Dávid Švec

1.9k total citations · 1 hit paper
25 papers, 797 citations indexed

About

Dávid Švec is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Dávid Švec has authored 25 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in Surgery. Recurrent topics in Dávid Švec's work include Molecular Biology Techniques and Applications (9 papers), RNA Research and Splicing (8 papers) and Cardiovascular Health and Disease Prevention (4 papers). Dávid Švec is often cited by papers focused on Molecular Biology Techniques and Applications (9 papers), RNA Research and Splicing (8 papers) and Cardiovascular Health and Disease Prevention (4 papers). Dávid Švec collaborates with scholars based in Czechia, Slovakia and Sweden. Dávid Švec's co-authors include Mikael Kubista, Vendula Novosadová, Aleš Tichopád, Michael W. Pfaffl, Anders Ståhlberg, Daniel Andersson, Robert Sjöback, Jean‐François Arnal, Jean-José Maoret and Henrik Laurell and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Dávid Švec

24 papers receiving 784 citations

Hit Papers

align trajectories

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.

How good is a PCR efficiency estimate: Recommendations for precise and robust qPCR efficiency assessments

2015 414 citations Dávid Švec, Aleš Tichopád et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dávid Švec Czechia	12	415	89	89	80	79	25	797
Meysam Abbasi Canada	8	471 1.1×	64 0.7×	69 0.8×	45 0.6×	74 0.9×	11	836
Linda Strömbom Spain	6	703 1.7×	80 0.9×	129 1.4×	91 1.1×	84 1.1×	7	1.2k
Anika Witten Germany	18	533 1.3×	89 1.0×	64 0.7×	144 1.8×	187 2.4×	46	1.2k
Vendula Novosadová Czechia	11	387 0.9×	230 2.6×	96 1.1×	44 0.6×	69 0.9×	27	825
Neven Zoric Sweden	7	750 1.8×	73 0.8×	222 2.5×	85 1.1×	88 1.1×	8	1.3k
Michael Liew United States	13	554 1.3×	60 0.7×	62 0.7×	49 0.6×	51 0.6×	21	1.1k
Yuanzhi Chen China	15	251 0.6×	46 0.5×	59 0.7×	102 1.3×	67 0.8×	36	627
Mee Sun Ock South Korea	16	264 0.6×	74 0.8×	28 0.3×	113 1.4×	118 1.5×	55	813
Xiaoye Wang China	14	453 1.1×	34 0.4×	37 0.4×	56 0.7×	70 0.9×	30	890
Valentina Rausch Germany	7	415 1.0×	28 0.3×	253 2.8×	61 0.8×	83 1.1×	8	860

Countries citing papers authored by Dávid Švec

Since Specialization

Citations

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

Fields of papers citing papers by Dávid Švec

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dávid Švec

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Javorka, Michal, Dávid Švec, Vasiliki Bikia, et al.. (2024). In Silico Validation of Non-Invasive Arterial Compliance Estimation and Potential Determinants of its Variability. Physiological Research. 73(Suppl. 3). S771–S780. 1 indexed citations

Sparacino, Laura, et al.. (2024). A method to assess linear self-predictability of physiologic processes in the frequency domain: application to beat-to-beat variability of arterial compliance. SHILAP Revista de lepidopterología. 4. 1346424–1346424. 2 indexed citations

Viertler, Christian, Marcel Kap, Gerwin A. Bernhardt, et al.. (2023). Inter-patient heterogeneity in the hepatic ischemia-reperfusion injury transcriptome: Implications for research and diagnostics. New Biotechnology. 79. 20–29. 2 indexed citations

Sparacino, Laura, et al.. (2022). Spectral analysis of the beat-to-beat variability of arterial compliance. Nova Science Publishers (Nova Science Publishers, Inc.). 1–2. 1 indexed citations

