Arek Kasprzyk

4.2k total citations · 1 hit paper
10 papers, 1.6k citations indexed

About

Arek Kasprzyk is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Arek Kasprzyk has authored 10 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Arek Kasprzyk's work include Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (3 papers) and Genomics and Phylogenetic Studies (3 papers). Arek Kasprzyk is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (3 papers) and Genomics and Phylogenetic Studies (3 papers). Arek Kasprzyk collaborates with scholars based in United Kingdom, Canada and Netherlands. Arek Kasprzyk's co-authors include Damian Smedley, Syed Haider, Benoît Ballester, Darin London, Guðmundur Á. Þórisson, Richard Holland, Ewan Birney, Peter Rice, Junjun Zhang and William Spooner and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Arek Kasprzyk

10 papers receiving 1.6k citations

Hit Papers

BioMart – biological queries made easy 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arek Kasprzyk United Kingdom 8 1.2k 352 193 130 124 10 1.6k
Michael N. Edmonson United States 17 922 0.8× 413 1.2× 219 1.1× 165 1.3× 60 0.5× 26 1.5k
Karyn Mégy United Kingdom 13 790 0.7× 287 0.8× 149 0.8× 106 0.8× 135 1.1× 25 1.3k
J. Reich Germany 19 1.4k 1.2× 245 0.7× 135 0.7× 53 0.4× 186 1.5× 50 1.9k
James D.R. Knight Canada 23 2.2k 1.8× 320 0.9× 125 0.6× 54 0.4× 95 0.8× 26 2.8k
A. Kasprzyk United Kingdom 6 1.3k 1.1× 400 1.1× 489 2.5× 59 0.5× 80 0.6× 9 1.9k
Scott McCuine United States 7 1.9k 1.6× 215 0.6× 120 0.6× 49 0.4× 72 0.6× 8 2.1k
Zhen‐Yuan Lin Canada 21 2.1k 1.8× 284 0.8× 166 0.9× 46 0.4× 83 0.7× 30 2.6k
Pascal W.T.C. Jansen Netherlands 26 2.6k 2.2× 265 0.8× 392 2.0× 111 0.9× 117 0.9× 55 3.0k
Shaheynoor Talukder Canada 10 2.7k 2.3× 330 0.9× 276 1.4× 38 0.3× 212 1.7× 11 3.0k
Judith B. Zaugg Germany 26 2.1k 1.8× 472 1.3× 286 1.5× 114 0.9× 224 1.8× 56 2.7k

Countries citing papers authored by Arek Kasprzyk

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Arek Kasprzyk

This figure shows the co-authorship network connecting the top 25 collaborators of Arek Kasprzyk. A scholar is included among the top collaborators of Arek Kasprzyk 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 Arek Kasprzyk. Arek Kasprzyk 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.
Starmans, Maud H. W., Melania Pintilie, Michelle Chan‐Seng‐Yue, et al.. (2015). Integrating RAS Status into Prognostic Signatures for Adenocarcinomas of the Lung. Clinical Cancer Research. 21(6). 1477–1486. 10 indexed citations
2.
Starmans, Maud H. W., Kenneth C. Chu, Syed Haider, et al.. (2012). The prognostic value of temporal in vitro and in vivo derived hypoxia gene-expression signatures in breast cancer. Radiotherapy and Oncology. 102(3). 436–443. 35 indexed citations
3.
4.
Smedley, Damian, Syed Haider, Benoît Ballester, et al.. (2009). BioMart – biological queries made easy. BMC Genomics. 10(1). 22–22. 639 indexed citations breakdown →
5.
Haider, Syed, Benoît Ballester, Damian Smedley, et al.. (2009). BioMart Central Portal—unified access to biological data. Nucleic Acids Research. 37(suppl_2). W23–W27. 272 indexed citations
6.
Kasprzyk, Arek, Damian Keefe, Damian Smedley, et al.. (2004). EnsMart: A Generic System for Fast and Flexible Access to Biological Data. Genome Research. 14(1). 160–169. 315 indexed citations
7.
Choi, Byron, et al.. (2004). (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, Toronto, Canada, August 31 - September 3 2004. 6 indexed citations
8.
Zimdahl, Heike, Gerald Nyakatura, Petra Brandt, et al.. (2004). A SNP Map of the Rat Genome Generated from cDNA Sequences. Science. 303(5659). 807–807. 41 indexed citations
9.
Boultwood, Jacqueline, Carrie Fidler, Fiona Watkins, et al.. (2002). Narrowing and genomic annotation of the commonly deleted region of the 5q− syndrome. Blood. 99(12). 4638–4641. 180 indexed citations
10.
Futreal, P. Andrew, Arek Kasprzyk, Ewan Birney, et al.. (2001). Cancer and genomics. Nature. 409(6822). 850–852. 94 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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