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 5
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- Radiation Therapy and Dosimetry 9
- Co-authors
- Eun Ho Kim (14 shared papers)Guillaume Varès (10 shared papers)Sang‐Gu Hwang (3 shared papers)Myonggeun Yoon (3 shared papers)Jae-Min Cho (3 shared papers)Yoshiya Horimoto (3 shared papers)Jin Su Kim (2 shared papers)Bing Wang (2 shared papers)
- Journals
- Oncotarget (4 papers)Cancers (3 papers)International Journal of Molecular Sciences (2 papers)OncoTargets and Therapy (2 papers)Radiotherapy and Oncology (2 papers)
- Partner nations
- South KoreaJapanFrance
In The Last Decade
Sei Sai
24 papers receiving 502 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 111
- Genetics 58
- Pulmonary and Respiratory Medicine 143
- Biotechnology 38
- Oncology 105
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 70 | |
| 2 | 2018 | 57 | |
| 3 | 2015 | 50 | |
| 4 | 2016 | 49 | |
| 5 | 2015 | 40 | |
| 6 | 2015 | 34 | |
| 7 | 2019 | 31 | |
| 8 | 2017 | 22 | |
| 9 | 2016 | 19 | |
| 10 | 2020 | 18 | |
| 11 | 2017 | 17 | |
| 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 | 9 |
| 17 | Basic and translational research on carbon-ion radiobiology. | 2023 | 9 |
| 18 | 2021 | 9 | |
| 19 | 2020 | 8 | |
| 20 | 2022 | 8 |
About Sei Sai
Sei Sai is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 24 papers that have together received 511 indexed citations. Recurring topics across this work include Radiation Therapy and Dosimetry (9 papers), MicroRNA in disease regulation (5 papers), Autophagy in Disease and Therapy (4 papers), Cancer Cells and Metastasis (4 papers), DNA Repair Mechanisms (3 papers), Cancer Research and Treatments (2 papers), Glioma Diagnosis and Treatment (2 papers) and Boron Compounds in Chemistry (2 papers). The work is most often cited by research in Cancer Research (111 citations), Genetics (58 citations), Pulmonary and Respiratory Medicine (143 citations), Biotechnology (38 citations) and Oncology (105 citations). Sei Sai has collaborated with scholars based in South Korea, Japan and France. Frequent co-authors include Eun Ho Kim, Guillaume Varès, Sang‐Gu Hwang, Myonggeun Yoon, Jae-Min Cho, Yoshiya Horimoto, Jin Su Kim, Bing Wang, Jeong‐Hwa Baek and Mitsuru Nenoi. Their work appears in journals such as Oncotarget, Cancers, International Journal of Molecular Sciences, OncoTargets and Therapy and Radiotherapy and 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.