Julia Schaft

762 citations
10 papers · 648 · h-index 5

Impact in

    • Epigenetics and DNA Methylation
    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics
    • Cancer-related gene regulation
    • Pluripotent Stem Cells Research
    • RNA modifications and cancer
    • Animal Genetics and Reproduction
    • Genetics and Neurodevelopmental Disorders

Papers in

Julia Schaft

9 papers receiving 630 citations

Peers

Julia Schaft
Comparison fields: 5 of 69
  • Molecular Biology 545
  • Genetics 162
  • Aging 9
  • Hematology 31
  • Cell Biology 39
Replace Sapna Vyas with:
Sapna Vyas United Kingdom
Grace Salsbury United Kingdom
Lan-Hsin Wang Taiwan
Alla Madich United Kingdom
Per-Henrik Holmqvist Sweden
Precilla D’Souza United States
Katia Carmine Simmen Canada
Yanzhen Cui United States
Hidehiko Sugino Japan
R. Campbell Tait United Kingdom
Julia Schaft relative to Sapna Vyas United Kingdom Sapna Vyas's profile →
Citations per field
00.5×1.6×
Sapna Vyas · 1×
Citations per year

Countries citing papers authored by Julia Schaft

Since Specialization
Citations

This map shows the geographic impact of Julia 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 Julia Schaft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Schaft more than expected).

Fields of papers citing papers by Julia Schaft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia 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 Julia Schaft. The network helps show where Julia Schaft may publish in the future.

Co-authors

The 21 scholars most cited alongside Julia 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 Julia Schaft Line = papers co-authored together Julia Schaft links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2006235
2 2004171
3 2001137
4 200786
5 20145
6 20095
7 20163
8 20113
9 20162
10 20231

About Julia Schaft

Julia Schaft is a scholar working on Molecular Biology, Management of Technology and Innovation, Genetics, Biotechnology and Physiology, having authored 10 papers that have together received 648 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Pluripotent Stem Cells Research (6 papers), Animal Genetics and Reproduction (2 papers), Epigenetics and DNA Methylation (2 papers), Tissue Engineering and Regenerative Medicine (1 paper), RNA modifications and cancer (1 paper), Transgenic Plants and Applications (1 paper) and Entrepreneurship Studies and Influences (1 paper). The work is most often cited by research in Molecular Biology (545 citations), Genetics (162 citations), Aging (9 citations), Hematology (31 citations) and Cell Biology (39 citations). Julia Schaft has collaborated with scholars based in Germany, Canada and United Kingdom. Frequent co-authors include Frank van der Hoeven, Adrian Francis Stewart, Stefan P. Glaser, Konstantinos Anastassiadis, Sandra Lubitz, Peter Gruß, Ruth Ashery‐Padan, Siew‐Lan Ang, Rein Aasland and Kristina Vintersten. Their work appears in journals such as Stem Cell Research, genesis, Molecular Biology of the Cell, Current Protocols in Stem Cell Biology and EMBO Reports.

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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