Tomoko Aoki
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
Papers in
- Hepatology 16
- Hepatocellular Carcinoma Treatment and Prognosis 12
- Epidemiology 11
- Liver Disease Diagnosis and Treatment 10
- Hepatitis B Virus Studies 6
- Co-authors
- David Julian McClements (1 shared paper)Eric A. Decker (1 shared paper)Naohiro Gotoh (3 shared papers)Shun Wada (3 shared papers)Chamila Jayasinghe (1 shared paper)Masatoshi Kudo (24 shared papers)Naoshi Nishida (23 shared papers)Yasunori Minami (20 shared papers)
- Journals
- Cancers (8 papers)Liver Cancer (6 papers)Hepatology Research (5 papers)Scientific Reports (2 papers)Clinical and Molecular Hepatology (2 papers)
- Partner nations
- JapanUnited StatesHong Kong
In The Last Decade
Tomoko Aoki
68 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 127
- Hepatology 442
- Biochemistry 113
- Food Science 323
- Sensory Systems 44
- Endocrine and Autonomic Systems 58
Countries citing papers authored by Tomoko Aoki
This map shows the geographic impact of Tomoko Aoki'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 Aoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoko Aoki more than expected).
Fields of papers citing papers by Tomoko Aoki
This network shows the impact of papers produced by Tomoko Aoki. 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 Aoki. The network helps show where Tomoko Aoki may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomoko Aoki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 258 | |
| 2 | 2004 | 219 | |
| 3 | 2019 | 210 | |
| 4 | 2007 | 97 | |
| 5 | 2019 | 88 | |
| 6 | 2014 | 75 | |
| 7 | 2021 | 60 | |
| 8 | 2021 | 46 | |
| 9 | 2002 | 43 | |
| 10 | 1997 | 43 | |
| 11 | 1982 | 42 | |
| 12 | 2012 | 36 | |
| 13 | 2019 | 34 | |
| 14 | 2020 | 33 | |
| 15 | 1996 | 32 | |
| 16 | 2022 | 28 | |
| 17 | 2020 | 28 | |
| 18 | 2009 | 24 | |
| 19 | 2023 | 23 | |
| 20 | 1997 | 21 |
About Tomoko Aoki
Tomoko Aoki is a scholar working on Hepatology, Epidemiology, Molecular Biology, Endocrine and Autonomic Systems and Physiology, having authored 74 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (12 papers), Liver Disease Diagnosis and Treatment (10 papers), Neuroscience of respiration and sleep (7 papers), Nitric Oxide and Endothelin Effects (6 papers), Hepatitis B Virus Studies (6 papers), Copper Interconnects and Reliability (5 papers), Silicone and Siloxane Chemistry (4 papers) and Semiconductor materials and devices (4 papers). The work is most often cited by research in Hepatology (442 citations), Biochemistry (113 citations), Food Science (323 citations), Sensory Systems (44 citations) and Endocrine and Autonomic Systems (58 citations). Tomoko Aoki has collaborated with scholars based in Japan, United States and Hong Kong. Frequent co-authors include David Julian McClements, Eric A. Decker, Naohiro Gotoh, Shun Wada, Chamila Jayasinghe, Masatoshi Kudo, Naoshi Nishida, Yasunori Minami, Satoru Hagiwara and Kazuomi Ueshima. Their work appears in journals such as Cancers, Liver Cancer, Hepatology Research, Scientific Reports and Clinical and Molecular Hepatology.
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.