Julius Gräsel

415 citations
3 papers · 126 · h-index 3

Impact in

    • Acute Myeloid Leukemia Research
    • Protein Degradation and Inhibitors
    • Histone Deacetylase Inhibitors Research
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways
    • Cell death mechanisms and regulation
    • Genomics and Chromatin Dynamics
    • Cancer-related gene regulation

Papers in

    • Cancer-related gene regulation 2
    • Ubiquitin and proteasome pathways 2
    • Cell death mechanisms and regulation 1
    • Protein Degradation and Inhibitors 1
    • Acute Myeloid Leukemia Research 2

Julius Gräsel

3 papers receiving 126 citations

Peers

Julius Gräsel
Comparison fields: 5 of 29
  • Hematology 50
  • Molecular Biology 107
  • Oncology 21
  • Genetics 4
  • Pathology and Forensic Medicine 6
Replace Marisa Actis with:
Marisa Actis United States
Loretta S. Li United States
Ulf-Henrik Mellqvist Sweden
Patrick Blaney United States
Titouan Cazaubiel France
Jacqueline Jeha Canada
Emil Hermansen Denmark
Konstanze Doehner Germany
Cecilia A. Castellano United States
Anna Pickin United Kingdom
Julius Gräsel relative to Marisa Actis United States Marisa Actis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Julius Gräsel

Since Specialization
Citations

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

Fields of papers citing papers by Julius Gräsel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Julius Gräsel, 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 Julius Gräsel Line = papers co-authored together Julius Gräsel links everyone, so they are left out of the graph.

All Works

About Julius Gräsel

Julius Gräsel is a scholar working on Molecular Biology, Hematology, Computational Theory and Mathematics, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 126 indexed citations. Recurring topics across this work include Cancer-related gene regulation (2 papers), Acute Myeloid Leukemia Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Cell death mechanisms and regulation (1 paper), Computational Drug Discovery Methods (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Hematology (50 citations), Molecular Biology (107 citations), Oncology (21 citations), Genetics (4 citations) and Pathology and Forensic Medicine (6 citations). Julius Gräsel has collaborated with scholars based in Australia, Netherlands and Germany. Frequent co-authors include Beat Bornhäuser, Greg Hoffman, Swann Gaulis, Moriko Ito, Vanessa J. Craig, Júlia Aguadé-Gorgorió, Louise Barys, Masato Murakami, William R. Sellers and F. Hofmann. Their work appears in journals such as Science Advances, Leukemia and Cell Death and Differentiation.

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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