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 ⓘ
-
- Cell Image Analysis Techniques 3
-
- CRISPR and Genetic Engineering 6
- DNA Repair Mechanisms 5
- Pluripotent Stem Cells Research 4
- Protein Degradation and Inhibitors 3
- RNA Research and Splicing 3
- Co-authors
- Neil O. Carragher (4 shared papers)Gerardo Turcatti (1 shared paper)Leo Price (1 shared paper)Vilja Pietiäinen (1 shared paper)Anthony M. Davies (1 shared paper)Péter Horváth (1 shared paper)Carina von Schantz (1 shared paper)Marc Bickle (1 shared paper)
- Journals
- Oncotarget (4 papers)Scientific Reports (3 papers)Nature Communications (2 papers)Pharmacoepidemiology and Drug Safety (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Daniel Ebner
52 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Biophysics 74
- Molecular Biology 765
- Cancer Research 152
- Oncology 234
- 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 55 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 | 374 |
| 2 | 2019 | 136 | |
| 3 | 2016 | 116 | |
| 4 | 2016 | 60 | |
| 5 | 2020 | 50 | |
| 6 | 2016 | 45 | |
| 7 | 2020 | 42 | |
| 8 | 2019 | 42 | |
| 9 | 2018 | 41 | |
| 10 | 2016 | 33 | |
| 11 | 2021 | 32 | |
| 12 | 2020 | 32 | |
| 13 | 2018 | 28 | |
| 14 | 2018 | 27 | |
| 15 | 2015 | 27 | |
| 16 | 2015 | 26 | |
| 17 | 2016 | 21 | |
| 18 | 2021 | 19 | |
| 19 | 2015 | 16 | |
| 20 | 2015 | 13 |
About Daniel Ebner
Daniel Ebner is a scholar working on Biophysics, Molecular Biology, Developmental Neuroscience, Biological Psychiatry and Genetics, having authored 55 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), Cell Image Analysis Techniques (3 papers), Protein Degradation and Inhibitors (3 papers), RNA Research and Splicing (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Biophysics (74 citations), Molecular Biology (765 citations), Cancer Research (152 citations), Oncology (234 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, Gerardo Turcatti, Leo Price, Vilja Pietiäinen, Anthony M. Davies, Péter Horváth, Carina von Schantz, Marc Bickle, Spencer Shorte and Päivi Östling. Their work appears in journals such as Oncotarget, Scientific Reports, Nature Communications, Pharmacoepidemiology and Drug Safety and Proceedings of the National Academy of Sciences.
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.