František Štaud

4.3k total citations
121 papers, 3.4k citations indexed

About

František Štaud is a scholar working on Pediatrics, Perinatology and Child Health, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, František Štaud has authored 121 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Pediatrics, Perinatology and Child Health, 64 papers in Oncology and 44 papers in Public Health, Environmental and Occupational Health. Recurrent topics in František Štaud's work include Drug Transport and Resistance Mechanisms (63 papers), Pharmacological Effects and Toxicity Studies (35 papers) and Pregnancy and Medication Impact (34 papers). František Štaud is often cited by papers focused on Drug Transport and Resistance Mechanisms (63 papers), Pharmacological Effects and Toxicity Studies (35 papers) and Pregnancy and Medication Impact (34 papers). František Štaud collaborates with scholars based in Czechia, Germany and Switzerland. František Štaud's co-authors include Martina Čečková, Petr Pávek, Lukáš Červený, Rona Karahoda, Z. Fendrich, Antonín Libra, Jakub Hofman, Stanislav Mičuda, Petr Nachtigal and Davoud Ahmadimoghaddam and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

František Štaud

115 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
František Štaud Czechia 34 1.4k 1.2k 847 743 594 121 3.4k
María A. Serrano Spain 33 1.6k 1.1× 744 0.6× 612 0.7× 825 1.1× 347 0.6× 103 3.1k
Micheline Piquette‐Miller Canada 46 2.7k 1.8× 1.1k 0.9× 607 0.7× 1.0k 1.4× 366 0.6× 128 5.3k
Martina Čečková Czechia 26 833 0.6× 557 0.5× 504 0.6× 396 0.5× 274 0.5× 49 1.7k
Chang‐Chi Hsieh Taiwan 34 721 0.5× 529 0.5× 391 0.5× 857 1.2× 165 0.3× 78 3.6k
Virginia D. Winn United States 28 154 0.1× 961 0.8× 702 0.8× 687 0.9× 1.1k 1.8× 77 3.8k
Malliga E. Ganapathy United States 30 1.3k 0.9× 617 0.5× 136 0.2× 1.5k 2.0× 147 0.2× 42 3.4k
Jeffrey A. Silverman United States 35 2.0k 1.4× 856 0.7× 235 0.3× 1.1k 1.5× 45 0.1× 93 3.8k
Gregory T. Knipp United States 30 722 0.5× 595 0.5× 95 0.1× 763 1.0× 195 0.3× 62 2.6k
Antonius E. van Herwaarden Netherlands 28 1.3k 0.9× 713 0.6× 308 0.4× 883 1.2× 116 0.2× 101 3.2k
Ping Yi China 33 466 0.3× 556 0.5× 245 0.3× 2.7k 3.7× 285 0.5× 172 4.8k

Countries citing papers authored by František Štaud

Since Specialization
Citations

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

Fields of papers citing papers by František Štaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of František Štaud

This figure shows the co-authorship network connecting the top 25 collaborators of František Štaud. A scholar is included among the top collaborators of František Štaud 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 František Štaud. František Štaud 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.
Karahoda, Rona, Therina du Toit, Bárbara Fuenzalida, et al.. (2025). Landscape of Steroid Dynamics in Pregnancy: Insights From the Maternal-Placental-Fetal Unit and Placental Models. Molecular & Cellular Proteomics. 24(6). 100976–100976. 1 indexed citations
2.
Karahoda, Rona, et al.. (2024). Developmental expression of catecholamine system in the human placenta and rat fetoplacental unit. Scientific Reports. 14(1). 6948–6948. 2 indexed citations
3.
Abad, Cilia, et al.. (2024). Metformin inhibits OCT3-mediated serotonin transport in the placenta. Biomedicine & Pharmacotherapy. 179. 117399–117399. 1 indexed citations
4.
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Abad, Cilia, et al.. (2023). Pathological shifts in tryptophan metabolism in human term placenta exposed to LPS or poly I:C. Biology of Reproduction. 110(4). 722–738. 4 indexed citations
6.
Štaud, František, et al.. (2023). Characterization of a human placental clearance system to regulate serotonin levels in the fetoplacental unit. Reproductive Biology and Endocrinology. 21(1). 74–74. 5 indexed citations
7.
8.
Karahoda, Rona, Sampada Kallol, Michael Groessl, et al.. (2021). Revisiting Steroidogenic Pathways in the Human Placenta and Primary Human Trophoblast Cells. International Journal of Molecular Sciences. 22(4). 1704–1704. 36 indexed citations
9.
Karahoda, Rona, et al.. (2021). Effect of Selected Antidepressants on Placental Homeostasis of Serotonin: Maternal and Fetal Perspectives. Pharmaceutics. 13(8). 1306–1306. 22 indexed citations
10.
Abad, Cilia, Rona Karahoda, Ramón Portillo, et al.. (2020). Profiling of Tryptophan Metabolic Pathways in the Rat Fetoplacental Unit during Gestation. International Journal of Molecular Sciences. 21(20). 7578–7578. 20 indexed citations
11.
Morell, A, Eva Novotná, František Štaud, et al.. (2020). Targeting Pharmacokinetic Drug Resistance in Acute Myeloid Leukemia Cells with CDK4/6 Inhibitors. Cancers. 12(6). 1596–1596. 18 indexed citations
12.
Hofman, Jakub, Eva Novotná, Sarah Kammerer, et al.. (2019). Interactions of Alectinib with Human ATP-Binding Cassette Drug Efflux Transporters and Cytochrome P450 Biotransformation Enzymes: Effect on Pharmacokinetic Multidrug Resistance. Drug Metabolism and Disposition. 47(7). 699–709. 18 indexed citations
13.
Červený, Lukáš, et al.. (2019). Transport of ribavirin across the rat and human placental barrier: Roles of nucleoside and ATP-binding cassette drug efflux transporters. Biochemical Pharmacology. 163. 60–70. 13 indexed citations
14.
Ryška, Aleš, Jurjen Duintjer Tebbens, Helena Hornychová, et al.. (2019). Are ENT1/ENT1, NOTCH3, and miR-21 Reliable Prognostic Biomarkers in Patients with Resected Pancreatic Adenocarcinoma Treated with Adjuvant Gemcitabine Monotherapy?. Cancers. 11(11). 1621–1621. 6 indexed citations
15.
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Červený, Lukáš, Martina Čečková, Rona Karahoda, et al.. (2018). Equilibrative Nucleoside Transporter 1 (ENT1, SLC29A1) Facilitates Transfer of the Antiretroviral Drug Abacavir across the Placenta. Drug Metabolism and Disposition. 46(11). 1817–1826. 25 indexed citations
17.
Červený, Lukáš, et al.. (2018). Expression of Concentrative Nucleoside Transporters (SLC28A) in the Human Placenta: Effects of Gestation Age and Prototype Differentiation-Affecting Agents. Molecular Pharmaceutics. 15(7). 2732–2741. 14 indexed citations
18.
Štaud, František & Rona Karahoda. (2018). Trophoblast: The central unit of fetal growth, protection and programming. The International Journal of Biochemistry & Cell Biology. 105. 35–40. 82 indexed citations
19.
20.
Čečková, Martina, et al.. (2017). MDR1 and BCRP Transporter-Mediated Drug-Drug Interaction between Rilpivirine and Abacavir and Effect on Intestinal Absorption. Antimicrobial Agents and Chemotherapy. 61(9). 24 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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