Vojtech Parrák

19 papers receiving 295 citations

Peers

Vojtech Parrák
Comparison fields: 5 of 75
  • Biological Psychiatry 24
  • Physiology 108
  • Neurology 35
  • Clinical Biochemistry 24
  • Pharmacology 47
Replace Diéssica Padilha Dalenogare with:
Diéssica Padilha Dalenogare Brazil
Hailiang Huang China
Nikhilesh Anand United States
Menglu Xu China
Piotr Żukowski Poland
Ming‐Jia Jou Taiwan
Danica Michaličková Czechia
Babul Kumar Bezbaruah India
Vojtech Parrák relative to Diéssica Padilha Dalenogare Brazil Diéssica Padilha Dalenogare's profile →
Citations per field
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Diéssica Padilha Dalenogare · 1×
Citations per year

Countries citing papers authored by Vojtech Parrák

Since Specialization
Citations

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

Fields of papers citing papers by Vojtech Parrák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vojtech Parrák, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vojtech Parrák Line = papers co-authored together Vojtech Parrák links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2018101
2 200655
3 201528
4 201922
5 199716
6 202016
7
Procalcitonin, neopterin and C-reactive protein in diagnostics of intrauterine infection and preterm delivery.
200914
8 202410
9 20039
10 20117
11 20237
12 20226
13 20063
14 19743
15 20162
16
Carnitine level and several lipid parameters in venous blood of newborns, cord blood and maternal blood and milk.
19942
17 19821
18
The correlation of procalcitonin serum levels with the presence of biliary obstruction.
20051
19 20241

About Vojtech Parrák

Vojtech Parrák is a scholar working on Pharmacology, Molecular Biology, Clinical Biochemistry, Epidemiology and Molecular Medicine, having authored 19 papers that have together received 304 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (4 papers), Alzheimer's disease research and treatments (2 papers), Metabolism and Genetic Disorders (2 papers), Gut microbiota and health (2 papers), Advanced Glycation End Products research (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Biological Psychiatry (24 citations), Physiology (108 citations), Neurology (35 citations), Clinical Biochemistry (24 citations) and Pharmacology (47 citations). Vojtech Parrák has collaborated with scholars based in Slovakia, Sweden and United States. Frequent co-authors include Andrej Kováč, Michal Novák, Jaroslav Galba, Branislav Kováčech, Katarı́na Šebeková, A. Heidland, P Blažı́ček, Katarí­na Babinská, Martina Valachovičová and Peter Boor. Their work appears in journals such as Alzheimer s Research & Therapy, Medicine & Science in Sports & Exercise, Clinical Chemistry, Therapeutic Drug Monitoring and Archiv der Pharmazie.

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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