Daniel Ebner

7.6k total citations · 1 hit paper
55 papers, 1.4k citations indexed

About

Daniel Ebner is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Daniel Ebner has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Physiology. Recurrent topics in Daniel Ebner's work include CRISPR and Genetic Engineering (6 papers), DNA Repair Mechanisms (5 papers) and Pluripotent Stem Cells Research (4 papers). Daniel Ebner is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), DNA Repair Mechanisms (5 papers) and Pluripotent Stem Cells Research (4 papers). Daniel Ebner collaborates with scholars based in United Kingdom, Germany and United States. Daniel Ebner's co-authors include Neil O. Carragher, Anthony M. Davies, Marı́a C. Montoya, Leo Price, Vilja Pietiäinen, Päivi Östling, Elaine Del Nery, Péter Horváth, Spencer Shorte and Nathalie Aulner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Daniel Ebner

52 papers receiving 1.3k citations

Hit Papers

Screening out irrelevant cell-based models of disease 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Ebner United Kingdom 18 765 234 231 166 152 55 1.4k
Fabien Kuttler Switzerland 15 632 0.8× 302 1.3× 229 1.0× 257 1.5× 101 0.7× 24 1.5k
Holger Jastrow Germany 21 675 0.9× 173 0.7× 131 0.6× 102 0.6× 162 1.1× 46 1.4k
Steffen Sass Germany 18 858 1.1× 228 1.0× 100 0.4× 108 0.7× 269 1.8× 30 1.4k
Annapaola Andolfo Italy 22 716 0.9× 220 0.9× 80 0.3× 149 0.9× 340 2.2× 49 1.5k
Koen C. Oost Netherlands 9 520 0.7× 401 1.7× 245 1.1× 89 0.5× 163 1.1× 10 1.0k
Martijn Gloerich Netherlands 22 852 1.1× 234 1.0× 96 0.4× 122 0.7× 82 0.5× 27 1.5k
Denise Serra United States 16 652 0.9× 458 2.0× 217 0.9× 83 0.5× 83 0.5× 22 1.4k
Sutheera Ratanasirintrawoot United States 8 1.3k 1.7× 116 0.5× 144 0.6× 109 0.7× 229 1.5× 10 1.5k
Laura Novellasdemunt United Kingdom 13 952 1.2× 330 1.4× 165 0.7× 71 0.4× 400 2.6× 17 1.4k
Ronghua Sun China 17 569 0.7× 331 1.4× 71 0.3× 137 0.8× 156 1.0× 20 1.2k

Countries citing papers authored by Daniel Ebner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Ebner

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Ebner. A scholar is included among the top collaborators of Daniel Ebner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Ebner. Daniel Ebner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Baronio, Roberta, et al.. (2024). Optimized protocol for CRISPR knockout of human iPSC-derived macrophages. STAR Protocols. 5(1). 102903–102903.
4.
Erridge, Sara, Geoff S. Higgins, Joelle P. Straehla, et al.. (2023). Glioblastoma and the search for non-hypothesis driven combination therapeutics in academia. Frontiers in Oncology. 12. 1075559–1075559. 8 indexed citations
5.
Clements, Julie, Ann Doherty, Daniel Ebner, et al.. (2023). Longitudinal characterization of TK6 cells sequentially adapted to animal product-free, chemically defined culture medium: considerations for genotoxicity studies. SHILAP Revista de lepidopterología. 5. 1177586–1177586. 3 indexed citations
6.
Sharma, Abhishek, Muhammad Khairul Ramlee, Martin R. Higgs, et al.. (2023). C16orf72/HAPSTR1/TAPR1 functions with BRCA1/Senataxin to modulate replication-associated R-loops and confer resistance to PARP disruption. Nature Communications. 14(1). 5003–5003. 5 indexed citations
7.
Ravikumar, Balaguru, Richard Elliott, John C. Dawson, et al.. (2023). Chemogenomic library design strategies for precision oncology, applied to phenotypic profiling of glioblastoma patient cells. iScience. 26(7). 107209–107209. 4 indexed citations
8.
Millar, Val, Tryfon Zarganes‐Tzitzikas, David Brough, et al.. (2021). A phenotypic high-content, high-throughput screen identifies inhibitors of NLRP3 inflammasome activation. Scientific Reports. 11(1). 15319–15319. 10 indexed citations
9.
Rieunier, Guillaume, Xiaoning Wu, Stephanie B. Hatch, et al.. (2021). Targeting IGF Perturbs Global Replication through Ribonucleotide Reductase Dysfunction. Cancer Research. 81(8). 2128–2141. 9 indexed citations
10.
Eyre, David W., Sheila Lumley, Denise O’Donnell, et al.. (2021). Stringent thresholds in SARS-CoV-2 IgG assays lead to under-detection of mild infections. BMC Infectious Diseases. 21(1). 187–187. 19 indexed citations
11.
Whalley, Justin P., et al.. (2021). Genome-wide CRISPR/Cas9-knockout in human induced Pluripotent Stem Cell (iPSC)-derived macrophages. Scientific Reports. 11(1). 4245–4245. 32 indexed citations
12.
Ebner, Daniel, et al.. (2021). Value Creation by Dynamic Pricing through Digitization and Industry-Wide Perspective. International Journal of Economics and Finance. 14(1). 115–115. 2 indexed citations
13.
Arnaiz, Esther, Ana Miar, Esther Bridges, et al.. (2021). Differential effects of HIF2α antagonist and HIF2α silencing in renal cancer and sensitivity to repurposed drugs. BMC Cancer. 21(1). 896–896. 5 indexed citations
14.
Buti, Ludovico, T.M. Leissing, R. Camille Brewer, et al.. (2020). CagA–ASPP2 complex mediates loss of cell polarity and favors H. pylori colonization of human gastric organoids. Proceedings of the National Academy of Sciences. 117(5). 2645–2655. 42 indexed citations
15.
Ebner, Daniel, et al.. (2019). Identification of anticancer drugs to radiosensitise BRAF-wild-type and mutant colorectal cancer. Cancer Biology and Medicine. 16(2). 234–234. 7 indexed citations
16.
Frago, Susana, Madeleine Strickland, Jennifer Hughes, et al.. (2016). Functional evolution of IGF2:IGF2R domain 11 binding generates novel structural interactions and a specific IGF2 antagonist. Proceedings of the National Academy of Sciences. 113(20). E2766–75. 21 indexed citations
17.
Shanks, Emma, Robin Ketteler, & Daniel Ebner. (2015). Academic drug discovery within the United Kingdom: a reassessment. Nature Reviews Drug Discovery. 14(7). 510–510. 16 indexed citations
18.
Herr, Patrick, Cecilia Lundin, Bastiaan Evers, et al.. (2015). A genome-wide IR-induced RAD51 foci RNAi screen identifies CDC73 involved in chromatin remodeling for DNA repair. Cell Discovery. 1(1). 15034–15034. 26 indexed citations
19.
Staa, Tjeerd van, et al.. (1997). A study of the longitudinal utilization and switching-patterns of non-steroidal anti-inflammatory drugs using a pharmacy based approach. Pharmacoepidemiology and Drug Safety. 6(4). 263–268. 7 indexed citations
20.
Sagelsdorff, Peter, P. Dollenmeier, Daniel Ebner, et al.. (1990). Lack of covalent binding to DNA of di-n-octyltin dichloride (DOTC) in vivo and in vitro. Toxicology Letters. 50(2-3). 179–188. 7 indexed citations

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.

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