki Hattori
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders 10
- Aging top 2%
- Molecular Biology top 5%
- Mitochondrial Function and Pathology 17
- ATP Synthase and ATPases Research 9
- Redox biology and oxidative stress 5
- Genomics, phytochemicals, and oxidative stress 3
- Physiology top 10%
- Adipose Tissue and Metabolism 5
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- Cardiomyopathy and Myosin Studies 4
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- Endoplasmic Reticulum Stress and Disease 3
- Co-authors
- Takayuki OzawaSatoru SugiyamaHidenori IchijoMika HayakawaIsao NaguroMasashi TanakaTakayuki ItoKinji Ohno
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Nature Communications (3 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Kazuki Hattori
53 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 126
- Clinical Biochemistry 585
- Aging 103
- Molecular Biology 1.6k
- Cellular and Molecular Neuroscience 242
- Physiology 307
Countries citing papers authored by Kazuki Hattori
This map shows the geographic impact of Kazuki 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 Kazuki Hattori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuki Hattori more than expected).
Fields of papers citing papers by Kazuki Hattori
This network shows the impact of papers produced by Kazuki 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 Kazuki Hattori. The network helps show where Kazuki Hattori may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kazuki Hattori, 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 | 2024 | 9 | |
| 2 | 2022 | 13 | |
| 3 | 2022 | 8 | |
| 4 | 2022 | 32 | |
| 5 | 2020 | 29 | |
| 6 | 2020 | 3 | |
| 7 | 2020 | 11 | |
| 8 | The relationship between the accessory anterolateral talar facet and angle of Gissane | 2018 | 1 |
| 9 | 2018 | 10 | |
| 10 | 2017 | 66 | |
| 11 | 2012 | 55 | |
| 12 | 2009 | 171 | |
| 13 | 1993 | 89 | |
| 14 | 1993 | 4 | |
| 15 | 1992 | 101 | |
| 16 | 1991 | 87 | |
| 17 | 1991 | 217 | |
| 18 | 1991 | 5 | |
| 19 | 1990 | 21 | |
| 20 | 1990 | 277 |
About Kazuki Hattori
Kazuki Hattori is a scholar working on Clinical Biochemistry, Aging and Toxicology, having authored 53 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (17 papers), Metabolism and Genetic Disorders (10 papers), ATP Synthase and ATPases Research (9 papers), Redox biology and oxidative stress (5 papers), Adipose Tissue and Metabolism (5 papers), Cardiomyopathy and Myosin Studies (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Clinical Biochemistry (585 citations), Aging (103 citations) and Molecular Biology (1.6k citations). Kazuki Hattori has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Takayuki Ozawa, Satoru Sugiyama, Hidenori Ichijo, Mika Hayakawa, Isao Naguro, Masashi Tanaka, Takayuki Ito, Kinji Ohno, Wataru Sato and Toshihiro Obayashi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.