Aleš Tichopád

21.6k total citations · 2 hit papers
57 papers, 6.1k citations indexed

About

Aleš Tichopád is a scholar working on Molecular Biology, Economics and Econometrics and Genetics. According to data from OpenAlex, Aleš Tichopád has authored 57 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Economics and Econometrics and 6 papers in Genetics. Recurrent topics in Aleš Tichopád's work include Molecular Biology Techniques and Applications (15 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers) and Pharmaceutical Economics and Policy (5 papers). Aleš Tichopád is often cited by papers focused on Molecular Biology Techniques and Applications (15 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers) and Pharmaceutical Economics and Policy (5 papers). Aleš Tichopád collaborates with scholars based in Czechia, Germany and United States. Aleš Tichopád's co-authors include Michael W. Pfaffl, Christian Prgomet, Tanja Pascale Neuvians, Mikael Kubista, Vendula Novosadová, Dávid Švec, Andrea Didier, Irmgard Riedmaier, Robert R. Kitchen and Yulia Golub and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Aleš Tichopád

51 papers receiving 6.0k citations

Hit Papers

Determination of stable housekeeping genes, differentiall... 2004 2026 2011 2018 2004 2015 1000 2.0k 3.0k 4.0k
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. Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper – Excel-based tool using pair-wise correlations
    2004 4.2k citations Michael W. Pfaffl, Aleš Tichopád et al. profile →
  2. 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 Career Trend Papers Cites
Aleš Tichopád Czechia 19 3.9k 688 655 620 573 57 6.1k
Christian Prgomet Germany 7 3.2k 0.8× 564 0.8× 525 0.8× 535 0.9× 457 0.8× 7 4.7k
Nives Škunca Switzerland 12 3.1k 0.8× 772 1.1× 1.2k 1.8× 399 0.6× 504 0.9× 15 5.3k
Geet Duggal United States 8 4.1k 1.0× 696 1.0× 1.2k 1.8× 756 1.2× 650 1.1× 9 6.9k
Frank Speleman Belgium 18 2.6k 0.7× 626 0.9× 812 1.2× 691 1.1× 289 0.5× 23 4.8k
Philip Ewels Sweden 12 3.3k 0.8× 860 1.3× 855 1.3× 563 0.9× 704 1.2× 20 5.9k
Chuan‐Yun Li China 22 3.1k 0.8× 643 0.9× 1.3k 2.0× 732 1.2× 314 0.5× 49 5.4k
Max Käller Sweden 12 2.6k 0.7× 746 1.1× 693 1.1× 470 0.8× 679 1.2× 31 5.0k
Xiaosong Huang United States 15 4.3k 1.1× 881 1.3× 765 1.2× 677 1.1× 292 0.5× 34 6.7k
Tanja Pascale Neuvians Germany 9 3.0k 0.8× 573 0.8× 500 0.8× 499 0.8× 437 0.8× 9 4.5k

