Daniel Schaft

2.1k citations
9 papers · 1.4k · h-index 9

Impact in

    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • Congenital heart defects research
    • Cancer-related gene regulation
    • RNA modifications and cancer
    • Fungal and yeast genetics research
    • RNA Research and Splicing
  • Aging top 10%

Papers in

    • Genomics and Chromatin Dynamics 5
    • Cancer-related gene regulation 3
    • Epigenetics and DNA Methylation 3
    • Congenital heart defects research 2
    • Fungal and yeast genetics research 2
    • Bioinformatics and Genomic Networks 1

Daniel Schaft

9 papers receiving 1.4k citations

Peers

Daniel Schaft
Comparison fields: 5 of 65
  • Molecular Biology 1.3k
  • Aging 29
  • Cell Biology 79
  • Epidemiology 133
  • Genetics 111
Replace Shuhao Zhu with:
Shuhao Zhu Austria
Dilani G. Gamage United States
Craig A. Eyster United States
Anthony Youzhi Cheng United States
Zemfira N. Karamysheva United States
Roman J. Szczęsny Poland
Andrea Coluccio Germany
Hiroshi Sembongi United Kingdom
Aline Marnef France
Michał Lubas Denmark
Daniel Schaft relative to Shuhao Zhu Austria Shuhao Zhu's profile →
Citations per field
00.5×2×3×3.6×
Shuhao Zhu · 1×
Citations per year

Countries citing papers authored by Daniel Schaft

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 24 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.

Border = papers with Daniel Schaft Line = papers co-authored together Daniel Schaft links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2001477
2 2007421
3 2003138
4 2006127
5 2008100
6 200373
7 200261
8 200332
9 201012

About Daniel Schaft

Daniel Schaft is a scholar working on Molecular Biology, Cell Biology, Spectroscopy, Electrical and Electronic Engineering and Epidemiology, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Cancer-related gene regulation (3 papers), Epigenetics and DNA Methylation (3 papers), Congenital heart defects research (2 papers), Fungal and yeast genetics research (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Bioinformatics and Genomic Networks (1 paper) and Wind Turbine Control Systems (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Aging (29 citations), Cell Biology (79 citations), Epidemiology (133 citations) and Genetics (111 citations). Daniel Schaft has collaborated with scholars based in Germany, Australia and France. Frequent co-authors include Rein Aasland, W.W.M. Pim Pijnappel, A. Francis Stewart, Matthias S. Wilm, Andriy Shevchenko, Adrian Francis Stewart, Anna Shevchenko, Assen Roguev, Andrej Shevchenko and Henrik Thomas. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Biological Chemistry, Genome biology, The EMBO Journal 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.

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