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
- Co-authors
- Koh Miura (1 shared paper)T Nishihira (1 shared paper)Yusuke Nakamura (1 shared paper)Takahiro Mori (1 shared paper)Shunsuke Mori (1 shared paper)Joji Utsunomiya (2 shared papers)Michio Ogawa (2 shared papers)Hiroki Nagase (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 StatesUnited Kingdom
In The Last Decade
T Aoki
7 papers receiving 820 citations
Peers
Comparison fields: 5 of 52
- Pathology and Forensic Medicine 385
- Oncology 498
- Cancer Research 246
- Molecular Biology 269
- Biotechnology 32
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 | 310 |
| 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 | 282 |
| 3 | Detection of K-ras gene mutations in plasma DNA of patients with pancreatic adenocarcinoma: correlation with clinicopathological features. | 1998 | 145 |
| 4 | 1992 | 95 | |
| 5 | 2012 | 11 | |
| 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 856 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Genetic factors in colorectal cancer (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Multiple and Secondary Primary Cancers (1 paper), Ubiquitin and proteasome pathways (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Pericarditis and Cardiac Tamponade (1 paper) and Cardiac tumors and thrombi (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (385 citations), Oncology (498 citations), Cancer Research (246 citations), Molecular Biology (269 citations) and Biotechnology (32 citations). T Aoki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Koh Miura, T Nishihira, Yusuke Nakamura, Takahiro Mori, Shunsuke Mori, Joji Utsunomiya, Michio Ogawa, Hiroki Nagase, Akira Horii 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.