Countries citing papers authored by Aleš Tichopád

Since Specialization
Citations

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

Fields of papers citing papers by Aleš Tichopád

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleš Tichopád

This figure shows the co-authorship network connecting the top 25 collaborators of Aleš Tichopád. A scholar is included among the top collaborators of Aleš Tichopád 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 Aleš Tichopád. Aleš Tichopád 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
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Klempíř, Ondřej, et al.. (2025). Ranking pre-trained speech embeddings in Parkinson's disease detection: Does Wav2Vec 2.0 outperform its 1.0 version across speech modes and languages?. Computational and Structural Biotechnology Journal. 27. 2584–2601. 1 indexed citations
3.
Tichopád, Aleš, Jana Junkerová, Michala Jakubíková, et al.. (2024). Burden of Myasthenia Gravis in the Czech Republic: Analysis of the Nationwide Patient Registry. Neurology and Therapy. 14(1). 227–242.
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Hawlina, Marko, et al.. (2024). Leber hereditary optic neuropathy in Slovenia: quality of life and costs from patient perspective. Orphanet Journal of Rare Diseases. 19(1). 318–318. 1 indexed citations
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Tichopád, Aleš, et al.. (2023). Increasing prevalence of mental disorders in smokers seeking treatment of tobacco dependence: a retrospective observational study. BMC Psychiatry. 23(1). 621–621. 1 indexed citations
8.
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 →
9.
Mullins, C. Daniel, Nneka C. Onwudiwe, Gabriela Tannus Branco de Araújo, et al.. (2014). Guidance Document: Global Pharmacoeconomic Model Adaption Strategies. Value in Health Regional Issues. 5. 7–13. 18 indexed citations
10.
Pecen, Ladislav, et al.. (2014). Modeled Outcomes and Overall Costs of the 13-Valent Pneumococcal Conjugate Vaccine in the Tunisian National Vaccination Program. Value in Health. 17(7). A607–A608. 2 indexed citations
11.
Koblížek, Vladimír, et al.. (2014). Real-Life GOLD 2011 Implementation: The Management of COPD Lacks Correct Classification and Adequate Treatment. PLoS ONE. 9(11). e111078–e111078. 14 indexed citations
12.
Malentacchi, Francesca, Mario Pazzagli, Lisa Simi, et al.. (2013). SPIDIA-DNA: An External Quality Assessment for the pre-analytical phase of blood samples used for DNA-based analyses. Clinica Chimica Acta. 424. 274–286. 26 indexed citations
13.
Becker, Christiane, Irmgard Riedmaier, Martina Reiter, et al.. (2011). Influence of anabolic combinations of an androgen plus an estrogen on biochemical pathways in bovine uterine endometrium and ovary. The Journal of Steroid Biochemistry and Molecular Biology. 125(3-5). 192–201. 21 indexed citations
14.
Becker, Christiane, Irmgard Riedmaier, Martina Reiter, et al.. (2010). Effect of trenbolone acetate plus estradiol on transcriptional regulation of metabolism pathways in bovine liver. Hormone Molecular Biology and Clinical Investigation. 2(2). 257–265. 11 indexed citations
15.
Riedmaier, Irmgard, Martina Reiter, Aleš Tichopád, Michael W. Pfaffl, & Helmut E. Meyer. (2010). The Potential of Bovine Vaginal Smear for Biomarker Development to Trace the Misuse of Anabolic Agents. Experimental and Clinical Endocrinology & Diabetes. 119(2). 86–94. 13 indexed citations
16.
Kitchen, Robert R., Mikael Kubista, & Aleš Tichopád. (2010). Statistical aspects of quantitative real-time PCR experiment design. Methods. 50(4). 231–236. 52 indexed citations
17.
Reiter, Martina, Aleš Tichopád, Irmgard Riedmaier, Michael W. Pfaffl, & Heinrich H.D. Meyer. (2009). Monitoring gene expression in muscle tissue of macaca fascicularis under the influence of testosterone and SARM. Hormone Molecular Biology and Clinical Investigation. 1(2). 73–79. 2 indexed citations
18.
Sugden, Karen, Aleš Tichopád, Nadeem Khan, Ian Craig, & Ursula M. D’Souza. (2009). Genes within the serotonergic system are differentially expressed in human brain. BMC Neuroscience. 10(1). 50–50. 36 indexed citations
19.
Riedmaier, Irmgard, Aleš Tichopád, Martina Reiter, Michael W. Pfaffl, & Heinrich H.D. Meyer. (2009). Influence of testosterone and a novel SARM on gene expression in whole blood of Macaca fascicularis. The Journal of Steroid Biochemistry and Molecular Biology. 114(3-5). 167–173. 11 indexed citations
20.
Tichopád, Aleš, Michael W. Pfaffl, & Andrea Didier. (2003). Tissue-specific expression pattern of bovine prion gene: quantification using real-time RT-PCR. Molecular and Cellular Probes. 17(1). 5–10. 54 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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