T Aoki
Impact in
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- Genetic factors in colorectal cancer
- Oncology top 5%
- Cancer-related Molecular Pathways
- Colorectal Cancer Treatments and Studies
- Pancreatic and Hepatic Oncology Research
- Colorectal Cancer Screening and Detection
Papers in
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- Cancer Genomics and Diagnostics 4
- Surgery 3
- Pancreatic function and diabetes 1
- Co-authors
- Yusuke Nakamura (1 shared paper)T Nishihira (1 shared paper)Koh Miura (1 shared paper)Shunsuke Mori (1 shared paper)Takahiro Mori (1 shared paper)Akira Horii (2 shared papers)Hiroki Nagase (2 shared papers)Michio Ogawa (2 shared papers)
- Journals
- Human Mutation (1 paper)The Journal of Biochemistry (1 paper)Knee Surgery Sports Traumatology Arthroscopy (1 paper)PubMed (4 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
T Aoki
7 papers receiving 796 citations
Peers
Comparison fields: 5 of 57
- Pathology and Forensic Medicine 389
- Oncology 546
- Cancer Research 267
- Molecular Biology 298
- Biotechnology 35
Countries citing papers authored by T Aoki
This map shows the geographic impact of T 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 T Aoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Aoki more than expected).
Fields of papers citing papers by T Aoki
This network shows the impact of papers produced by T 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 T Aoki. The network helps show where T Aoki may publish in the future.
Co-authors
The 25 scholars most cited alongside T 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
| # | Work | ||
|---|---|---|---|
| 1 | Frequent somatic mutation of the MTS1/CDK4I (multiple tumor suppressor/cyclin-dependent kinase 4 inhibitor) gene in esophageal squamous cell carcinoma. | 1994 | 306 |
| 2 | Correlation between the location of germ-line mutations in the APC gene and the number of colorectal polyps in familial adenomatous polyposis patients. | 1992 | 261 |
| 3 | Detection of K-ras gene mutations in plasma DNA of patients with pancreatic adenocarcinoma: correlation with clinicopathological features. | 1998 | 142 |
| 4 | 1992 | 91 | |
| 5 | 2012 | 8 | |
| 6 | 2000 | 7 | |
| 7 | [A case of mature teratoma perforated into the pericardial cavity]. | 1997 | 6 |
About T Aoki
T Aoki is a scholar working on Cancer Research, Surgery, Oncology, Pathology and Forensic Medicine and Molecular Biology, having authored 7 papers that have together received 821 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Colorectal Cancer Treatments and Studies (2 papers), Genetic factors in colorectal cancer (2 papers), Pancreatic function and diabetes (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper), Cardiac tumors and thrombi (1 paper) and Myasthenia Gravis and Thymoma (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (389 citations), Oncology (546 citations), Cancer Research (267 citations), Molecular Biology (298 citations) and Biotechnology (35 citations). T Aoki has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Yusuke Nakamura, T Nishihira, Koh Miura, Shunsuke Mori, Takahiro Mori, Akira Horii, Hiroki Nagase, Michio Ogawa, Joji Utsunomiya and Yoko Miyoshi. Their work appears in journals such as Human Mutation, The Journal of Biochemistry, Knee Surgery Sports Traumatology Arthroscopy and PubMed.
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.