Kazuki Hattori
- Molecular Biology top 5%
- Clinical Biochemistry top 0.5%
- Physiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Takayuki OzawaSatoru SugiyamaHidenori IchijoMika HayakawaIsao NaguroMasashi TanakaTakayuki ItoKinji Ohno
- Topics
- Mitochondrial Function and Pathology (17 papers)Metabolism and Genetic Disorders (10 papers)ATP Synthase and ATPases Research (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Kazuki Hattori
53 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 1.6k
- Clinical Biochemistry 585
- Physiology 307
- Cellular and Molecular Neuroscience 242
- Cardiology and Cardiovascular Medicine 180
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 of co-authors of Kazuki Hattori
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuki Hattori. A scholar is included among the top collaborators of Kazuki 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 Kazuki Hattori. Kazuki 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 | 9 | |
| 2 | 13 | |
| 3 | 8 | |
| 4 | 32 | |
| 5 | 29 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | The relationship between the accessory anterolateral talar facet and angle of Gissane | 1 |
| 9 | 10 | |
| 10 | 66 | |
| 11 | 55 | |
| 12 | 171 | |
| 13 | 89 | |
| 14 | 4 | |
| 15 | 101 | |
| 16 | 87 | |
| 17 | 217 | |
| 18 | 5 | |
| 19 | 21 | |
| 20 | 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) and ATP Synthase and ATPases Research (9 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.