Daniel Čierný

512 total citations
37 papers, 363 citations indexed

About

Daniel Čierný is a scholar working on Pathology and Forensic Medicine, Immunology and Oncology. According to data from OpenAlex, Daniel Čierný has authored 37 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pathology and Forensic Medicine, 9 papers in Immunology and 7 papers in Oncology. Recurrent topics in Daniel Čierný's work include Multiple Sclerosis Research Studies (15 papers), T-cell and B-cell Immunology (3 papers) and Bone health and osteoporosis research (3 papers). Daniel Čierný is often cited by papers focused on Multiple Sclerosis Research Studies (15 papers), T-cell and B-cell Immunology (3 papers) and Bone health and osteoporosis research (3 papers). Daniel Čierný collaborates with scholars based in Slovakia, Austria and Croatia. Daniel Čierný's co-authors include Egon Kurča, Ján Lehotský, Ema Kantorová, Štefan Sivák, Dušan Dobrota, Eva Baranovičová, Zdenko Killinger, Juraj Javor, Juraj Payer and Kamil Zeleňák and has published in prestigious journals such as Annals of the Rheumatic Diseases, Journal of the Neurological Sciences and BMC Cancer.

In The Last Decade

Daniel Čierný

35 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Čierný Slovakia 12 157 83 55 53 42 37 363
Torbjörn Åkerfeldt Sweden 12 108 0.7× 93 1.1× 43 0.8× 49 0.9× 24 0.6× 38 432
Jessica L. Pierce United States 11 49 0.3× 207 2.5× 43 0.8× 55 1.0× 64 1.5× 17 494
Keiichi Tamagaki Japan 14 105 0.7× 184 2.2× 51 0.9× 31 0.6× 13 0.3× 56 655
Peeter Kööbi Finland 15 92 0.6× 109 1.3× 16 0.3× 40 0.8× 38 0.9× 28 498
Keith Olsen United States 6 355 2.3× 117 1.4× 28 0.5× 21 0.4× 86 2.0× 6 652
Marı́a José de la Vega-Prieto Spain 14 131 0.8× 100 1.2× 18 0.3× 61 1.2× 87 2.1× 26 439
Naeem Mahfooz United States 7 150 1.0× 72 0.9× 44 0.8× 27 0.5× 10 0.2× 11 302
Bartłomiej Kisiel Poland 12 58 0.4× 104 1.3× 99 1.8× 21 0.4× 25 0.6× 41 491
Annie Varennes France 12 114 0.7× 112 1.3× 9 0.2× 68 1.3× 146 3.5× 14 488
Gourab Datta United Kingdom 10 148 0.9× 99 1.2× 51 0.9× 24 0.5× 6 0.1× 12 443

