Richard Y. Ebright
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
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- Neuroblastoma Research and Treatments
Papers in
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- Protein Degradation and Inhibitors 1
- Signaling Pathways in Disease 1
- Cell death mechanisms and regulation 1
- Biochemical and Molecular Research 1
- Protein Kinase Regulation and GTPase Signaling 1
- Oncology 2
- Cancer Cells and Metastasis 1
- Co-authors
- T. Yvanka de Soysa (1 shared paper)Areum Han (1 shared paper)John T. Powers (1 shared paper)Kaloyan M. Tsanov (1 shared paper)Frederik Roels (1 shared paper)Ho-Chou Tu (1 shared paper)Jihan K. Osborne (1 shared paper)George Q. Daley (1 shared paper)
- Journals
- npj Precision Oncology (1 paper)Nature (1 paper)Nature Communications (1 paper)Cancer Discovery (1 paper)
- Partner nations
- United StatesCzechiaGermany
In The Last Decade
Richard Y. Ebright
4 papers receiving 213 citations
Peers
Comparison fields: 5 of 54
- Cancer Research 118
- Neurology 54
- Molecular Biology 157
- Oncology 45
- Applied Microbiology and Biotechnology 2
Countries citing papers authored by Richard Y. Ebright
This map shows the geographic impact of Richard Y. Ebright'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 Richard Y. Ebright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Y. Ebright more than expected).
Fields of papers citing papers by Richard Y. Ebright
This network shows the impact of papers produced by Richard Y. Ebright. 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 Richard Y. Ebright. The network helps show where Richard Y. Ebright may publish in the future.
Co-authors
The 25 scholars most cited alongside Richard Y. Ebright, 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 | 2016 | 138 | |
| 2 | 2020 | 65 | |
| 3 | 2023 | 7 | |
| 4 | 2025 | 4 | |
| 5 | Mitigate the risks of release | 2012 | 1 |
About Richard Y. Ebright
Richard Y. Ebright is a scholar working on Molecular Biology, Oncology, Genetics, Neurology and Pulmonary and Respiratory Medicine, having authored 5 papers that have together received 215 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (1 paper), Glioma Diagnosis and Treatment (1 paper), Protein Degradation and Inhibitors (1 paper), Neuroblastoma Research and Treatments (1 paper), Signaling Pathways in Disease (1 paper), Cell death mechanisms and regulation (1 paper), Biochemical and Molecular Research (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Cancer Research (118 citations), Neurology (54 citations), Molecular Biology (157 citations), Oncology (45 citations) and Applied Microbiology and Biotechnology (2 citations). Richard Y. Ebright has collaborated with scholars based in United States, Czechia and Germany. Frequent co-authors include T. Yvanka de Soysa, Areum Han, John T. Powers, Kaloyan M. Tsanov, Frederik Roels, Ho-Chou Tu, Jihan K. Osborne, George Q. Daley, Marc T. Seligson and Patrick Cahan. Their work appears in journals such as npj Precision Oncology, Nature, Nature Communications and Cancer Discovery.
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.