Donát Alpár

2.9k total citations · 1 hit paper
50 papers, 1.0k citations indexed

About

Donát Alpár is a scholar working on Molecular Biology, Hematology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Donát Alpár has authored 50 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Hematology and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Donát Alpár's work include Cancer Genomics and Diagnostics (13 papers), Acute Lymphoblastic Leukemia research (12 papers) and Lymphoma Diagnosis and Treatment (12 papers). Donát Alpár is often cited by papers focused on Cancer Genomics and Diagnostics (13 papers), Acute Lymphoblastic Leukemia research (12 papers) and Lymphoma Diagnosis and Treatment (12 papers). Donát Alpár collaborates with scholars based in Hungary, Netherlands and Austria. Donát Alpár's co-authors include Christoph Bock, Christian Schmidl, Thomas Krausgruber, Linda C. Schuster, André F. Rendeiro, Johanna Klughammer, Paul Datlinger, Peter Traxler, László Pajor and Béla Kajtár and has published in prestigious journals such as Nature, Nature Communications and Blood.

In The Last Decade

Donát Alpár

41 papers receiving 1.0k citations

Hit Papers

Pooled CRISPR screening with single-cell transcriptome re... 2017 2026 2020 2023 2017 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Pooled CRISPR screening with single-cell transcriptome readout
    2017 655 citations Paul Datlinger, André F. Rendeiro et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donát Alpár Hungary 11 766 156 150 130 124 50 1.0k
Peyton Greenside United States 11 1.3k 1.7× 312 2.0× 238 1.6× 148 1.1× 208 1.7× 13 1.6k
Ronan Chaligné United States 13 656 0.9× 340 2.2× 196 1.3× 63 0.5× 153 1.2× 28 963
Judith Schütte United Kingdom 14 1.0k 1.3× 131 0.8× 168 1.1× 519 4.0× 185 1.5× 24 1.5k
Christopher A. Bristow United States 15 586 0.8× 224 1.4× 243 1.6× 215 1.7× 75 0.6× 30 995
Satyen H. Gohil United Kingdom 14 546 0.7× 226 1.4× 343 2.3× 116 0.9× 48 0.4× 30 966
Simon Raffel Germany 12 510 0.7× 147 0.9× 145 1.0× 414 3.2× 28 0.2× 27 920
Björn Schneider Germany 22 502 0.7× 174 1.1× 242 1.6× 295 2.3× 69 0.6× 63 1.2k
Allen Coleman United States 15 840 1.1× 153 1.0× 473 3.2× 169 1.3× 228 1.8× 23 1.3k
Patricia Le Baccon France 11 1.1k 1.5× 201 1.3× 42 0.3× 52 0.4× 530 4.3× 16 1.4k
Samuel D. Foster United Kingdom 8 980 1.3× 71 0.5× 157 1.0× 407 3.1× 83 0.7× 8 1.4k

Countries citing papers authored by Donát Alpár

Since Specialization
Citations

This map shows the geographic impact of Donát Alpár'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 Donát Alpár with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donát Alpár more than expected).

Fields of papers citing papers by Donát Alpár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donát Alpár. 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 Donát Alpár. The network helps show where Donát Alpár may publish in the future.

