Tomoko Ono
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders 7
- Aging top 5%
- Immunology top 5%
- Complement system in diseases 4
- Molecular Biology top 5%
- Mitochondrial Function and Pathology 9
- DNA Repair Mechanisms 3
- Hematology top 5%
- Blood Coagulation and Thrombosis Mechanisms 4
- Platelet Disorders and Treatments 4
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- Liver Disease Diagnosis and Treatment 7
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- Carcinogens and Genotoxicity Assessment 6
- Co-authors
- Kazuto NakadaKotoyo IsobeJun-Ichi HayashiHidetoshi IidaJun‐Ichi HayashiJun MimuroSeiji MadoiwaYoichi Sakata
- Cited by
- Clinical BiochemistryAgingImmunology
- Journals
- Blood (2 papers)Mutation Research/Genetic Toxicology and Environmental Mutagenesis (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tomoko Ono
78 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 146
- Clinical Biochemistry 336
- Aging 45
- Immunology 453
- Molecular Biology 1.4k
- Hematology 219
Countries citing papers authored by Tomoko Ono
This map shows the geographic impact of Tomoko Ono'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 Tomoko Ono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoko Ono more than expected).
Fields of papers citing papers by Tomoko Ono
This network shows the impact of papers produced by Tomoko Ono. 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 Tomoko Ono. The network helps show where Tomoko Ono may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomoko Ono, 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 | 2022 | 3 | |
| 2 | 2021 | 7 | |
| 3 | 2020 | 164 | |
| 4 | 2019 | 24 | |
| 5 | 2018 | 2 | |
| 6 | 2014 | 19 | |
| 7 | 2013 | 10 | |
| 8 | 2013 | 6 | |
| 9 | 2013 | 9 | |
| 10 | 2012 | 47 | |
| 11 | 2008 | 14 | |
| 12 | 2007 | 13 | |
| 13 | 2006 | 100 | |
| 14 | 2004 | 49 | |
| 15 | 2001 | 342 | |
| 16 | Non-visual Color Recognition | 1997 | 2 |
| 17 | 1997 | 27 | |
| 18 | 1997 | 19 | |
| 19 | Associates of protein in milk and soymilk | 1991 | 3 |
| 20 | 1990 | 78 |
About Tomoko Ono
Tomoko Ono is a scholar working on Clinical Biochemistry, Hepatology, Hematology, Cancer Research and Microbiology, having authored 82 papers that have together received 2.6k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), Metabolism and Genetic Disorders (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Carcinogens and Genotoxicity Assessment (6 papers), Complement system in diseases (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Platelet Disorders and Treatments (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Clinical Biochemistry (336 citations), Aging (45 citations), Immunology (453 citations), Molecular Biology (1.4k citations) and Hematology (219 citations). Tomoko Ono has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazuto Nakada, Kotoyo Isobe, Jun-Ichi Hayashi, Hidetoshi Iida, Jun‐Ichi Hayashi, Jun Mimuro, Seiji Madoiwa, Yoichi Sakata, Tsukasa Ohmori and Kimiko Inoue. Their work appears in journals such as Blood, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Proceedings of the National Academy of Sciences, Nature Genetics and Thrombosis Research.
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.