Anna Petráčková

482 total citations
18 papers, 302 citations indexed

About

Anna Petráčková is a scholar working on Genetics, Immunology and Rheumatology. According to data from OpenAlex, Anna Petráčková has authored 18 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 8 papers in Immunology and 6 papers in Rheumatology. Recurrent topics in Anna Petráčková's work include Chronic Lymphocytic Leukemia Research (7 papers), Immune Response and Inflammation (4 papers) and Systemic Lupus Erythematosus Research (4 papers). Anna Petráčková is often cited by papers focused on Chronic Lymphocytic Leukemia Research (7 papers), Immune Response and Inflammation (4 papers) and Systemic Lupus Erythematosus Research (4 papers). Anna Petráčková collaborates with scholars based in Czechia, United States and Poland. Anna Petráčková's co-authors include Eva Kriegová, Tomáš Papajík, Lenka Sedlaříková, Pavel Hořák, Petr Gajdoš, František Mrázek, Regina Fillerová, Miloš Kudělka, Josef Zadražil and Pavel Krömer and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Scientific Reports.

In The Last Decade

Anna Petráčková

16 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Petráčková Czechia 10 105 102 97 73 72 18 302
Susana Lisboa Portugal 12 110 1.0× 84 0.8× 241 2.5× 93 1.3× 48 0.7× 25 433
Michelle Ki United States 5 62 0.6× 34 0.3× 139 1.4× 65 0.9× 46 0.6× 8 347
Maja K. Blake United States 9 56 0.5× 56 0.5× 103 1.1× 90 1.2× 136 1.9× 16 302
Adéla Berková Czechia 11 127 1.2× 140 1.4× 172 1.8× 76 1.0× 75 1.0× 26 391
Elena Sebastián Spain 9 70 0.7× 63 0.6× 55 0.6× 82 1.1× 92 1.3× 34 260
Jean‐Loup Huret France 6 36 0.3× 92 0.9× 165 1.7× 49 0.7× 40 0.6× 13 348
Laurianne Scourzic France 8 193 1.8× 75 0.7× 287 3.0× 157 2.2× 154 2.1× 9 545
Lisa Bruns Germany 6 50 0.5× 90 0.9× 64 0.7× 63 0.9× 167 2.3× 8 300
María T. Ardañaz Spain 7 54 0.5× 130 1.3× 166 1.7× 69 0.9× 38 0.5× 9 324
Eva Lumbreras Spain 10 42 0.4× 62 0.6× 146 1.5× 59 0.8× 26 0.4× 23 306

Countries citing papers authored by Anna Petráčková

Since Specialization
Citations

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

Fields of papers citing papers by Anna Petráčková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Petráčková

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

All Works

18 of 18 papers shown
1.
Petráčková, Anna, et al.. (2025). Rare germline ATM variants predispose to secondary cancer in chronic lymphocytic leukaemia patients. Cancer Communications. 45(6). 669–672.
2.
Petráčková, Anna, Miloš Kudělka, Kateřina Langová, et al.. (2025). Blood gene expression of Toll-like receptors in SLE patients with lupus nephritis or neuropsychiatric systemic lupus erythematosus. Arthritis Research & Therapy. 27(1). 41–41.
3.
Petráčková, Anna, et al.. (2024). High cumulative glucocorticoid dose is associated with increased levels of inflammation-related mediators in active rheumatoid arthritis. Frontiers in Immunology. 15. 1505615–1505615. 2 indexed citations
4.
Petráčková, Anna, et al.. (2023). Long-term environmental metal exposure is associated with hypomethylation of CpG sites in NFKB1 and other genes related to oncogenesis. Clinical Epigenetics. 15(1). 126–126. 9 indexed citations
5.
Lampson, Benjamin L., Aditi Gupta, Svitlana Tyekucheva, et al.. (2022). Rare Germline ATM Variants Influence the Development of Chronic Lymphocytic Leukemia. Journal of Clinical Oncology. 41(5). 1116–1128. 14 indexed citations
6.
Petráčková, Anna, et al.. (2022). Rare germline ATM variants of uncertain significance in chronic lymphocytic leukaemia and other cancers. British Journal of Haematology. 199(3). 371–381. 3 indexed citations
7.
Kriegová, Eva, Regina Fillerová, Jiří Minařík, et al.. (2021). Whole-genome optical mapping of bone-marrow myeloma cells reveals association of extramedullary multiple myeloma with chromosome 1 abnormalities. Scientific Reports. 11(1). 14671–14671. 21 indexed citations
8.
Petráčková, Anna, et al.. (2021). Revisiting Richter transformation in the era of novel CLL agents. Blood Reviews. 49. 100824–100824. 23 indexed citations
9.
Petráčková, Anna, et al.. (2020). Revealed heterogeneity in rheumatoid arthritis based on multivariate innate signature analysis. Clinical and Experimental Rheumatology. 38(2). 289–298. 12 indexed citations
10.
Sedlaříková, Lenka, et al.. (2020). Resistance-Associated Mutations in Chronic Lymphocytic Leukemia Patients Treated With Novel Agents. Frontiers in Oncology. 10. 894–894. 46 indexed citations
11.
Petráčková, Anna, Pavel Hořák, Regina Fillerová, et al.. (2020). Revealed heterogeneity in rheumatoid arthritis based on multivariate innate signature analysis.. Clinical and Experimental Rheumatology. 38(2). 289–298. 11 indexed citations
12.
Berková, Adéla, Aleš Obr, Michael Svatoň, et al.. (2020). Concurrent TP53 and CDKN2A Gene Aberrations in Newly Diagnosed Mantle Cell Lymphoma Correlate with Chemoresistance and Call for Innovative Upfront Therapy. Cancers. 12(8). 2120–2120. 29 indexed citations
13.
Hořák, Pavel, et al.. (2019). Modulatory Effect of the Euro-Lupus Low-Dose Intravenous Cyclophosphamide Regimen on Circulating Immune Cells in Systemic Lupus Erythematosus. Archivum Immunologiae et Therapiae Experimentalis. 67(6). 415–425. 2 indexed citations
14.
Petráčková, Anna, et al.. (2019). Standardization of Sequencing Coverage Depth in NGS: Recommendation for Detection of Clonal and Subclonal Mutations in Cancer Diagnostics. Frontiers in Oncology. 9. 851–851. 82 indexed citations
15.
Petráčková, Anna, Pavel Hořák, Regina Fillerová, et al.. (2019). Cross-Disease Innate Gene Signature: Emerging Diversity and Abundance in RA Comparing to SLE and SSc. Journal of Immunology Research. 2019. 1–10. 8 indexed citations
16.
Fillerová, Regina, Anna Petráčková, Tomáš Papajík, et al.. (2019). Next-Generation Optical Mapping Reveals Numerous Previously Unrecognizable Structural Variants in Chronic Lymphocytic Leukemia. Blood. 134(Supplement_1). 5450–5450. 1 indexed citations
17.
Obr, Aleš, Pavel Klener, Eva Kriegová, et al.. (2019). High TP53 Mutation Load Predicts Primary Refractory Mantle Cell Lymphoma. Blood. 134(Supplement_1). 3995–3995. 1 indexed citations
18.
Petráčková, Anna, Petr Gajdoš, Pavel Krömer, et al.. (2017). Serum protein pattern associated with organ damage and lupus nephritis in systemic lupus erythematosus revealed by PEA immunoassay. Clinical Proteomics. 14(1). 32–32. 38 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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