Marek Dudáš

1.6k total citations
28 papers, 1.1k citations indexed

About

Marek Dudáš is a scholar working on Molecular Biology, Artificial Intelligence and Surgery. According to data from OpenAlex, Marek Dudáš has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Artificial Intelligence and 6 papers in Surgery. Recurrent topics in Marek Dudáš's work include Semantic Web and Ontologies (7 papers), Reproductive Biology and Fertility (4 papers) and dental development and anomalies (4 papers). Marek Dudáš is often cited by papers focused on Semantic Web and Ontologies (7 papers), Reproductive Biology and Fertility (4 papers) and dental development and anomalies (4 papers). Marek Dudáš collaborates with scholars based in United States, Slovakia and Czechia. Marek Dudáš's co-authors include Vesa Kaartinen, Andre Nagy, Somyoth Sridurongrit, Jonathan A. Epstein, Kenji Okazaki, Ji‐Eun Kim, Jikui Wang, Min Lü, Nicholas J. Laping and Yang Chai and has published in prestigious journals such as Development, Developmental Biology and Journal of the American College of Surgeons.

In The Last Decade

Marek Dudáš

27 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marek Dudáš United States 15 761 432 150 137 113 28 1.1k
Ru‐Fang Yeh United States 20 1.9k 2.5× 310 0.7× 171 1.1× 142 1.0× 55 0.5× 26 2.7k
Shashikant Kulkarni United States 22 1.1k 1.5× 760 1.8× 142 0.9× 462 3.4× 117 1.0× 51 3.0k
Peter Papenhausen United States 20 872 1.1× 706 1.6× 103 0.7× 86 0.6× 152 1.3× 63 1.8k
Claude Houdayer France 24 920 1.2× 456 1.1× 211 1.4× 365 2.7× 24 0.2× 66 1.9k
Suvi Savola Netherlands 23 720 0.9× 219 0.5× 52 0.3× 407 3.0× 111 1.0× 44 1.4k
M. Biagioli Italy 19 406 0.5× 120 0.3× 159 1.1× 130 0.9× 29 0.3× 54 1.6k
Rajesh C. Rao United States 19 788 1.0× 98 0.2× 88 0.6× 73 0.5× 61 0.5× 92 1.6k
Heinz-Ulrich G. Weier United States 11 426 0.6× 227 0.5× 98 0.7× 83 0.6× 111 1.0× 16 1.0k
Asha Nair United States 26 865 1.1× 263 0.6× 275 1.8× 324 2.4× 14 0.1× 60 1.8k
Yi Men China 16 594 0.8× 95 0.2× 122 0.8× 43 0.3× 28 0.2× 33 1.2k

Countries citing papers authored by Marek Dudáš

Since Specialization
Citations

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

Fields of papers citing papers by Marek Dudáš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Dudáš