Czippelová, Barbora, et al.. (2021). Beta-adrenergic receptors gene polymorphisms are associated with cardiac contractility and blood pressure variability.. PubMed. 70(S3). S327–S337. 2 indexed citations

Švec, Dávid & Michal Javorka. (2021). Noninvasive arterial compliance estimation. Physiological Research. 70(S4). S483–S494. 7 indexed citations

Azouz, Abdulkader, Hussein Shehade, Laurye Van Maele, et al.. (2019). Monocytes undergo multi-step differentiation in mice during oral infection by Toxoplasma gondii. Communications Biology. 2(1). 472–472. 10 indexed citations

Čapoun, Otakar, Dávid Švec, Katarína Kološtová, et al.. (2018). Gene Expression Analysis of Immunomagnetically Enriched Circulating Tumor Cell Fraction in Castration-Resistant Prostate Cancer. Molecular Diagnosis & Therapy. 22(3). 381–390. 4 indexed citations

Švec, Dávid, Soheila Dolatabadi, Christer Thomsen, et al.. (2018). Identification of inhibitors regulating cell proliferation and FUS-DDIT3 expression in myxoid liposarcoma using combined DNA, mRNA, and protein analyses. Laboratory Investigation. 98(7). 957–967. 7 indexed citations

10.

Andersson, Daniel, et al.. (2018). Preamplification with dUTP and Cod UNG Enables Elimination of Contaminating Amplicons. International Journal of Molecular Sciences. 19(10). 3185–3185. 7 indexed citations

11.

Åman, Pierre, Soheila Dolatabadi, Dávid Švec, et al.. (2016). Regulatory mechanisms, expression levels and proliferation effects of the FUS–DDIT3 fusion oncogene in liposarcoma. The Journal of Pathology. 238(5). 689–699. 12 indexed citations

12.

Andersson, Daniel, Nina Akrap, Dávid Švec, et al.. (2015). Properties of targeted preamplification in DNA and cDNA quantification. Expert Review of Molecular Diagnostics. 15(8). 1085–1100. 36 indexed citations

13.

Švec, Dávid, Aleš Tichopád, Vendula Novosadová, Michael W. Pfaffl, & Mikael Kubista. (2015). How good is a PCR efficiency estimate: Recommendations for precise and robust qPCR efficiency assessments. SHILAP Revista de lepidopterología. 3. 9–16. 414 indexed citations breakdown →

14.

Korenková, Vlasta, et al.. (2015). Pre-amplification in the context of high-throughput qPCR gene expression experiment. BMC Molecular Biology. 16(1). 5–5. 33 indexed citations

15.

Björkman, Jens, et al.. (2015). Differential amplicons (ΔAmp)—a new molecular method to assess RNA integrity. SHILAP Revista de lepidopterología. 6. 4–12. 15 indexed citations

16.

Zhang, Hui, Vlasta Korenková, Robert Sjöback, et al.. (2014). Biomarkers for Monitoring Pre-Analytical Quality Variation of mRNA in Blood Samples. PLoS ONE. 9(11). e111644–e111644. 17 indexed citations

17.

Švec, Dávid, Daniel Andersson, Milos Pekny, et al.. (2013). Direct Cell Lysis for Single-Cell Gene Expression Profiling. Frontiers in Oncology. 3. 274–274. 49 indexed citations

18.

Laurell, Henrik, Jason S. Iacovoni, Dávid Švec, et al.. (2012). Correction of RT–qPCR data for genomic DNA-derived signals with ValidPrime. Nucleic Acids Research. 40(7). e51–e51. 74 indexed citations

19.

Šindelka, Radek, et al.. (2010). Spatial expression profiles in the Xenopus laevis oocytes measured with qPCR tomography. Methods. 51(1). 87–91. 24 indexed citations

20.

Porter, Johnny R., et al.. (2000). The effect of dehydroepiandrosterone on Zucker rats selected for fat food preference. Physiology & Behavior. 70(5). 431–441. 23 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.

Explore authors with similar magnitude of impact