A. Kasprzyk

5.5k total citations · 1 hit paper
9 papers, 1.9k citations indexed

About

A. Kasprzyk is a scholar working on Molecular Biology, Hematology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, A. Kasprzyk has authored 9 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Hematology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in A. Kasprzyk's work include Acute Lymphoblastic Leukemia research (4 papers), Acute Myeloid Leukemia Research (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). A. Kasprzyk is often cited by papers focused on Acute Lymphoblastic Leukemia research (4 papers), Acute Myeloid Leukemia Research (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). A. Kasprzyk collaborates with scholars based in United Kingdom, Canada and Belgium. A. Kasprzyk's co-authors include Sean Davis, Wolfgang Huber, Steffen Durinck, Yves Moreau, Bart De Moor, Alvis Brāzma, Jian Zhang, Joachim Baran, Yong Liang and Syed Haider and has published in prestigious journals such as Blood, British Journal of Haematology and Leukemia.

In The Last Decade

A. Kasprzyk

8 papers receiving 1.9k citations

Hit Papers

BioMart and Bioconductor: a powerful link between biologi... 2005 2026 2012 2019 2005 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Kasprzyk United Kingdom 6 1.3k 489 400 173 169 9 1.9k
Andrew J. Holloway Australia 10 1.3k 1.0× 293 0.6× 271 0.7× 176 1.0× 159 0.9× 14 1.8k
Rubén Nogales‐Cadenas Spain 17 1.1k 0.8× 399 0.8× 214 0.5× 124 0.7× 187 1.1× 20 1.6k
R. Krishna Murthy Karuturi Singapore 22 2.0k 1.6× 488 1.0× 259 0.6× 302 1.7× 133 0.8× 41 2.5k
Korbinian Grote Germany 11 1.4k 1.0× 237 0.5× 345 0.9× 200 1.2× 245 1.4× 16 2.0k
Giovanna Ambrosini Switzerland 22 1.3k 1.0× 276 0.6× 268 0.7× 206 1.2× 172 1.0× 37 1.8k
Kenneth Katz United States 14 2.1k 1.6× 396 0.8× 997 2.5× 238 1.4× 275 1.6× 19 3.2k
Lukas Habegger United States 17 1.5k 1.2× 538 1.1× 840 2.1× 95 0.5× 118 0.7× 21 2.3k
Xun Lan China 28 2.0k 1.5× 327 0.7× 363 0.9× 259 1.5× 272 1.6× 71 2.7k
Sandro J. de Souza Brazil 29 2.2k 1.7× 374 0.8× 358 0.9× 224 1.3× 239 1.4× 118 2.9k
Mihai Albu Canada 11 2.1k 1.6× 342 0.7× 275 0.7× 201 1.2× 225 1.3× 20 2.6k

Countries citing papers authored by A. Kasprzyk

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of A. Kasprzyk

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

All Works

9 of 9 papers shown
1.
2.
Zhang, Jian, Joachim Baran, A. Cros, et al.. (2011). International Cancer Genome Consortium Data Portal--a one-stop shop for cancer genomics data. Database. 2011(0). bar026–bar026. 447 indexed citations
3.
Zhang, Jian, Syed Haider, Joachim Baran, et al.. (2011). BioMart: a data federation framework for large collaborative projects. Database. 2011(0). bar038–bar038. 65 indexed citations
4.
Durinck, Steffen, Yves Moreau, A. Kasprzyk, et al.. (2005). BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis. Computer applications in the biosciences. 21(16). 3439–3440. 1376 indexed citations breakdown →
5.
Daly, Sarah B., J. S. Wainscoat, Elaine R. Levy, et al.. (2001). Physical and transcriptional characterization of the commonly deleted region in del(9q) AML.. Blood. 98. 1 indexed citations
6.
Kasprzyk, A., Christine J. Harrison, & LM Secker-Walker. (1999). Investigation of clonal involvement of myeloid cells in Philadelphia-positive and high hyperdiploid acute lymphoblastic leukemia. Leukemia. 13(12). 2000–2006. 14 indexed citations
7.
Kasprzyk, A., et al.. (1999). Myelodysplasia Following Treatment of Chronic Lymphocytic Leukaemia with Fludarabine. Hematology. 4(6). 495–497. 1 indexed citations
8.
Kasprzyk, A. & LM Secker-Walker. (1997). Increased sensitivity of minimal residual disease detection by interphase FISH in acute lymphoblastic leukemia with hyperdiploidy. Leukemia. 11(3). 429–435. 20 indexed citations
9.
Rhee, Frits van, A. Kasprzyk, H. J. Dickinson, et al.. (1995). Detection of the BCR‐ABL gene by reverse transcription/polymerase chain reaction and fluorescence in situ hybridization in a patient with Philadelphia chromosome negative acute lymphoblastic leukaemia. British Journal of Haematology. 90(1). 225–228. 16 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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