This figure shows the co-authorship network connecting the top 25 collaborators of Marek Dudáš. A scholar is included among the top collaborators of Marek Dudáš 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 Marek Dudáš. Marek Dudáš 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.
Dudáš, Marek, et al.. (2018). Ontology visualization methods and tools: a survey of the state of the art. The Knowledge Engineering Review. 33. 52 indexed citations
2.
Dudáš, Marek, et al.. (2016). Adapting ontologies to best-practice artifacts using transformation patterns: Method, implementation and use cases. Journal of Web Semantics. 40. 52–64. 1 indexed citations
3.
Svátek, Vojtěch, et al.. (2015). Procurement notice enrichment using product ontologies. 200–203. 2 indexed citations
4.
Dudáš, Marek, et al.. (2014). Tripolar mitosis in human cells and embryos: Occurrence, pathophysiology and medical implications. Acta Histochemica. 117(1). 111–125. 49 indexed citations
5.
Dudáš, Marek, et al.. (2012). Time-Lapse Cleavage Rating Predicts Human Embryo Viability. Physiological Research. 61(5). 513–525. 87 indexed citations
6.
Jirásek, J, et al.. (2012). Encephalocystocele – Uncommon Diagnosis in Prenatal Medicine. Fetal Diagnosis and Therapy. 32(4). 295–298. 4 indexed citations
7.
Jirásek, J, et al.. (2009). Prenatal Three-Dimensional Sonographic Findings Associated with Annular Pancreas. Fetal Diagnosis and Therapy. 27(1). 57–60. 7 indexed citations
8.
Urdzík, Peter, et al.. (2009). Conservative Management in Three Cases of Prenatally Recognized Splenic Cyst Using 2D, 3D, Multi-Slice and Doppler Ultrasonography. Fetal Diagnosis and Therapy. 26(3). 177–180. 6 indexed citations
9.
Dudáš, Marek, et al.. (2008). Memory Encoded Throughout Our Bodies: Molecular and Cellular Basis of Tissue Regeneration. Pediatric Research. 63(5). 502–512. 15 indexed citations
10.
Dudáš, Marek, et al.. (2008). Signaling through Tgf-β type I receptor Alk5 is required for upper lip fusion. Mechanisms of Development. 125(9-10). 874–882. 14 indexed citations
11.
Jirásek, J, et al.. (2008). Prenatal Diagnosis of Annular Pancreas: Reliability of the Double Bubble Sign with Periduodenal Hyperechogenic Band. Fetal Diagnosis and Therapy. 24(4). 483–490. 21 indexed citations
12.
Wang, Jikui, Andre Nagy, Jonas Larsson, et al.. (2006). Defective ALK5 signaling in the neural crest leads to increased postmigratory neural crest cell apoptosis and severe outflow tract defects. BMC Developmental Biology. 6(1). 51–51. 67 indexed citations
13.
Dudáš, Marek, et al.. (2006). Palatal fusion – Where do the midline cells go?. Acta Histochemica. 109(1). 1–14. 77 indexed citations
14.
Li, Wai-yee, Eunice Y. Huang, Marek Dudáš, et al.. (2006). Transforming growth factor‐β3 affects plasminogen activator inhibitor‐1 expression in fetal mice and modulates fibroblast‐mediated collagen gel contraction. Wound Repair and Regeneration. 14(5). 516–525. 27 indexed citations
15.
Dudáš, Marek, Ji‐Eun Kim, Andre Nagy, et al.. (2006). Epithelial and ectomesenchymal role of the type I TGF-β receptor ALK5 during facial morphogenesis and palatal fusion. Developmental Biology. 296(2). 298–314. 126 indexed citations
16.
Wang, Jikui, Somyoth Sridurongrit, Marek Dudáš, et al.. (2005). Atrioventricular cushion transformation is mediated by ALK2 in the developing mouse heart. Developmental Biology. 286(1). 299–310. 129 indexed citations
17.
Dudáš, Marek & Vesa Kaartinen. (2005). TGF-β Superfamily and Mouse Craniofacial Development: Interplay of Morphogenetic Proteins and Receptor Signaling Controls Normal Formation of the Face. Current topics in developmental biology. 66. 65–133. 36 indexed citations
18.
Dudáš, Marek, Somyoth Sridurongrit, Andre Nagy, Kenji Okazaki, & Vesa Kaartinen. (2004). Craniofacial defects in mice lacking BMP type I receptor Alk2 in neural crest cells. Mechanisms of Development. 121(2). 173–182. 180 indexed citations
19.
Dudáš, Marek, Andre Nagy, Nicholas J. Laping, Aristidis Moustakas, & Vesa Kaartinen. (2003). Tgf-β3-induced palatal fusion is mediated by Alk-5/Smad pathway. Developmental Biology. 266(1). 96–108. 79 indexed citations
20.
Dudáš, Marek, et al.. (2001). Experimental attempts to extend the current preimplantation genetic diagnosis with individual karyotypization of human blastomeres. annales de biologie animale biochimie biophysique. 41(1). 91–106. 5 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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