Daniel Eikel
Impact in
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- Pharmacological Effects and Toxicity Studies
Papers in
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- Histone Deacetylase Inhibitors Research 6
- Protein Degradation and Inhibitors 2
- Epigenetics and DNA Methylation 1
- Pluripotent Stem Cells Research 1
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- Pharmacological Effects and Toxicity Studies 7
- Co-authors
- Heinz Nau (10 shared papers)Alfonso Lampen (2 shared papers)Martin Michaelis (4 shared papers)Jindřich Činátl (4 shared papers)Hans Wilhelm Doerr (3 shared papers)Tatyana Suhan (2 shared papers)Robin S. B. Williams (2 shared papers)Alexander Reinisch (2 shared papers)
- Journals
- Saudi Pharmaceutical Journal (1 paper)Drug Metabolism and Disposition (1 paper)Cell Death and Differentiation (1 paper)Biochemical Pharmacology (1 paper)American Journal of Hematology (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Daniel Eikel
13 papers receiving 416 citations
Peers
Comparison fields: 5 of 70
- Pediatrics, Perinatology and Child Health 102
- Developmental Neuroscience 14
- Virology 16
- Psychiatry and Mental health 46
- Molecular Biology 224
Countries citing papers authored by Daniel Eikel
This map shows the geographic impact of Daniel Eikel'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 Eikel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Eikel more than expected).
Fields of papers citing papers by Daniel Eikel
This network shows the impact of papers produced by Daniel Eikel. 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 Eikel. The network helps show where Daniel Eikel may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Eikel, 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 | 2006 | 105 | |
| 2 | 2005 | 80 | |
| 3 | 2005 | 57 | |
| 4 | 2005 | 32 | |
| 5 | 2004 | 27 | |
| 6 | 2011 | 25 | |
| 7 | 2007 | 22 | |
| 8 | 2006 | 21 | |
| 9 | 2006 | 20 | |
| 10 | 2011 | 17 | |
| 11 | 2006 | 8 | |
| 12 | 2003 | 8 | |
| 13 | Computational characteristics of valproic acid binding to histone deacetylase | 2007 | 3 |
About Daniel Eikel
Daniel Eikel is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Infectious Diseases, Epidemiology and Hematology, having authored 13 papers that have together received 425 indexed citations. Recurring topics across this work include Pharmacological Effects and Toxicity Studies (7 papers), Histone Deacetylase Inhibitors Research (6 papers), HIV/AIDS drug development and treatment (3 papers), Protein Degradation and Inhibitors (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Acute Myeloid Leukemia Research (1 paper), Epigenetics and DNA Methylation (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Pediatrics, Perinatology and Child Health (102 citations), Developmental Neuroscience (14 citations), Virology (16 citations), Psychiatry and Mental health (46 citations) and Molecular Biology (224 citations). Daniel Eikel has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Heinz Nau, Alfonso Lampen, Martin Michaelis, Jindřich Činátl, Hans Wilhelm Doerr, Tatyana Suhan, Robin S. B. Williams, Alexander Reinisch, Uwe Michaelis and Greg J. Towers. Their work appears in journals such as Saudi Pharmaceutical Journal, Drug Metabolism and Disposition, Cell Death and Differentiation, Biochemical Pharmacology and American Journal of Hematology.
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.