C. Becker

782 total citations
9 papers, 484 citations indexed

About

C. Becker is a scholar working on Molecular Biology, Genetics and Nephrology. According to data from OpenAlex, C. Becker has authored 9 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 1 paper in Nephrology. Recurrent topics in C. Becker's work include Genetic and Kidney Cyst Diseases (3 papers), Renal and related cancers (3 papers) and RNA and protein synthesis mechanisms (3 papers). C. Becker is often cited by papers focused on Genetic and Kidney Cyst Diseases (3 papers), Renal and related cancers (3 papers) and RNA and protein synthesis mechanisms (3 papers). C. Becker collaborates with scholars based in Germany, United States and Türkiye. C. Becker's co-authors include Peter Nürnberg, Gudrun Nürnberg, Friedhelm Hildebrandt, Kálmán Tory, Sophie Saunier, Corinne Antignac, Verena Matejas, Ayşı̇n Bakkaloğlu, Martin Griebel and K Hasselbacher and has published in prestigious journals such as Nucleic Acids Research, Kidney International and Human Molecular Genetics.

In The Last Decade

C. Becker

9 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Becker Germany 9 334 276 125 68 52 9 484
Lana Strmecki United Kingdom 7 442 1.3× 312 1.1× 29 0.2× 37 0.5× 43 0.8× 11 533
Valeska Frank Germany 11 389 1.2× 396 1.4× 51 0.4× 92 1.4× 51 1.0× 12 488
Patricia Outeda United States 11 448 1.3× 472 1.7× 59 0.5× 59 0.9× 145 2.8× 20 672
Anupma Gupta United States 6 291 0.9× 113 0.4× 261 2.1× 5 0.1× 32 0.6× 6 552
Shu Yau United Kingdom 8 130 0.4× 90 0.3× 35 0.3× 38 0.6× 13 0.3× 10 258
Elena Fedorova United States 8 301 0.9× 176 0.6× 22 0.2× 12 0.2× 33 0.6× 11 358
Kalpana Gowrishankar India 10 172 0.5× 94 0.3× 16 0.1× 10 0.1× 17 0.3× 23 305
Dorothée Cailley France 8 166 0.5× 215 0.8× 6 0.0× 73 1.1× 13 0.3× 10 388
Shreya Raman United States 7 174 0.5× 156 0.6× 29 0.2× 48 0.7× 28 0.5× 15 257
N.J. Barton United Kingdom 7 264 0.8× 303 1.1× 15 0.1× 51 0.8× 15 0.3× 10 453

Countries citing papers authored by C. Becker

Since Specialization
Citations

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

Fields of papers citing papers by C. Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Becker

This figure shows the co-authorship network connecting the top 25 collaborators of C. Becker. A scholar is included among the top collaborators of C. Becker 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 C. Becker. C. Becker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Charton, Karine, et al.. (2016). Exploiting the CRISPR/Cas9 system to study alternative splicingin vivo: application to titin. Human Molecular Genetics. 25(20). ddw280–ddw280. 19 indexed citations
2.
Bundschuh, Ralf, Janine Altmüller, C. Becker, Peter Nürnberg, & Jonatha M. Gott. (2011). Complete characterization of the edited transcriptome of the mitochondrion of Physarum polycephalum using deep sequencing of RNA. Nucleic Acids Research. 39(14). 6044–6055. 24 indexed citations
3.
Pawlik, Barbara, Asif Mir, Hina Iqbal, et al.. (2010). A Novel Familial <i>BBS12</i> Mutation Associated with a Mild Phenotype: Implications for Clinical and Molecular Diagnostic Strategies. Molecular Syndromology. 1(1). 27–34. 30 indexed citations
4.
Otto, Edgar A., Kálmán Tory, Massimo Attanasio, et al.. (2009). Hypomorphic mutations in meckelin (MKS3/TMEM67) cause nephronophthisis with liver fibrosis (NPHP11). Journal of Medical Genetics. 46(10). 663–670. 98 indexed citations
5.
Tory, Kálmán, Caroline Rousset‐Rouvière, Marie-Claire Gübler, et al.. (2009). Mutations of NPHP2 and NPHP3 in infantile nephronophthisis. Kidney International. 75(8). 839–847. 73 indexed citations
6.
Stuhrmann, Manfred, Iqbal A Bukhari, Kai Brakensiek, et al.. (2008). Dyschromatosis universalis hereditaria: evidence for autosomal recessive inheritance and identification of a new locus on chromosome 12q21‐q23. Clinical Genetics. 73(6). 566–572. 31 indexed citations
7.
Hoyer, Juliane, Alexander Dreweke, C. Becker, et al.. (2007). Molecular karyotyping in patients with mental retardation using 100K single-nucleotide polymorphism arrays. Journal of Medical Genetics. 44(10). 629–636. 56 indexed citations
8.
Uyguner, Zehra Oya, Hülya Kayserili, Birsen Karaman, et al.. (2007). A new locus for autosomal recessive non‐syndromic mental retardation maps to 1p21.1–p13.3. Clinical Genetics. 71(3). 212–219. 17 indexed citations
9.
Hasselbacher, K, Roger C. Wiggins, Verena Matejas, et al.. (2006). Recessive missense mutations in LAMB2 expand the clinical spectrum of LAMB2-associated disorders. Kidney International. 70(6). 1008–1012. 136 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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