Takehiko Sakai
- Cancer Research top 10%
- Breast Cancer Treatment Studies 26
- Pathology and Forensic Medicine top 10%
- Breast Lesions and Carcinomas 20
- Aquatic Science top 10%
- Fish Biology and Ecology Studies 5
- Dermatology top 10%
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- HER2/EGFR in Cancer Research 5
- Cancer Risks and Factors 4
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- Identification and Quantification in Food 5
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- Breast Implant and Reconstruction 5
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- Genetic diversity and population structure 5
- Co-authors
- Motohiro MiharaFutoshi AkiyamaKazumi HosoyaRie HoriiEnver ÖzkurtStephanie M. WongMehra GolshanTakuji Iwase
- Journals
- SHILAP Revista de lepidopterología (1 paper)Cancer Research (2 papers)Scientific Reports (1 paper)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Takehiko Sakai
47 papers receiving 488 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 192
- Pathology and Forensic Medicine 162
- Aquatic Science 57
- Dermatology 60
- Oncology 148
Countries citing papers authored by Takehiko Sakai
This map shows the geographic impact of Takehiko Sakai'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 Takehiko Sakai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takehiko Sakai more than expected).
Fields of papers citing papers by Takehiko Sakai
This network shows the impact of papers produced by Takehiko Sakai. 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 Takehiko Sakai. The network helps show where Takehiko Sakai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takehiko Sakai, 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 | 2024 | 2 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 6 | |
| 6 | 2021 | 0 | |
| 7 | 2020 | 8 | |
| 8 | 2019 | 26 | |
| 9 | 2019 | 20 | |
| 10 | 2019 | 12 | |
| 11 | A Case of Breast Cancer with Hemosiderin Deposits Resembling Calcifications on Mammography | 2017 | 2 |
| 12 | 2016 | 3 | |
| 13 | 2015 | 0 | |
| 14 | 2015 | 2 | |
| 15 | 2014 | 10 | |
| 16 | 2009 | 2 | |
| 17 | 2006 | 4 | |
| 18 | 2005 | 28 | |
| 19 | 2005 | 22 | |
| 20 | 2002 | 3 |
About Takehiko Sakai
Takehiko Sakai is a scholar working on Cancer Research, Pathology and Forensic Medicine and Aquatic Science, having authored 54 papers that have together received 503 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (26 papers), Breast Lesions and Carcinomas (20 papers), Identification and Quantification in Food (5 papers), HER2/EGFR in Cancer Research (5 papers), Breast Implant and Reconstruction (5 papers), Fish Biology and Ecology Studies (5 papers), Genetic diversity and population structure (5 papers) and Cancer Risks and Factors (4 papers). The work is most often cited by research in Cancer Research (192 citations), Pathology and Forensic Medicine (162 citations) and Aquatic Science (57 citations). Takehiko Sakai has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Motohiro Mihara, Futoshi Akiyama, Kazumi Hosoya, Rie Horii, Enver Özkurt, Stephanie M. Wong, Mehra Golshan, Takuji Iwase, Masahiko Tanabe and Takayuki Ueno. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Scientific Reports.
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.