Kevin Ebata
Impact in
- Reproductive Medicine top 2%
- Sperm and Testicular Function
- Genetics top 5%
Papers in
-
- Pluripotent Stem Cells Research 3
- Epigenetics and DNA Methylation 3
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- Lung Cancer Treatments and Mutations 7
- Co-authors
- Xiangfan Zhang (6 shared papers)Makoto Nagano (6 shared papers)Miguel Ramalho‐Santos (4 shared papers)Diana J. Laird (2 shared papers)Martin Hirst (2 shared papers)Anjana Rao (1 shared paper)Mohammad M. Karimi (1 shared paper)Sahasransu Mahapatra (1 shared paper)
- Journals
- Blood (3 papers)Annals of Oncology (3 papers)Biology of Reproduction (3 papers)Molecular Cancer Therapeutics (2 papers)Nature (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Kevin Ebata
25 papers receiving 1.9k citations
Kevin Ebata's Hit Papers
Peers
Comparison fields: 5 of 95
- Reproductive Medicine 288
- Genetics 169
- Aging 26
- Molecular Biology 975
- Pathology and Forensic Medicine 207
Countries citing papers authored by Kevin Ebata
This map shows the geographic impact of Kevin Ebata'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 Kevin Ebata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Ebata more than expected).
Fields of papers citing papers by Kevin Ebata
This network shows the impact of papers produced by Kevin Ebata. 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 Kevin Ebata. The network helps show where Kevin Ebata may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Ebata, 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 | Vitamin C induces Tet-dependent DNA demethylation and a blastocyst-like state in ES cells Hit paper breakdown → | 2013 | 687 |
| 2 | Larotrectinib for paediatric solid tumours harbouring NTRK gene fusions: phase 1 results from a multicentre, open-label, phase 1/2 study Hit paper breakdown → | 2018 | 395 |
| 3 | 2013 | 135 | |
| 4 | 2019 | 118 | |
| 5 | 2005 | 96 | |
| 6 | 2005 | 87 | |
| 7 | 2019 | 86 | |
| 8 | 2003 | 76 | |
| 9 | 2023 | 65 | |
| 10 | 2017 | 54 | |
| 11 | 2011 | 43 | |
| 12 | 2019 | 29 | |
| 13 | 2016 | 18 | |
| 14 | 2007 | 16 | |
| 15 | 2019 | 12 | |
| 16 | 2008 | 11 | |
| 17 | 2017 | 11 | |
| 18 | 2018 | 9 | |
| 19 | 2016 | 6 | |
| 20 | 2015 | 5 |
About Kevin Ebata
Kevin Ebata is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Public Health, Environmental and Occupational Health and Reproductive Medicine, having authored 25 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (7 papers), Sperm and Testicular Function (6 papers), Reproductive Biology and Fertility (6 papers), Cancer Genomics and Diagnostics (3 papers), Pluripotent Stem Cells Research (3 papers), Neuroblastoma Research and Treatments (3 papers), Epigenetics and DNA Methylation (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Reproductive Medicine (288 citations), Genetics (169 citations), Aging (26 citations), Molecular Biology (975 citations) and Pathology and Forensic Medicine (207 citations). Kevin Ebata has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Xiangfan Zhang, Makoto Nagano, Miguel Ramalho‐Santos, Diana J. Laird, Martin Hirst, Anjana Rao, Mohammad M. Karimi, Sahasransu Mahapatra, Matthew C. Lorincz and Angela Tam. Their work appears in journals such as Blood, Annals of Oncology, Biology of Reproduction, Molecular Cancer Therapeutics and Nature.
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.