Arek Kasprzyk
Impact in
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Aging top 10%
Papers in
-
- Genomics and Phylogenetic Studies 3
- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 3
- RNA and protein synthesis mechanisms 2
- RNA modifications and cancer 2
- Protein Degradation and Inhibitors 1
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- Cancer Genomics and Diagnostics 2
- Cancer, Hypoxia, and Metabolism 1
- Co-authors
- Damian Smedley (3 shared papers)Syed Haider (4 shared papers)Benoît Ballester (2 shared papers)Darin London (2 shared papers)Richard Holland (1 shared paper)Guðmundur Á. Þórisson (1 shared paper)Ewan Birney (3 shared papers)Junjun Zhang (1 shared paper)
- Journals
- Cancer Research (1 paper)Clinical Cancer Research (1 paper)Radiotherapy and Oncology (1 paper)BMC Genomics (1 paper)Science (1 paper)
- Partner nations
- United KingdomCanadaNetherlands
In The Last Decade
Arek Kasprzyk
10 papers receiving 1.6k citations
Arek Kasprzyk's Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 1.2k
- Aging 26
- Cancer Research 193
- Genetics 352
- Hematology 130
Countries citing papers authored by Arek Kasprzyk
This map shows the geographic impact of Arek 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 Arek Kasprzyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arek Kasprzyk more than expected).
Fields of papers citing papers by Arek Kasprzyk
This network shows the impact of papers produced by Arek 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 Arek Kasprzyk. The network helps show where Arek Kasprzyk may publish in the future.
Co-authors
The 25 scholars most cited alongside Arek 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 – biological queries made easy Hit paper breakdown → | 2009 | 639 |
| 2 | 2004 | 315 | |
| 3 | 2009 | 272 | |
| 4 | 2002 | 180 | |
| 5 | 2001 | 94 | |
| 6 | 2004 | 41 | |
| 7 | 2012 | 35 | |
| 8 | 2015 | 10 | |
| 9 | (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, Toronto, Canada, August 31 - September 3 2004 | 2004 | 6 |
| 10 | 2011 | 2 |
About Arek Kasprzyk
Arek Kasprzyk is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Computer Networks and Communications and Information Systems and Management, having authored 10 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (3 papers), Cancer Genomics and Diagnostics (2 papers), RNA and protein synthesis mechanisms (2 papers), RNA modifications and cancer (2 papers), Protein Degradation and Inhibitors (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Molecular Biology (1.2k citations), Aging (26 citations), Cancer Research (193 citations), Genetics (352 citations) and Hematology (130 citations). Arek Kasprzyk has collaborated with scholars based in United Kingdom, Canada and Netherlands. Frequent co-authors include Damian Smedley, Syed Haider, Benoît Ballester, Darin London, Richard Holland, Guðmundur Á. Þórisson, Ewan Birney, Junjun Zhang, Peter Rice and M. Hammond. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Radiotherapy and Oncology, BMC Genomics and Science.
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.