Co-authorship network of co-authors of Donát Alpár

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

All Works

20 of 20 papers shown
1.
Pinczés, László Imre, Botond Tímár, Márk Plander, et al.. (2025). Resistance mechanisms and clonal dynamics in mantle cell lymphoma treated with sequential BTKi and venetoclax therapy. The Journal of Pathology. 266(4-5). 395–404.
2.
Nagy, Ákos, Jacob Househam, Ann‐Marie Baker, et al.. (2024). Profiling of Copy Number Alterations Using Low-Coverage Whole-Genome Sequencing Informs Differential Diagnosis and Prognosis in Primary Cutaneous Follicle Center Lymphoma. Modern Pathology. 37(5). 100465–100465. 4 indexed citations
3.
Pipek, Orsolya, Laura Vízkeleti, Donát Alpár, et al.. (2023). The Driverless Triple-Wild-Type (BRAF, RAS, KIT) Cutaneous Melanoma: Whole Genome Sequencing Discoveries. Cancers. 15(6). 1712–1712. 6 indexed citations
4.
Pipek, Orsolya, Donát Alpár, Orsolya Rusz, et al.. (2023). Genomic Landscape of Normal and Breast Cancer Tissues in a Hungarian Pilot Cohort. International Journal of Molecular Sciences. 24(10). 8553–8553. 2 indexed citations
5.
Nagy, Ákos, Gregory J. Hogan, Jacob J. Chabon, et al.. (2023). Phased Variants Allow Robust Profiling of Circulating Tumor DNA in Untreated Follicular Lymphomas. Blood. 142(Supplement 1). 1626–1626. 1 indexed citations
6.
Alpár, Donát, et al.. (2023). Optikai genomtérképezés onkohematológiai megbetegedésekben. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 56(1). 29–34.
7.
Mansur, Marcela Braga, Caroline L. Furness, Sirintra Nakjang, et al.. (2021). The genomic landscape of teenage and young adult T‐cell acute lymphoblastic leukemia. Cancer Medicine. 10(14). 4864–4873. 9 indexed citations
8.
Steindl, Ariane, Donát Alpár, Gerwin Heller, et al.. (2021). Tumor mutational burden and immune infiltrates in renal cell carcinoma and matched brain metastases. ESMO Open. 6(2). 100057–100057. 14 indexed citations
9.
Rendeiro, André F., Thomas Krausgruber, Nikolaus Fortelny, et al.. (2020). Chromatin mapping and single-cell immune profiling define the temporal dynamics of ibrutinib response in CLL. Nature Communications. 11(1). 577–577. 64 indexed citations
10.
Haltrich, Irén, Béla Kajtár, Henriett Pikó, et al.. (2019). Comprehensive profiling of disease-relevant copy number aberrations for advanced clinical diagnostics of pediatric acute lymphoblastic leukemia. Modern Pathology. 33(5). 812–824. 9 indexed citations
11.
Atanesyan, Lilit, András Matolcsy, Béla Kajtár, et al.. (2018). High-Throughput Copy Number Profiling by Digital Multiplex Ligation-Dependent Probe Amplification in Multiple Myeloma. Journal of Molecular Diagnostics. 20(6). 777–788. 8 indexed citations
12.
Datlinger, Paul, André F. Rendeiro, Christian Schmidl, et al.. (2017). Pooled CRISPR screening with single-cell transcriptome readout. Nature Methods. 14(3). 297–301. 655 indexed citations breakdown →
13.
14.
Alpár, Donát, Dörte Wren, Luca Ermini, et al.. (2014). Clonal origins of ETV6-RUNX1+ acute lymphoblastic leukemia: studies in monozygotic twins. Leukemia. 29(4). 839–846. 38 indexed citations
15.
Alpár, Donát, Béla Kajtár, Béla Melegh, et al.. (2011). Automated signal pattern evaluation of a bladder cancer specific multiprobe‐fish assay applying a user‐trainable workstation. Microscopy Research and Technique. 75(6). 814–820. 9 indexed citations
16.
Kajtár, Béla, et al.. (2011). Evolutionary sequence of cytogenetic aberrations during the oncogenesis of plasma cell disorders. Direct evidence at single cell level. Leukemia Research. 35(8). 1114–1116. 4 indexed citations
17.
Somogyi, László, Béla Melegh, Donát Alpár, et al.. (2011). Urovysion: Considerations on modifying current evaluation scheme, including immunophenotypic targeting and locally set, statistically derived diagnostic criteria. Cytometry Part A. 79A(5). 375–382. 10 indexed citations
18.
Alpár, Donát, et al.. (2009). Detection of early precursors of t(12;21) positive pediatric acute lymphoblastic leukemia during follow‐up. Pediatric Blood & Cancer. 54(1). 158–160. 3 indexed citations
19.
20.
Kajtár, Béla, et al.. (2006). Automated fluorescent in situ hybridization (FISH) analysis of t(9;22)(q34;q11) in interphase nuclei. Cytometry Part A. 69A(6). 506–514. 37 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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