Daniel Schaft
Impact in
- Aging top 10%
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Fungal and yeast genetics research
- Cancer-related gene regulation
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- DNA Repair Mechanisms
Papers in
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- Genomics and Chromatin Dynamics 5
- Epigenetics and DNA Methylation 3
- Cancer-related gene regulation 3
- Fungal and yeast genetics research 3
- Bioinformatics and Genomic Networks 2
- Plant Gene Expression Analysis 1
- Protein Structure and Dynamics 1
-
- Biotin and Related Studies 1
- Co-authors
- Assen Roguev (6 shared papers)Anna Shevchenko (6 shared papers)A. Francis Stewart (6 shared papers)Rein Aasland (2 shared papers)W.W.M. Pim Pijnappel (2 shared papers)Andrej Shevchenko (3 shared papers)Hille Tekotte (1 shared paper)Matthias Wilm (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Molecular & Cellular Proteomics (2 papers)Genome biology (1 paper)Genes & Development (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- GermanyNorwayUnited States
In The Last Decade
Daniel Schaft
7 papers receiving 744 citations
Peers
Comparison fields: 5 of 51
- Aging 21
- Molecular Biology 699
- Cell Biology 65
- Plant Science 99
- Geriatrics and Gerontology 10
Countries citing papers authored by Daniel Schaft
This map shows the geographic impact of Daniel Schaft'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 Schaft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schaft more than expected).
Fields of papers citing papers by Daniel Schaft
This network shows the impact of papers produced by Daniel Schaft. 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 Schaft. The network helps show where Daniel Schaft may publish in the future.
Co-authors
The 23 scholars most cited alongside Daniel Schaft, 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 | 2001 | 218 | |
| 2 | 2003 | 134 | |
| 3 | 2006 | 125 | |
| 4 | 2008 | 100 | |
| 5 | 2003 | 79 | |
| 6 | 2002 | 58 | |
| 7 | 2003 | 35 |
About Daniel Schaft
Daniel Schaft is a scholar working on Molecular Biology, Cell Biology, Spectroscopy, Biomedical Engineering and Infectious Diseases, having authored 7 papers that have together received 749 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related gene regulation (3 papers), Fungal and yeast genetics research (3 papers), Bioinformatics and Genomic Networks (2 papers), Plant Gene Expression Analysis (1 paper), Protein Structure and Dynamics (1 paper) and Biotin and Related Studies (1 paper). The work is most often cited by research in Aging (21 citations), Molecular Biology (699 citations), Cell Biology (65 citations), Plant Science (99 citations) and Geriatrics and Gerontology (10 citations). Daniel Schaft has collaborated with scholars based in Germany, Norway and United States. Frequent co-authors include Assen Roguev, Anna Shevchenko, A. Francis Stewart, Rein Aasland, W.W.M. Pim Pijnappel, Andrej Shevchenko, Hille Tekotte, Matthias Wilm, Bertrand Séraphin and Andriy Shevchenko. Their work appears in journals such as Journal of Biological Chemistry, Molecular & Cellular Proteomics, Genome biology, Genes & Development and Nucleic Acids Research.
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.