Eva Kriegová

2.6k total citations
119 papers, 1.8k citations indexed

About

Eva Kriegová is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Eva Kriegová has authored 119 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 33 papers in Immunology and 23 papers in Genetics. Recurrent topics in Eva Kriegová's work include Chronic Lymphocytic Leukemia Research (21 papers), Sarcoidosis and Beryllium Toxicity Research (15 papers) and Lymphoma Diagnosis and Treatment (14 papers). Eva Kriegová is often cited by papers focused on Chronic Lymphocytic Leukemia Research (21 papers), Sarcoidosis and Beryllium Toxicity Research (15 papers) and Lymphoma Diagnosis and Treatment (14 papers). Eva Kriegová collaborates with scholars based in Czechia, Armenia and United Kingdom. Eva Kriegová's co-authors include Martin Petřek, Jiří Gallo, Tereza Tománková, Regina Fillerová, Tomáš Papajík, Anna Petráčková, František Mrázek, Miloš Kudělka, Julius Lukeš and Gayane Manukyan and has published in prestigious journals such as Blood, Bioinformatics and PLoS ONE.

In The Last Decade

Eva Kriegová

110 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Kriegová Czechia 25 620 363 295 233 221 119 1.8k
Jean‐Christophe Pagès France 28 1.0k 1.7× 264 0.7× 304 1.0× 186 0.8× 215 1.0× 89 2.4k
Shigehisa Aoki Japan 27 793 1.3× 453 1.2× 324 1.1× 184 0.8× 236 1.1× 131 2.7k
Hyun Kyung Kim South Korea 22 616 1.0× 581 1.6× 198 0.7× 164 0.7× 115 0.5× 149 2.2k
Hong Hua China 26 508 0.8× 311 0.9× 184 0.6× 133 0.6× 186 0.8× 116 2.1k
Lei Song China 30 867 1.4× 290 0.8× 191 0.6× 564 2.4× 130 0.6× 101 2.4k
Carol A. de la Motte United States 31 1.2k 1.9× 447 1.2× 229 0.8× 310 1.3× 152 0.7× 44 3.0k
Andrzej Marszałek Poland 25 853 1.4× 275 0.8× 296 1.0× 330 1.4× 103 0.5× 234 2.5k
Wenjing Yu China 24 877 1.4× 268 0.7× 256 0.9× 307 1.3× 75 0.3× 73 2.2k
Urszula Mazurek Poland 22 634 1.0× 321 0.9× 122 0.4× 226 1.0× 116 0.5× 201 1.8k
Antonio Zizzi Italy 26 572 0.9× 204 0.6× 188 0.6× 176 0.8× 114 0.5× 83 1.8k

Countries citing papers authored by Eva Kriegová

Since Specialization
Citations

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

Fields of papers citing papers by Eva Kriegová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Kriegová

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Kriegová. A scholar is included among the top collaborators of Eva Kriegová 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 Eva Kriegová. Eva Kriegová 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.
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.
Kvasnicka, Hans Michael, et al.. (2025). The utility of automated artificial intelligence‐assisted digital cytomorphology for bone marrow analysis in diagnostic haemato‐oncology. Clinical and Translational Medicine. 15(7). e70364–e70364. 1 indexed citations
3.
Mikulková, Zuzana, et al.. (2024). Complexity of synovial fluid-derived monocyte-macrophage-lineage cells in knee osteoarthritis. Cell Reports. 43(12). 115011–115011. 2 indexed citations
4.
Bouchalová, Kateřina, Hana Flögelová, Pavel Hořák, et al.. (2024). Juvenile Primary Sjögren Syndrome in a 15-Year-Old Boy with Renal Involvement: A Case Report and Review of the Literature. Diagnostics. 14(3). 258–258. 1 indexed citations
5.
Divoký, Vladimír, et al.. (2023). Deep Molecular Response Achieved with Chemotherapy, Dasatinib and Interferon α in Patients with Lymphoid Blast Crisis of Chronic Myeloid Leukaemia. International Journal of Molecular Sciences. 24(3). 2050–2050.
6.
Kučerová, Jana, Dagmar Pospı́šilová, Eva Kriegová, et al.. (2023). Elevated erythroferrone distinguishes erythrocytosis with inherited defects in oxygen‐sensing pathway from primary familial and congenital polycythaemia. British Journal of Haematology. 202(3). 674–685. 3 indexed citations
7.
Kriegová, Eva, et al.. (2023). Real-world data in rheumatoid arthritis: patient similarity networks as a tool for clinical evaluation of disease activity. Applied Network Science. 8(1). 1 indexed citations
8.
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
9.
Doubková, Martina, Eva Kriegová, Simona Littnerová, et al.. (2021). DSP rs2076295 variants influence nintedanib and pirfenidone outcomes in idiopathic pulmonary fibrosis: a pilot study. Therapeutic Advances in Respiratory Disease. 15. 2663621857–2663621857. 11 indexed citations
10.
Kašný, Martin, Petr Hubáček, Vladimíra Koudeláková, et al.. (2021). Distribution of SARS-CoV-2 Lineages in the Czech Republic, Analysis of Data from the First Year of the Pandemic. Microorganisms. 9(8). 1671–1671. 6 indexed citations
11.
Gajdoš, Petr, et al.. (2021). Comparison of structural variants detected by optical mapping with long-read next-generation sequencing. Bioinformatics. 37(20). 3398–3404. 12 indexed citations
12.
Kriegová, Eva, Regina Fillerová, & Petr Kvapil. (2020). Direct-RT-qPCR Detection of SARS-CoV-2 without RNA Extraction as Part of a COVID-19 Testing Strategy: From Sample to Result in One Hour. Diagnostics. 10(8). 605–605. 31 indexed citations
13.
Raida, Luděk, František Mrázek, Eva Kriegová, et al.. (2020). NFKB1 gene single-nucleotide polymorphisms: implications for graft-versus-host disease in allogeneic hematopoietic stem cell transplantation. Annals of Hematology. 99(3). 609–618. 5 indexed citations
14.
Manukyan, Gayane, et al.. (2020). High CXCR3 on Leukemic Cells Distinguishes IgHV mut from IgHV unmut in Chronic Lymphocytic Leukemia: Evidence from CD5 high and CD5 low Clones. Journal of Immunology Research. 2020(1). 7084268–7084268. 6 indexed citations
15.
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
16.
Gallo, Jiří, et al.. (2018). Smoking, Preoperative Activity, and Waiting Time for the Surgery Could Predict the Risk of Early Reoperation in Total Knee Arthroplasty. Acta chirurgiae orthopaedicae et traumatologiae Cechoslovaca. 85(6). 410–417. 2 indexed citations
17.
Žůrková, Monika, et al.. (2017). A single-centre experience of antifibrotic treatment in idiopathic pulmonary fibrosis. Interní medicína pro praxi. 19(3). 162–166. 1 indexed citations
18.
19.
20.
Tománková, Tereza, Martin Petřek, Jiří Gallo, & Eva Kriegová. (2011). MicroRNAs: Emerging Regulators of Immune‐Mediated Diseases. Scandinavian Journal of Immunology. 75(2). 129–141. 68 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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