Countries citing papers authored by Daniel Čierný

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Čierný

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Čierný

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Čierný. A scholar is included among the top collaborators of Daniel Čierný 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 Daniel Čierný. Daniel Čierný 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.
Czippelová, Barbora, Zuzana Turianiková, Jana Krohová, et al.. (2024). Involvement of Circulating MicroRNAs in the Pathogenesis of Atherosclerosis in Young Patients With Obesity. Physiological Research. 73(Suppl. 3). S755–S769. 2 indexed citations
2.
Grofik, Milan, Štefan Sivák, Daniel Čierný, et al.. (2023). Oxidative stress parameters and their relation to motor subtype of Parkinson’s disease and levodopa treatment status. General Physiology and Biophysics. 42(1). 77–85. 1 indexed citations
3.
Kantorová, Ema, Petra Hnilicová, Wolfgang Bogner, et al.. (2021). Positivity of oligoclonal bands in the cerebrospinal fluid predisposed to metabolic changes and rearrangement of inhibitory/excitatory neurotransmitters in subcortical brain structures in multiple sclerosis. Multiple Sclerosis and Related Disorders. 52. 102978–102978. 5 indexed citations
4.
Hnilicová, Petra, Ema Kantorová, Hubert Poláček, et al.. (2019). Altered hypothalamic metabolism in early multiple sclerosis – MR spectroscopy study. Journal of the Neurological Sciences. 407. 116458–116458. 11 indexed citations
5.
Čierný, Daniel, Mária Škereňová, Juraj Javor, et al.. (2019). The association of rs703842 variants in CYP27B1 with multiple sclerosis susceptibility is influenced by the HLA-DRB1*15:01 allele in Slovaks. Journal of Neuroimmunology. 330. 123–129. 3 indexed citations
7.
Čierný, Daniel, et al.. (2018). Weber-Christian disease: a case report. Vnitřní lékařství. 64(10). 961–965. 2 indexed citations
8.
Grofik, Milan, Štefan Sivák, Vladimír Nosáľ, et al.. (2018). The influence of levodopa, entacapone and homocysteine on prevalence of polyneuropathy in patients with Parkinson's disease. Journal of the Neurological Sciences. 392. 28–31. 8 indexed citations
9.
Čierný, Daniel, Ema Kantorová, Mária Škereňová, et al.. (2018). The increased serum level of sRAGE is associated with multiple sclerosis but not with disability progression. 35(2). 70–76. 1 indexed citations
10.
Čierný, Daniel, Ján Lehotský, Ema Kantorová, et al.. (2017). The age at onset in Multiple Sclerosis is associated with patient’s prognosis. Bratislavské lekárske listy/Bratislava medical journal. 118(6). 374–377. 25 indexed citations
11.
Javor, Juraj, Mária Bucová, Karin Gmitterová, et al.. (2017). Analysis of ICAM1 gene polymorphism in Slovak multiple sclerosis patients. Folia Microbiologica. 62(4). 287–293. 4 indexed citations
12.
Škereňová, Mária, et al.. (2017). Low Variability and Stable Frequency of Common Haplotypes of the TP53 Gene Region in Colorectal Cancer Patients in a Slovak Population. Anticancer Research. 37(4). 1901–1907. 7 indexed citations
13.
Kantorová, Ema, Michal Bittšanský, Štefan Sivák, et al.. (2017). Anaplastic astrocytoma mimicking progressive multifocal leucoencephalopathy: a case report and review of the overlapping syndromes. BMC Cancer. 17(1). 424–424. 3 indexed citations
14.
Čierný, Daniel, Mária Škereňová, Ema Kantorová, et al.. (2016). ApaI, BsmI and TaqIVDRgene polymorphisms in association with multiple sclerosis in Slovaks. Neurological Research. 38(8). 678–684. 28 indexed citations
15.
Mikolka, Pavol, Jana Kopincová, Petra Košútová, et al.. (2016). Lung Inflammatory and Oxidative Alterations After Exogenous Surfactant Therapy Fortified With Budesonide in Rabbit Model of Meconium Aspiration Syndrome. Physiological Research. 65(Suppl 5). S653–S662. 14 indexed citations
17.
Čierný, Daniel, et al.. (2014). Vybrané biologické a biochemické markery sclerosis multiplex. Neurologie pro praxi. 15(2). 68–70.
18.
Hlavatý, Tibor, Zdenko Killinger, Daniel Čierný, et al.. (2014). Combination therapy with an immunomodulator and anti-TNFα agent improves bone mineral density in IBD patients. Journal of Crohn s and Colitis. 8(12). 1693–1701. 21 indexed citations
19.
Kužma, Martin, et al.. (2014). AB0871 Ultrasound Evaluation of Carpal Tunnel Syndrom in Primary Hypothyroidism. Annals of the Rheumatic Diseases. 73. 1090–1090. 1 indexed citations
20.
Payer, Juraj, et al.. (2010). The level of TSH appeared favourable in maintaining bone mineral density in postmenopausal women. Endocrine Regulations. 44(1). 9–15. 19 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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