A. Kasprzyk
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Genomics and Phylogenetic Studies
Papers in
-
- Gene expression and cancer classification 2
- Bioinformatics and Genomic Networks 2
- Genomics and Phylogenetic Studies 2
- Advanced biosensing and bioanalysis techniques 2
- Epigenetics and DNA Methylation 1
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- Acute Myeloid Leukemia Research 3
- Chronic Myeloid Leukemia Treatments 3
- Co-authors
- Yves Moreau (1 shared paper)Wolfgang Huber (1 shared paper)Sean Davis (1 shared paper)Steffen Durinck (1 shared paper)Alvis Brāzma (1 shared paper)Bart De Moor (1 shared paper)Syed Haider (2 shared papers)Joachim Baran (2 shared papers)
- Journals
- Leukemia (2 papers)Database (2 papers)Computer applications in the biosciences (1 paper)British Journal of Haematology (1 paper)Blood (1 paper)
- Partner nations
- United KingdomCanadaBelgium
In The Last Decade
A. Kasprzyk
8 papers receiving 2.0k citations
A. Kasprzyk's Hit Papers
Peers
Comparison fields: 5 of 116
- Cancer Research 431
- Molecular Biology 1.2k
- Genetics 367
- Aging 22
- Immunology 147
Countries citing papers authored by A. Kasprzyk
This map shows the geographic impact of A. Kasprzyk'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 A. Kasprzyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Kasprzyk more than expected).
Fields of papers citing papers by A. Kasprzyk
This network shows the impact of papers produced by A. Kasprzyk. 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 A. Kasprzyk. The network helps show where A. Kasprzyk may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Kasprzyk, 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 | BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis Hit paper breakdown → | 2005 | 1435 |
| 2 | 2011 | 481 | |
| 3 | 2011 | 72 | |
| 4 | 1997 | 20 | |
| 5 | 1995 | 17 | |
| 6 | 1999 | 16 | |
| 7 | Physical and transcriptional characterization of the commonly deleted region in del(9q) AML. | 2001 | 1 |
| 8 | 1999 | 1 | |
| 9 | 2025 | 0 |
About A. Kasprzyk
A. Kasprzyk is a scholar working on Molecular Biology, Hematology, Public Health, Environmental and Occupational Health, Surgery and Genetics, having authored 9 papers that have together received 2.0k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (4 papers), Acute Myeloid Leukemia Research (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Phylogenetic Studies (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (431 citations), Molecular Biology (1.2k citations), Genetics (367 citations), Aging (22 citations) and Immunology (147 citations). A. Kasprzyk has collaborated with scholars based in United Kingdom, Canada and Belgium. Frequent co-authors include Yves Moreau, Wolfgang Huber, Sean Davis, Steffen Durinck, Alvis Brāzma, Bart De Moor, Syed Haider, Joachim Baran, Jian Zhang and J. Hsu. Their work appears in journals such as Leukemia, Database, Computer applications in the biosciences, British Journal of Haematology and Blood.
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.