Ursula Eilers

798 citations
6 papers · 583 · h-index 5

Impact in

  • Neurology top 5%
    • Neuroblastoma Research and Treatments
  • Cell Biology top 10%
    • Microtubule and mitosis dynamics

Papers in

    • Ubiquitin and proteasome pathways 3
    • Genomics and Chromatin Dynamics 2
    • RNA and protein synthesis mechanisms 2
    • RNA Research and Splicing 1
    • Protein Degradation and Inhibitors 1
    • Cancer, Hypoxia, and Metabolism 1

Ursula Eilers

6 papers receiving 577 citations

Peers

Ursula Eilers
Comparison fields: 5 of 48
  • Neurology 173
  • Cell Biology 144
  • Cancer Research 113
  • Oncology 158
  • Molecular Biology 394
Replace Irena Horwacik with:
Irena Horwacik Poland
Scott M. Bahr United States
Robert Torka Germany
Syunji Hayashi Japan
Francesco Bonetto United States
Sari Jäämaa Finland
Elettra Bianchi Belgium
R. Masood United States
Xun Tian China
Erlina S. Pali United States
Ursula Eilers relative to Irena Horwacik Poland Irena Horwacik's profile →
Citations per field
00.5×
Irena Horwacik · 1×
Citations per year

Countries citing papers authored by Ursula Eilers

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Eilers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2009439
2 201652
3 202047
4 202125
5 202119
6 20241

About Ursula Eilers

Ursula Eilers is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Neurology and Oncology, having authored 6 papers that have together received 583 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Genomics and Chromatin Dynamics (2 papers), RNA and protein synthesis mechanisms (2 papers), Neuroblastoma Research and Treatments (1 paper), Antimicrobial Peptides and Activities (1 paper), RNA Research and Splicing (1 paper), Protein Degradation and Inhibitors (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Neurology (173 citations), Cell Biology (144 citations), Cancer Research (113 citations), Oncology (158 citations) and Molecular Biology (394 citations). Ursula Eilers has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Martin Eilers, Nikita Popov, Markus Brockmann, Roderick L. Beijersbergen, Johannes H. Schulte, Lars Schüttrumpf, Bernd Berwanger, Sebastian Horn, Tobias Otto and Holger Christiansen. Their work appears in journals such as Molecular Cell, Nucleic Acids Research, EMBO Molecular Medicine, Cancer Cell and Cancer 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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