Christian A. Rees

21.6k total citations · 5 hit papers
10 papers, 16.0k citations indexed

About

Christian A. Rees is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Christian A. Rees has authored 10 papers receiving a total of 16.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Christian A. Rees's work include Gene expression and cancer classification (6 papers), Genomic variations and chromosomal abnormalities (4 papers) and Molecular Biology Techniques and Applications (3 papers). Christian A. Rees is often cited by papers focused on Gene expression and cancer classification (6 papers), Genomic variations and chromosomal abnormalities (4 papers) and Molecular Biology Techniques and Applications (3 papers). Christian A. Rees collaborates with scholars based in United States and Norway. Christian A. Rees's co-authors include David Botstein, Patrick O. Brown, Stefanie S. Jeffrey, Charles M. Perou, Matt van de Rijn, Alexander Pergamenschikov, Michael B. Eisen, Douglas T. Ross, Jonathan R. Pollack and Thérese Sørlie and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Christian A. Rees

9 papers receiving 15.5k citations

Hit Papers

Molecular portraits of human breast tumours 1999 2026 2008 2017 2000 2000 1999 2002 1999 2.5k 5.0k 7.5k 10.0k

Peers

Christian A. Rees
Christian A. Rees
Citations per year, relative to Christian A. Rees Christian A. Rees (= 1×) peers Alexander Pergamenschikov

Countries citing papers authored by Christian A. Rees

Since Specialization
Citations

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

Fields of papers citing papers by Christian A. Rees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian A. Rees. 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 Christian A. Rees. The network helps show where Christian A. Rees may publish in the future.

Co-authorship network of co-authors of Christian A. Rees

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

All Works

10 of 10 papers shown
1.
Williams, Cheryl, Hilde Johnsen, Lars A. Akslen, et al.. (2019). Molecular portraits of human breast tumours. UNC Libraries.
2.
Rees, Christian A., János Demeter, John C. Matese, David Botstein, & Gavin Sherlock. (2004). GeneXplorer: an interactive web application for microarray data visualization and analysis. BMC Bioinformatics. 5(1). 141–141. 15 indexed citations
3.
Rees, Christian A., et al.. (2004). Caryoscope: An Open Source Java application for viewing microarray data in a genomic context. BMC Bioinformatics. 5(1). 28 indexed citations
4.
Pollack, Jonathan R., Fan-Li Chou, Christian A. Rees, et al.. (2002). Physical mapping of genes in somatic cell radiation hybrids by comparative genomic hybridization to cDNA microarrays. Genome biology. 3(6). RESEARCH0026–RESEARCH0026. 9 indexed citations
5.
Pollack, Jonathan R., Thérese Sørlie, Charles M. Perou, et al.. (2002). Microarray analysis reveals a major direct role of DNA copy number alteration in the transcriptional program of human breast tumors. Proceedings of the National Academy of Sciences. 99(20). 12963–12968. 875 indexed citations breakdown →
6.
Ross, Douglas T., Uwe Scherf, Michael B. Eisen, et al.. (2000). Systematic variation in gene expression patterns in human cancer cell lines. Nature Genetics. 24(3). 227–235. 1634 indexed citations breakdown →
7.
Santos, Tala de los, Johannes Schweizer, Christian A. Rees, & Uta Francke. (2000). Small Evolutionarily Conserved RNA, Resembling C/D Box Small Nucleolar RNA, Is Transcribed from PWCR1, a Novel Imprinted Gene in the Prader-Willi Deletion Region, Which Is Highly Expressed in Brain. The American Journal of Human Genetics. 67(5). 1067–1082. 111 indexed citations
8.
Perou, Charles M., Thérese Sørlie, Michael B. Eisen, et al.. (2000). Molecular portraits of human breast tumours. Nature. 406(6797). 747–752. 11684 indexed citations breakdown →
9.
Perou, Charles M., Stefanie S. Jeffrey, Matt van de Rijn, et al.. (1999). Distinctive gene expression patterns in human mammary epithelial cells and breast cancers. Proceedings of the National Academy of Sciences. 96(16). 9212–9217. 1087 indexed citations breakdown →
10.
Pollack, Jonathan R., Charles M. Perou, Thérese Sørlie, et al.. (1999). Genome-wide analysis of DNA copy number variation in breast cancer using DNA microarrays. Nature Genetics. 23(S3). 69–69. 531 indexed citations breakdown →

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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