Pavel Babál

3.4k total citations
151 papers, 2.5k citations indexed

About

Pavel Babál is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Pavel Babál has authored 151 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 28 papers in Surgery and 25 papers in Immunology. Recurrent topics in Pavel Babál's work include Nitric Oxide and Endothelin Effects (14 papers), Glycosylation and Glycoproteins Research (12 papers) and Ocular Oncology and Treatments (10 papers). Pavel Babál is often cited by papers focused on Nitric Oxide and Endothelin Effects (14 papers), Glycosylation and Glycoproteins Research (12 papers) and Ocular Oncology and Treatments (10 papers). Pavel Babál collaborates with scholars based in Slovakia, United States and Bulgaria. Pavel Babál's co-authors include Oľga Pecháňová, Pavol Janega, Iveta Bernátová, Ramaroson Andriantsitohaina, Svetoslav Štvrtina, Michal Mego, Zuzana Čierna, Daniela Světlovská, Jozef Mardiak and Michal Chovanec and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Current Biology.

In The Last Decade

Pavel Babál

144 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pavel Babál Slovakia 26 797 473 369 350 313 151 2.5k
Hans‐Michael Steffen Germany 29 869 1.1× 430 0.9× 437 1.2× 391 1.1× 351 1.1× 139 3.2k
Hong Chai United States 36 1.2k 1.5× 415 0.9× 405 1.1× 252 0.7× 195 0.6× 63 3.3k
Yuki Kimura Japan 25 1.1k 1.4× 455 1.0× 361 1.0× 455 1.3× 230 0.7× 163 3.3k
Liang Dong China 30 972 1.2× 327 0.7× 204 0.6× 391 1.1× 297 0.9× 112 2.7k
Madhu Khullar India 32 1.2k 1.5× 442 0.9× 315 0.9× 233 0.7× 279 0.9× 146 3.2k
Evgenia Dobrinskikh United States 24 805 1.0× 395 0.8× 286 0.8× 204 0.6× 362 1.2× 66 2.3k
Akira Kondo Japan 31 1.3k 1.6× 416 0.9× 509 1.4× 461 1.3× 485 1.5× 141 3.5k
Zbigniew Kmieć Poland 26 1.1k 1.3× 393 0.8× 536 1.5× 377 1.1× 184 0.6× 140 3.1k
Evi Schmid Germany 23 1.4k 1.8× 204 0.4× 278 0.8× 415 1.2× 340 1.1× 74 3.0k
Yukiko Mori Japan 28 923 1.2× 407 0.9× 203 0.6× 632 1.8× 199 0.6× 153 2.7k

Countries citing papers authored by Pavel Babál

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Babál

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Babál

This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Babál. A scholar is included among the top collaborators of Pavel Babál 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 Pavel Babál. Pavel Babál 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
2.
Babál, Pavel, et al.. (2025). Investigating the Role of Gut Microbiota in the Pathogenesis and Progression of Rheumatoid Arthritis in a Collagen-Induced Arthritis Mouse Model. International Journal of Molecular Sciences. 26(11). 5099–5099. 1 indexed citations
3.
Babál, Pavel, et al.. (2025). Therapeutic Effects of DNase I on Peripheral and Local Markers of Liver Injury and Neutrophil Extracellular Traps in a Model of Alcohol-Related Liver Disease. International Journal of Molecular Sciences. 26(5). 1893–1893. 2 indexed citations
4.
Mayer, Beate, et al.. (2025). Pembrolizumab- induced subacute cutaneous lupus erythematosus in a patient with oropharyngeal squamous cell carcinoma: A case report and literature review. Human Vaccines & Immunotherapeutics. 21(1). 2454073–2454073. 1 indexed citations
5.
Švecová, D, et al.. (2024). Clinical manifestation variability of bullous pemphigoid. Bratislavské lekárske listy/Bratislava medical journal. 125(11). 685–692. 1 indexed citations
6.
Varga, Ivan, et al.. (2023). The Neglected Uterine NK Cells/Hamperl Cells/Endometrial Stromal Granular Cell, or K Cells: A Narrative Review from History through Histology and to Medical Education. International Journal of Molecular Sciences. 24(16). 12693–12693. 9 indexed citations
7.
Babál, Pavel, et al.. (2023). Trichinella spiralis (Owen, 1835) Induces Increased Dystrophin Expression in Invaded Cross-striated Muscle. Acta Parasitologica. 68(2). 393–399. 1 indexed citations
8.
Šoltýsová, Andrea, et al.. (2021). KIT Expression Is Regulated by DNA Methylation in Uveal Melanoma Tumors. International Journal of Molecular Sciences. 22(19). 10748–10748. 2 indexed citations
9.
Janega, Pavol, et al.. (2021). Complex changes of circadian proteins expression in inflammatory bowel disease. Bratislavské lekárske listy/Bratislava medical journal. 122(4). 235–241. 11 indexed citations
10.
Šoltýsová, Andrea, Tatiana Sedláčková, Dana Dvorská, et al.. (2020). Monosomy 3 Influences Epithelial-Mesenchymal Transition Gene Expression in Uveal Melanoma Patients; Consequences for Liquid Biopsy. International Journal of Molecular Sciences. 21(24). 9651–9651. 12 indexed citations
11.
Šteňová, Emὄke, et al.. (2020). Hypereosinophilic syndrome—a rare adverse event of anti-cytokine treatment in rheumatoid arthritis resolved after Janus kinase inhibitor therapy. Clinical Rheumatology. 39(11). 3507–3510. 8 indexed citations
12.
Chovanec, Michal, Zuzana Čierna, Katarína Macháleková, et al.. (2018). βcatenin is a marker of poor clinical characteristics and suppressed immune infiltration in testicular germ cell tumors. BMC Cancer. 18(1). 1062–1062. 19 indexed citations
13.
Furdová, Alena, et al.. (2018). Uveal melanoma survival rates after single dose stereotactic radiosurgery. Neoplasma. 65(6). 965–971. 14 indexed citations
14.
Furdová, Alena & Pavel Babál. (2017). Giant Orbital Melanoma in a Heroin Abuser. Case Reports in Ophthalmology. 8(1). 288–293.
15.
Furdová, Alena, et al.. (2017). [Non-melanotic Tumors of the Eyelids Skin and Inner Corner - Basocellular Carcinoma].. PubMed. 71(6). 293–301. 4 indexed citations
16.
Markus, Ján, et al.. (2017). [THE BRAF MUTATION AND THE POSSIBILITIES OF UVEAL MELANOMA METASTASING PROGNOSTIC MARKERS IDENTIFICATION].. PubMed. 72(4). 149–156. 2 indexed citations
17.
Kaľavská, Katarína, Michal Chovanec, Miriam Zaťovičová, et al.. (2016). Prognostic value of serum carbonic anhydrase IX in testicular germ cell tumor patients. Oncology Letters. 12(4). 2590–2598. 6 indexed citations
18.
Babál, Pavel, et al.. (2013). Omphalocele with ectopic liver forming a mesodermal cyst. Bratislavské lekárske listy/Bratislava medical journal. 114(2). 100–103. 2 indexed citations
19.
Mego, Michal, Zuzana Čierna, Daniela Světlovská, et al.. (2013). PARP expression in germ cell tumours. Journal of Clinical Pathology. 66(7). 607–612. 55 indexed citations
20.
Kučerová, Lucia, et al.. (2013). In Vivo 5FU-Exposed Human Medullary Thyroid Carcinoma Cells Contain a Chemoresistant CD133+ Tumor–Initiating Cell Subset. Thyroid. 24(3). 520–532. 12 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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