Adrian Alexa
Impact in
- Aging top 10%
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
- Epigenetics and DNA Methylation
- RNA Research and Splicing
Papers in
-
- Bioinformatics and Genomic Networks 3
- Ubiquitin and proteasome pathways 1
- Glycosylation and Glycoproteins Research 1
- Genetics 2
- Chronic Lymphocytic Leukemia Research 1
- Evolution and Genetic Dynamics 1
- Co-authors
- Jörg Rahnenführer (4 shared papers)Thomas Lengauer (3 shared papers)Mark T. Ross (1 shared paper)David J. McBride (1 shared paper)Jennifer Becq (1 shared paper)Russell Grocock (1 shared paper)Anna Schuh (1 shared paper)Ruth Clifford (1 shared paper)
In The Last Decade
Adrian Alexa
8 papers receiving 2.1k citations
Adrian Alexa's Hit Papers
Peers
Comparison fields: 5 of 122
- Aging 35
- Molecular Biology 1.1k
- Cancer Research 217
- Genetics 115
- Genetics 309
Countries citing papers authored by Adrian Alexa
This map shows the geographic impact of Adrian Alexa'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 Adrian Alexa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Alexa more than expected).
Fields of papers citing papers by Adrian Alexa
This network shows the impact of papers produced by Adrian Alexa. 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 Adrian Alexa. The network helps show where Adrian Alexa may publish in the future.
Co-authors
The 25 scholars most cited alongside Adrian Alexa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Improved scoring of functional groups from gene expression data by decorrelating GO graph structure Hit paper breakdown → | 2006 | 1568 |
| 2 | Gene set enrichment analysis with topGO | 2006 | 219 |
| 3 | 2012 | 214 | |
| 4 | 2013 | 50 | |
| 5 | 2007 | 46 | |
| 6 | Protein phosphatase and TRAIL receptor genes as new candidate tumor genes on chromosome 8p in prostate cancer. | 2008 | 35 |
| 7 | 2008 | 12 | |
| 8 | 2016 | 12 |
About Adrian Alexa
Adrian Alexa is a scholar working on Molecular Biology, Genetics, Genetics, Cellular and Molecular Neuroscience and Neurology, having authored 8 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Chronic Lymphocytic Leukemia Research (1 paper), Ubiquitin and proteasome pathways (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Glycosylation and Glycoproteins Research (1 paper), Evolution and Genetic Dynamics (1 paper), Cancer Genomics and Diagnostics (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Aging (35 citations), Molecular Biology (1.1k citations), Cancer Research (217 citations), Genetics (115 citations) and Genetics (309 citations). Adrian Alexa has collaborated with scholars based in Germany, Italy and Japan. Frequent co-authors include Jörg Rahnenführer, Thomas Lengauer, Mark T. Ross, David J. McBride, Jennifer Becq, Russell Grocock, Anna Schuh, Ruth Clifford, Irina Khrebtukova and Shujun Luo. Their work appears in journals such as Bioinformatics, PLoS ONE, Blood, PLoS Biology and Molecular Cancer.
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.