Daniel Ebner
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Molecular Biology top 10%
- Protein Degradation and Inhibitors
- Pluripotent Stem Cells Research
- Ubiquitin and proteasome pathways
- CRISPR and Genetic Engineering
Papers in
-
- CRISPR and Genetic Engineering 6
- DNA Repair Mechanisms 5
- Pluripotent Stem Cells Research 4
- RNA Research and Splicing 3
- Cancer-related gene regulation 3
- Oncology 7
- Cancer-related Molecular Pathways 3
- Co-authors
- Neil O. Carragher (4 shared papers)Elaine Del Nery (1 shared paper)Leo Price (1 shared paper)Nathalie Aulner (1 shared paper)Gerardo Turcatti (1 shared paper)Marı́a C. Montoya (1 shared paper)Spencer Shorte (1 shared paper)Anthony M. Davies (1 shared paper)
- Journals
- Oncotarget (4 papers)Scientific Reports (3 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Reviews Drug Discovery (2 papers)Nature Communications (2 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Daniel Ebner
53 papers receiving 1.4k citations
Daniel Ebner's Hit Papers
Peers
Comparison fields: 5 of 126
- Biophysics 70
- Molecular Biology 733
- Cancer Research 144
- Oncology 225
- Cell Biology 107
Countries citing papers authored by Daniel Ebner
This map shows the geographic impact of Daniel Ebner'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 Daniel Ebner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ebner more than expected).
Fields of papers citing papers by Daniel Ebner
This network shows the impact of papers produced by Daniel Ebner. 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 Daniel Ebner. The network helps show where Daniel Ebner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Ebner, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Screening out irrelevant cell-based models of disease Hit paper breakdown → | 2016 | 382 |
| 2 | 2019 | 139 | |
| 3 | 2016 | 117 | |
| 4 | 2016 | 60 | |
| 5 | 2020 | 53 | |
| 6 | 2020 | 45 | |
| 7 | 2016 | 45 | |
| 8 | 2019 | 43 | |
| 9 | 2018 | 42 | |
| 10 | 2016 | 35 | |
| 11 | 2021 | 33 | |
| 12 | 2020 | 32 | |
| 13 | 2018 | 28 | |
| 14 | 2018 | 28 | |
| 15 | 2015 | 28 | |
| 16 | 2015 | 27 | |
| 17 | 2016 | 22 | |
| 18 | 2021 | 19 | |
| 19 | 2015 | 17 | |
| 20 | 2017 | 14 |
About Daniel Ebner
Daniel Ebner is a scholar working on Molecular Biology, Oncology, Physiology, Immunology and Cancer Research, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), DNA Repair Mechanisms (5 papers), Asthma and respiratory diseases (4 papers), Pluripotent Stem Cells Research (4 papers), T-cell and Retrovirus Studies (3 papers), RNA Research and Splicing (3 papers), Cancer-related Molecular Pathways (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Biophysics (70 citations), Molecular Biology (733 citations), Cancer Research (144 citations), Oncology (225 citations) and Cell Biology (107 citations). Daniel Ebner has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Neil O. Carragher, Elaine Del Nery, Leo Price, Nathalie Aulner, Gerardo Turcatti, Marı́a C. Montoya, Spencer Shorte, Anthony M. Davies, Péter Horváth and Vilja Pietiäinen. Their work appears in journals such as Oncotarget, Scientific Reports, Proceedings of the National Academy of Sciences, Nature Reviews Drug Discovery and Nature Communications.
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.