Frauke Devens

1.5k total citations
17 papers, 1.0k citations indexed

About

Frauke Devens is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Frauke Devens has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Oncology. Recurrent topics in Frauke Devens's work include Genomic variations and chromosomal abnormalities (6 papers), Hedgehog Signaling Pathway Studies (3 papers) and RNA modifications and cancer (3 papers). Frauke Devens is often cited by papers focused on Genomic variations and chromosomal abnormalities (6 papers), Hedgehog Signaling Pathway Studies (3 papers) and RNA modifications and cancer (3 papers). Frauke Devens collaborates with scholars based in Germany, United Kingdom and United States. Frauke Devens's co-authors include Peter Lichter, Stefan Joos, Kolja Freier, Christof Hofele, Axel Benner, Christa Flechtenmacher, Bernhard Radlwimmer, Guido Reifenberger, Franz X. Bosch and Grischa Toedt and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Hepatology.

In The Last Decade

Frauke Devens

17 papers receiving 997 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frauke Devens Germany 15 657 306 302 204 153 17 1.0k
Jeff Bruce Canada 19 861 1.3× 726 2.4× 326 1.1× 154 0.8× 75 0.5× 24 1.3k
Molly A. Smith United States 12 668 1.0× 204 0.7× 227 0.8× 67 0.3× 132 0.9× 22 1.2k
Maciej Giefing Poland 18 631 1.0× 483 1.6× 396 1.3× 131 0.6× 50 0.3× 56 1.2k
Christopher D. Carey United States 12 588 0.9× 191 0.6× 593 2.0× 158 0.8× 161 1.1× 16 1.3k
Jiří Šáňa Czechia 22 1.1k 1.7× 1.1k 3.5× 204 0.7× 165 0.8× 89 0.6× 65 1.6k
Yong‐Oon Ahn South Korea 21 336 0.5× 105 0.3× 676 2.2× 128 0.6× 124 0.8× 45 1.4k
Björn Schneider Germany 22 502 0.8× 174 0.6× 242 0.8× 254 1.2× 47 0.3× 63 1.2k
Lars Schüttrumpf Germany 10 374 0.6× 157 0.5× 216 0.7× 55 0.3× 71 0.5× 14 785
Andrew Lawson United Kingdom 13 817 1.2× 698 2.3× 291 1.0× 340 1.7× 108 0.7× 23 1.5k
Adrian Ishkanian Canada 15 582 0.9× 396 1.3× 216 0.7× 54 0.3× 87 0.6× 32 1.3k

Countries citing papers authored by Frauke Devens

Since Specialization
Citations

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

Fields of papers citing papers by Frauke Devens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frauke Devens

This figure shows the co-authorship network connecting the top 25 collaborators of Frauke Devens. A scholar is included among the top collaborators of Frauke Devens based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frauke Devens. Frauke Devens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Kats, Ilia, Jan‐Philipp Mallm, Verena Körber, et al.. (2024). Spatio-temporal transcriptomics of chromothriptic SHH-medulloblastoma identifies multiple genetic clones that resist treatment and drive relapse. Nature Communications. 15(1). 10370–10370. 4 indexed citations
2.
Bolkestein, Michiel, John Wong, Verena Thewes, et al.. (2020). Chromothripsis in Human Breast Cancer. Cancer Research. 80(22). 4918–4931. 17 indexed citations
3.
Kolb, Thorsten, John Wong, Anna Jauch, et al.. (2020). A versatile system to introduce clusters of genomic double‐strand breaks in large cell populations. Genes Chromosomes and Cancer. 60(5). 303–313. 2 indexed citations
4.
Maaß, Kendra K., Paolo Ronchi, Frauke Devens, et al.. (2018). Altered nuclear envelope structure and proteasome function of micronuclei. Experimental Cell Research. 371(2). 353–363. 23 indexed citations
5.
Wan, Feng, Christel Herold‐Mende, Benito Campos, et al.. (2011). Association of Stem Cell-Related Markers and Survival in Astrocytic Gliomas. Biomarkers. 16(2). 136–143. 42 indexed citations
6.
Ernst, Aurélie, Benito Campos, Frauke Devens, et al.. (2010). De-repression of CTGF via the miR-17-92 cluster upon differentiation of human glioblastoma spheroid cultures. Oncogene. 29(23). 3411–3422. 121 indexed citations
7.
Freier, Kolja, Christof Hofele, Frauke Devens, et al.. (2010). Cytogenetic characterization of head and neck squamous cell carcinoma cell lines as model systems for the functional analyses of tumor‐associated genes. Journal of Oral Pathology and Medicine. 39(5). 382–389. 24 indexed citations
8.
Pfister, Stefan M., Marc Remke, Axel Benner, et al.. (2009). Outcome Prediction in Pediatric Medulloblastoma Based on DNA Copy-Number Aberrations of Chromosomes 6q and 17q and the MYC and MYCN Loci. Journal of Clinical Oncology. 27(10). 1627–1636. 198 indexed citations
9.
Freier, Kolja, Christa Flechtenmacher, Frauke Devens, et al.. (2009). Recurrent copy number gain of transcription factor SOX2 and corresponding high protein expression in oral squamous cell carcinoma. Genes Chromosomes and Cancer. 49(1). 9–16. 88 indexed citations
10.
Beinoravičiūtė-Kellner, Rasa, Stefan Joos, Frauke Devens, et al.. (2009). Overexpression of the Far Upstream Element Binding Protein 1 in Hepatocellular Carcinoma Is Required for Tumor Growth†. Hepatology. 50(4). 1121–1129. 79 indexed citations
11.
Pfister, Stefan M., Marc Remke, Grischa Toedt, et al.. (2007). Supratentorial primitive neuroectodermal tumors of the central nervous system frequently harbor deletions of the CDKN2A locus and other genomic aberrations distinct from medulloblastomas. Genes Chromosomes and Cancer. 46(9). 839–851. 53 indexed citations
12.
Devens, Frauke, Axel Benner, Elisabeth Gröne, et al.. (2006). Expression analysis of imbalanced genes in prostate carcinoma using tissue microarrays. British Journal of Cancer. 96(1). 82–88. 64 indexed citations
13.
Freier, Kolja, Christa Flechtenmacher, Frauke Devens, et al.. (2006). Recurrent NMYC copy number gain and high protein expression in basal cell carcinoma. Oncology Reports. 15(5). 1141–5. 17 indexed citations
14.
Freier, Kolja, Christa Flechtenmacher, Axel Walch, et al.. (2005). Copy number gains on 22q13 in adenoid cystic carcinoma of the salivary gland revealed by comparative genomic hybridization and tissue microarray analysis. Cancer Genetics and Cytogenetics. 159(1). 89–95. 29 indexed citations
15.
Freier, Kolja, Christa Flechtenmacher, Axel Walch, et al.. (2005). Differential KIT expression in histological subtypes of adenoid cystic carcinoma (ACC) of the salivary gland. Oral Oncology. 41(9). 934–939. 47 indexed citations
16.
Freier, Kolja, Franz X. Bosch, Christa Flechtenmacher, et al.. (2004). Distinct site-specific oncoprotein overexpression in head and neck squamous cell carcinoma: a tissue microarray analysis.. PubMed. 23(5A). 3971–7. 39 indexed citations
17.
Freier, Kolja, Stefan Joos, Christa Flechtenmacher, et al.. (2003). Tissue microarray analysis reveals site-specific prevalence of oncogene amplifications in head and neck squamous cell carcinoma.. PubMed. 63(6). 1179–82. 163 indexed citations

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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