Frauke Henjes

773 citations
18 papers · 583 · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Advanced Biosensing Techniques and Applications
    • Gene expression and cancer classification
    • Circular RNAs in diseases
    • Bioinformatics and Genomic Networks

Papers in

Frauke Henjes

18 papers receiving 576 citations

Peers

Frauke Henjes
Comparison fields: 5 of 85
  • Cancer Research 134
  • Molecular Biology 388
  • Radiology, Nuclear Medicine and Imaging 84
  • Structural Biology 4
  • Spectroscopy 45
Replace Shi‐Jian Ding with:
Shi‐Jian Ding China
Marta Lomnytska Sweden
Richard Théolis Canada
Bernadette Keitz United States
Amanda L. Creech United States
Michał Marczyk Poland
Alexander Valdman Sweden
Jonathan Tammela United States
Yulia Newton United States
Thalia Erbes Germany
Frauke Henjes relative to Shi‐Jian Ding China Shi‐Jian Ding's profile →
Citations per field
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Shi‐Jian Ding · 1×
Citations per year

Countries citing papers authored by Frauke Henjes

Since Specialization
Citations

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

Fields of papers citing papers by Frauke Henjes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2012166
2 201263
3 200759
4 201051
5 201435
6 201733
7 201432
8 200829
9 201527
10 201026
11 201219
12 201617
13 200810
14 20118
15 20104
16 20162
17 20111
18 20161

About Frauke Henjes

Frauke Henjes is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Rheumatology, Surgery and Oncology, having authored 18 papers that have together received 583 indexed citations. Recurring topics across this work include Advanced Biosensing Techniques and Applications (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Advanced Proteomics Techniques and Applications (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Knee injuries and reconstruction techniques (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), HER2/EGFR in Cancer Research (2 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Cancer Research (134 citations), Molecular Biology (388 citations), Radiology, Nuclear Medicine and Imaging (84 citations), Structural Biology (4 citations) and Spectroscopy (45 citations). Frauke Henjes has collaborated with scholars based in Germany, United Kingdom and Sweden. Frequent co-authors include Ulrike Korf, Stefan Wiemann, Christian Schmidt, Tim Beißbarth, Heiko Mannsperger, Jitao David Zhang, Aoife Ward, Ulrich Tschulena, Emőke-Ágnes Horvát and Stefan Uhlmann. Their work appears in journals such as Bioinformatics, PROTEOMICS, Journal of Proteome Research, BMC Systems Biology and Scientific 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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