Daniel Schaft

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

Impact in

    • Genomics and Chromatin Dynamics
    • Congenital heart defects research
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • Fungal and yeast genetics research
    • Developmental Biology and Gene Regulation
    • Pluripotent Stem Cells Research
    • DNA Repair Mechanisms

Papers in

    • Advanced Proteomics Techniques and Applications 3
    • Genomics and Chromatin Dynamics 5
    • Congenital heart defects research 2
    • Fungal and yeast genetics research 1
    • Cancer-related gene regulation 1
    • Bioinformatics and Genomic Networks 1

Daniel Schaft

9 papers receiving 1.4k citations

Peers

Daniel Schaft
Comparison fields: 5 of 55
  • Molecular Biology 1.3k
  • Aging 6
  • Cell Biology 46
  • Spectroscopy 43
  • Cardiology and Cardiovascular Medicine 43
Replace Emile G. Magny with:
Emile G. Magny United Kingdom
Jacques Vaillier France
Ganesan Senthil Kumar United States
Sylvaine Fouix France
Massimo Buvoli United States
Fumio Osaka Japan
Maria L. McGlone United States
Sara De Palma Italy
Hiromi Kochiwa Japan
Daniel Schaft relative to Emile G. Magny United Kingdom Emile G. Magny's profile →
Citations per field
00.5×2×3.1×
Emile G. Magny · 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 2007422
3 2003139
4 2006128
5 2008101
6 200373
7 200259
8 200332
9 201014

About Daniel Schaft

Daniel Schaft is a scholar working on Spectroscopy, Molecular Biology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Advanced Proteomics Techniques and Applications (3 papers), Congenital heart defects research (2 papers), Fungal and yeast genetics research (1 paper), Cancer-related gene regulation (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Aging (6 citations), Cell Biology (46 citations), Spectroscopy (43 citations) and Cardiology and Cardiovascular Medicine (43 citations). Daniel Schaft has collaborated with scholars based in Germany, Norway and Australia. Frequent co-authors include Assen Roguev, Rein Aasland, W.W.M. Pim Pijnappel, A. Francis Stewart, Matthias S. Wilm, Adrian Francis Stewart, Anna Shevchenko, Andrej Shevchenko, Henrik Thomas and Çağrı Şakalar. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Biological Chemistry, Cell, Genome biology and The EMBO Journal.

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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