Takeshi Naitoh
- Oncology top 1%
- Pancreatic and Hepatic Oncology Research 49
- Colorectal Cancer Surgical Treatments 27
- Colorectal Cancer Screening and Detection 19
- Colorectal Cancer Treatments and Studies 15
- Surgery top 2%
- Pancreatitis Pathology and Treatment 23
- Bariatric Surgery and Outcomes 17
- Gastroenterology top 5%
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- Gastric Cancer Management and Outcomes 32
- Cancer Research top 5%
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- Neuroendocrine Tumor Research Advances 18
- Co-authors
- Michiaki UnnoFuyuhiko MotoiYu KatayoseShinichi EgawaChikashi ShibataMichel GagnerMasanori SuzukiMasaharu Ishida
- Cited by
- OncologySurgeryGastroenterology
- Journals
- Journal of Biological Chemistry (1 paper)Nature Genetics (1 paper)Journal of Clinical Oncology (6 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Takeshi Naitoh
212 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 142
- Oncology 1.7k
- Surgery 1.5k
- Gastroenterology 151
- Pulmonary and Respiratory Medicine 726
- Cancer Research 311
Countries citing papers authored by Takeshi Naitoh
This map shows the geographic impact of Takeshi Naitoh'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 Takeshi Naitoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Naitoh more than expected).
Fields of papers citing papers by Takeshi Naitoh
This network shows the impact of papers produced by Takeshi Naitoh. 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 Takeshi Naitoh. The network helps show where Takeshi Naitoh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takeshi Naitoh, 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 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 30 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2020 | 5 | |
| 13 | 2020 | 7 | |
| 14 | 2019 | 66 | |
| 15 | 2017 | 20 | |
| 16 | Feasibility Assessment of Modified FOLFOX-6 as adjuvant treatment after resection of liver metastases from colorectal cancer: analyses of a multicenter phase II clinical trial (Miyagi-HBPCOG Trial-001). | 2015 | 2 |
| 17 | 2014 | 4 | |
| 18 | 2012 | 9 | |
| 19 | 2011 | 1 | |
| 20 | 1999 | 1 |
About Takeshi Naitoh
Takeshi Naitoh is a scholar working on Oncology, Gastroenterology and Surgery, having authored 234 papers that have together received 3.8k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (49 papers), Gastric Cancer Management and Outcomes (32 papers), Colorectal Cancer Surgical Treatments (27 papers), Pancreatitis Pathology and Treatment (23 papers), Colorectal Cancer Screening and Detection (19 papers), Neuroendocrine Tumor Research Advances (18 papers), Bariatric Surgery and Outcomes (17 papers) and Colorectal Cancer Treatments and Studies (15 papers). The work is most often cited by research in Oncology (1.7k citations), Surgery (1.5k citations) and Gastroenterology (151 citations). Takeshi Naitoh has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Michiaki Unno, Fuyuhiko Motoi, Yu Katayose, Shinichi Egawa, Chikashi Shibata, Michel Gagner, Masanori Suzuki, Masaharu Ishida, Masayuki Kakyo and Takaaki Abe. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and Journal of Clinical Oncology.
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.