Beate Friedrich

537 citations
9 papers · 444 · h-index 8

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Protease and Inhibitor Mechanisms
    • Nuclear Structure and Function
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics

Papers in

    • Nuclear Structure and Function 3
    • RNA Research and Splicing 2
    • Ubiquitin and proteasome pathways 1
    • Mitochondrial Function and Pathology 1
    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2

Beate Friedrich

9 papers receiving 440 citations

Peers

Beate Friedrich
Comparison fields: 5 of 64
  • Cancer Research 113
  • Molecular Biology 264
  • Immunology 63
  • Physiology 63
  • Immunology and Allergy 12
Replace Lianfeng Wu with:
Lianfeng Wu China
Hermann-Josef Gröne Germany
Nicki Gray United Kingdom
So Hee Dho South Korea
Ilya Kupershmidt Sweden
John K. Cheshire United Kingdom
De-Chang Wu China
Anderson R. Frank United States
Kinnimulki Vijayachandra United States
Alejandro García Carrancá Mexico
Beate Friedrich relative to Lianfeng Wu China Lianfeng Wu's profile →
Citations per field
00.5×1.5×2.1×
Lianfeng Wu · 1×
Citations per year

Countries citing papers authored by Beate Friedrich

Since Specialization
Citations

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

Fields of papers citing papers by Beate Friedrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2007115
2 199974
3 200471
4 200669
5 200554
6 201633
7 200515
8 200612
9 20031

About Beate Friedrich

Beate Friedrich is a scholar working on Molecular Biology, Immunology, Cancer Research, Neurology and Oncology, having authored 9 papers that have together received 444 indexed citations. Recurring topics across this work include Nuclear Structure and Function (3 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), RNA Research and Splicing (2 papers), Alzheimer's disease research and treatments (1 paper), Ubiquitin and proteasome pathways (1 paper), Bone and Dental Protein Studies (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Cancer Research (113 citations), Molecular Biology (264 citations), Immunology (63 citations), Physiology (63 citations) and Immunology and Allergy (12 citations). Beate Friedrich has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include Matthias Köhler, Enno Hartmann, Christina Quensel, Thomas Sommer, Reinhard Depping, Susann Schindler, Eric Metzen, Riku Fagerlund, I. Türk and Birgit Rudolph. Their work appears in journals such as Molecular and Cellular Biology, Journal of Hepatology, European Journal of Cancer, Journal of Biological Chemistry and Biochimica et Biophysica Acta (BBA) - Molecular Cell 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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