Sei Sai
Impact in
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- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- Glioma Diagnosis and Treatment
Papers in ⓘ
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- MicroRNA in disease regulation 6
- Co-authors
- Eun Ho Kim (14 shared papers)Guillaume Varès (11 shared papers)Yoshiya Horimoto (3 shared papers)Myonggeun Yoon (3 shared papers)Sang‐Gu Hwang (3 shared papers)Mitsuru Nenoi (3 shared papers)Bing Wang (2 shared papers)Shigeru Yamada (2 shared papers)
- Journals
- Oncotarget (4 papers)Cancers (3 papers)Radiotherapy and Oncology (2 papers)International Journal of Molecular Sciences (2 papers)OncoTargets and Therapy (2 papers)
- Partner nations
- South KoreaJapanFrance
In The Last Decade
Sei Sai
25 papers receiving 484 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 128
- Genetics 70
- Oncology 137
- Biotechnology 43
- Pulmonary and Respiratory Medicine 159
Countries citing papers authored by Sei Sai
This map shows the geographic impact of Sei Sai'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 Sei Sai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sei Sai more than expected).
Fields of papers citing papers by Sei Sai
This network shows the impact of papers produced by Sei Sai. 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 Sei Sai. The network helps show where Sei Sai may publish in the future.
Co-authors
The 25 scholars most cited alongside Sei Sai, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 66 | |
| 2 | 2018 | 52 | |
| 3 | 2016 | 49 | |
| 4 | 2015 | 49 | |
| 5 | 2015 | 40 | |
| 6 | 2015 | 34 | |
| 7 | 2019 | 30 | |
| 8 | 2016 | 19 | |
| 9 | 2017 | 18 | |
| 10 | 2020 | 16 | |
| 11 | 2017 | 16 | |
| 12 | 2017 | 14 | |
| 13 | 2020 | 11 | |
| 14 | 2019 | 11 | |
| 15 | Combination of carbon-ion beam and dual tyrosine kinase inhibitor, lapatinib, effectively destroys HER2 positive breast cancer stem-like cells. | 2020 | 10 |
| 16 | Molecular mechanisms underlying the enhancement of carbon ion beam radiosensitivity of osteosarcoma cells by miR-29b. | 2020 | 10 |
| 17 | 2021 | 9 | |
| 18 | Basic and translational research on carbon-ion radiobiology. | 2023 | 9 |
| 19 | 2020 | 8 | |
| 20 | 2020 | 6 |
About Sei Sai
Sei Sai is a scholar working on Structural Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Biotechnology, having authored 25 papers that have together received 492 indexed citations. Recurring topics across this work include Radiation Therapy and Dosimetry (11 papers), MicroRNA in disease regulation (6 papers), Cancer Cells and Metastasis (6 papers), Autophagy in Disease and Therapy (5 papers), Cancer-related Molecular Pathways (3 papers), Extracellular vesicles in disease (3 papers), DNA Repair Mechanisms (3 papers) and Boron Compounds in Chemistry (2 papers). The work is most often cited by research in Cancer Research (128 citations), Genetics (70 citations), Oncology (137 citations), Biotechnology (43 citations) and Pulmonary and Respiratory Medicine (159 citations). Sei Sai has collaborated with scholars based in South Korea, Japan and France. Frequent co-authors include Eun Ho Kim, Guillaume Varès, Yoshiya Horimoto, Myonggeun Yoon, Sang‐Gu Hwang, Mitsuru Nenoi, Bing Wang, Shigeru Yamada, Jeong‐Hwa Baek and Jin Su Kim. Their work appears in journals such as Oncotarget, Cancers, Radiotherapy and Oncology, International Journal of Molecular Sciences and OncoTargets and Therapy.
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.