Kazuo Tomita
- Cancer Research top 5%
- Clinical Biochemistry top 5%
- Molecular Biology top 10%
- Mitochondrial Function and Pathology 16
- ATP Synthase and ATPases Research 6
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- Ferroptosis and cancer prognosis 7
- Radiation Therapy and Dosimetry 7
- Internal Medicine top 10%
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- Fluorine in Organic Chemistry 11
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- Organic Chemistry Cycloaddition Reactions 7
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- Neurotransmitter Receptor Influence on Behavior 6
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- Effects of Radiation Exposure 6
- Co-authors
- Tomoaki SatoYoshikazu KuwaharaMehryar Habibi RoudkenarAmaneh Mohammadi RoushandehHideyuki J. MajimaHiroko P. IndoShigeaki SuenagaHsiu‐Chuan Yen
- Partner nations
- JapanIranUnited States
In The Last Decade
Kazuo Tomita
126 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 138
- Cancer Research 363
- Clinical Biochemistry 102
- Molecular Biology 937
- Pulmonary and Respiratory Medicine 396
- Internal Medicine 39
Countries citing papers authored by Kazuo Tomita
This map shows the geographic impact of Kazuo Tomita'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 Kazuo Tomita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuo Tomita more than expected).
Fields of papers citing papers by Kazuo Tomita
This network shows the impact of papers produced by Kazuo Tomita. 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 Kazuo Tomita. The network helps show where Kazuo Tomita may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kazuo Tomita, 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 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 26 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 3 | |
| 9 | 2021 | 54 | |
| 10 | 2021 | 4 | |
| 11 | 2020 | 82 | |
| 12 | 2018 | 11 | |
| 13 | 2018 | 30 | |
| 14 | 2017 | 37 | |
| 15 | A 65 nm Ultra-High-Density Dual-port SRAM with 0.71um2 8T-cell for SoC | 2006 | 3 |
| 16 | 2006 | 427 | |
| 17 | 2005 | 72 | |
| 18 | LOCALIZATION AND MIGRATION OF FOLLICULAR MELANOCYTE PRECURSORS IN MOUSE VIBRISSAE DURING HAIR CYCLE(Developmental Biology)(Proceedings of the Seventy-Third Annual Meeting of the Zoological Society of Japan) | 2002 | 2 |
| 19 | 1985 | 4 | |
| 20 | STUDIES ON CORONARY BLOOD FLOW IN AN ACUTE RIGHT VENTRICULAR PRESSURE-LOAD : PROCEEDINGS OF THE 38TH ANNUAL MEETING OF THE JAPANESE CIRCULATION SOCIETY | 1974 | 1 |
About Kazuo Tomita
Kazuo Tomita is a scholar working on Pharmaceutical Science, Biological Psychiatry and Organic Chemistry, having authored 135 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (16 papers), Fluorine in Organic Chemistry (11 papers), Ferroptosis and cancer prognosis (7 papers), Radiation Therapy and Dosimetry (7 papers), Organic Chemistry Cycloaddition Reactions (7 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Effects of Radiation Exposure (6 papers) and ATP Synthase and ATPases Research (6 papers). The work is most often cited by research in Cancer Research (363 citations), Clinical Biochemistry (102 citations) and Molecular Biology (937 citations). Kazuo Tomita has collaborated with scholars based in Japan, Iran and United States. Frequent co-authors include Tomoaki Sato, Yoshikazu Kuwahara, Mehryar Habibi Roudkenar, Amaneh Mohammadi Roushandeh, Hideyuki J. Majima, Hiroko P. Indo, Shigeaki Suenaga, Hsiu‐Chuan Yen, Toshihiko Ozawa and Yasutoshi Koga.
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.