Katja Beck

2.2k citations
6 papers · 235 · h-index 3

Impact in

    • Microtubule and mitosis dynamics
    • Cellular transport and secretion
    • Nuclear Structure and Function
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • DNA Repair Mechanisms
    • RNA modifications and cancer
    • RNA regulation and disease

Papers in

    • Chromatin Remodeling and Cancer 2
    • RNA Research and Splicing 1
    • Bioinformatics and Genomic Networks 1
    • Peptidase Inhibition and Analysis 2

Katja Beck

5 papers receiving 233 citations

Peers

Katja Beck
Comparison fields: 5 of 52
  • Cell Biology 69
  • Molecular Biology 194
  • Aging 3
  • Behavioral Neuroscience 5
  • Applied Psychology 5
Replace Nikolaos Parisis with:
Nikolaos Parisis France
Teresa Lutz Germany
Shin Morioka Japan
Anna Marklund Sweden
Janina Laborenz Germany
Marisa Encarnação Portugal
Emmanuelle Dubosclard France
Ashish R. Deshwar Canada
Yoel Hirsch United States
Ramona Salvarinova Canada
Katja Beck relative to Nikolaos Parisis France Nikolaos Parisis's profile →
Citations per field
00.5×3.5×
Nikolaos Parisis · 1×
Citations per year

Countries citing papers authored by Katja Beck

Since Specialization
Citations

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

Fields of papers citing papers by Katja Beck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2011195
2 199725
3 202013
4 20181
5 20251
6 20180

About Katja Beck

Katja Beck is a scholar working on Molecular Biology, Oncology, Epidemiology, Cancer Research and Genetics, having authored 6 papers that have together received 235 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (2 papers), Cancer Genomics and Diagnostics (2 papers), Meningioma and schwannoma management (2 papers), Chromatin Remodeling and Cancer (2 papers), Heart Rate Variability and Autonomic Control (1 paper), RNA Research and Splicing (1 paper), Bioinformatics and Genomic Networks (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Cell Biology (69 citations), Molecular Biology (194 citations), Aging (3 citations), Behavioral Neuroscience (5 citations) and Applied Psychology (5 citations). Katja Beck has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Bernd Bodenmiller, T. K. B. Gandhi, Péter Horváth, Ulrike Kutay, Wolfram Antonin, Ruedi Aebersold, Eva Laurell, Ksenia Krupina, Ralf Veit and Harald Rau. Their work appears in journals such as Neuro-Oncology, Cancers, Cell, Biomolecules and European Journal of Applied Physiology.

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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