Peter Kubisz

2.2k total citations
163 papers, 1.5k citations indexed

About

Peter Kubisz is a scholar working on Hematology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Peter Kubisz has authored 163 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Hematology, 57 papers in Cardiology and Cardiovascular Medicine and 45 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Peter Kubisz's work include Platelet Disorders and Treatments (46 papers), Blood properties and coagulation (41 papers) and Venous Thromboembolism Diagnosis and Management (39 papers). Peter Kubisz is often cited by papers focused on Platelet Disorders and Treatments (46 papers), Blood properties and coagulation (41 papers) and Venous Thromboembolism Diagnosis and Management (39 papers). Peter Kubisz collaborates with scholars based in Slovakia, Algeria and Czechia. Peter Kubisz's co-authors include Ján Staško, Miroslava Dobrotová, Marián Mokáň, Ingrid Škorňová, Péter Galajda, Matej Samoš, Tomáš Šimurda, Juraj Sokol, Jela Ivanková and Lucia Stančiaková and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and The Journal of Urology.

In The Last Decade

Peter Kubisz

153 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Kubisz Slovakia 22 588 556 369 336 250 163 1.5k
Kathleen E. Brummel United States 12 887 1.5× 505 0.9× 388 1.1× 235 0.7× 324 1.3× 14 1.7k
H. Pelzer Germany 18 792 1.3× 388 0.7× 405 1.1× 374 1.1× 223 0.9× 50 1.5k
Ján Staško Slovakia 20 471 0.8× 488 0.9× 339 0.9× 257 0.8× 199 0.8× 134 1.3k
Eriko Morishita Japan 24 830 1.4× 385 0.7× 395 1.1× 313 0.9× 245 1.0× 166 1.7k
Shu He Sweden 20 555 0.9× 316 0.6× 250 0.7× 363 1.1× 122 0.5× 42 1.1k
G.D.O. Lowe United Kingdom 17 365 0.6× 444 0.8× 285 0.8× 396 1.2× 276 1.1× 61 1.4k
Giuseppe Cella Italy 21 533 0.9× 399 0.7× 441 1.2× 294 0.9× 428 1.7× 87 1.4k
Krystyna Zawilska Poland 14 537 0.9× 412 0.7× 462 1.3× 281 0.8× 229 0.9× 90 1.2k
Şerafettin Kirazlı Türkiye 20 593 1.0× 295 0.5× 155 0.4× 149 0.4× 365 1.5× 69 1.3k
Philip W. Friederich Netherlands 19 1.2k 2.1× 453 0.8× 547 1.5× 194 0.6× 267 1.1× 23 2.0k

Countries citing papers authored by Peter Kubisz

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kubisz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Kubisz

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Kubisz. A scholar is included among the top collaborators of Peter Kubisz 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 Peter Kubisz. Peter Kubisz 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.
Šimurda, Tomáš, R. Vilar, Jana Žolková, et al.. (2020). A Novel Nonsense Mutation in FGB (c.1421G>A; p.Trp474Ter) in the Beta Chain of Fibrinogen Causing Hypofibrinogenemia with Bleeding Phenotype. Biomedicines. 8(12). 605–605. 28 indexed citations
2.
Samoš, Matej, Jana Žolková, Lucia Stančiaková, et al.. (2018). On-treatment platelet reactivity in the era of new ADP receptor blockers: data from a real-world clinical practice. SHILAP Revista de lepidopterología. 18(2). 34–39. 1 indexed citations
3.
Samoš, Matej, Tomáš Bolek, Lucia Stančiaková, et al.. (2018). Anti-Xa activity in oral factor Xa inhibitor-treated patients with atrial fibrillation and a higher risk of bleeding. Blood Coagulation & Fibrinolysis. 29(4). 369–373. 10 indexed citations
4.
Staško, Ján, Miroslava Dobrotová, Jela Ivanková, et al.. (2017). Sticky platelet syndrome - current status and perspectives. 16(2). 56–60. 1 indexed citations
5.
Samoš, Matej, Tomáš Bolek, Lucia Stančiaková, et al.. (2017). Does type 2 diabetes affect the on-treatment levels of direct oral anticoagulants in patients with atrial fibrillation?. Diabetes Research and Clinical Practice. 135. 172–177. 8 indexed citations
6.
Samoš, Matej, František Kovář, Péter Galajda, et al.. (2016). The Impact of Type 2 Diabetes on the Efficacy of ADP Receptor Blockers in Patients with Acute ST Elevation Myocardial Infarction: A Pilot Prospective Study. Journal of Diabetes Research. 2016. 1–6. 1 indexed citations
7.
Samoš, Matej, František Kovář, Lucia Stančiaková, et al.. (2015). Ticagrelor. Blood Coagulation & Fibrinolysis. 27(2). 117–120. 9 indexed citations
8.
Sokol, Juraj, Mária Škereňová, Kamil Biringer, et al.. (2015). Genetic variations of the GP6 regulatory region in patients with sticky platelet syndrome and miscarriage. Expert Review of Hematology. 8(6). 863–868. 7 indexed citations
9.
Samoš, Matej, František Kovář, Péter Galajda, et al.. (2014). Prasugrel loading dose in diabetic patients with acute STEMI - Always sufficiently effective? Observation in two cases and review of current knowledge. Cor et Vasa. 56(5). e388–e395. 1 indexed citations
10.
Samoš, Matej, František Kovář, Péter Galajda, et al.. (2014). Clopidogrel resistance in diabetic patient with acute myocardial infarction due to stent thrombosis. The American Journal of Emergency Medicine. 32(5). 461–465. 9 indexed citations
11.
Samoš, Matej, et al.. (2013). Role of VASP Phosphorylation Assay in Monitoring the Antiplatelet Therapy. SHILAP Revista de lepidopterología. 13(1). 21–26. 4 indexed citations
12.
13.
Kubisz, Peter, et al.. (2011). Sticky platelet syndrome in a patient with transitory ischemic attack and the family. A case report. 12(2). 99–104. 3 indexed citations
14.
Staško, Ján, et al.. (2011). The relationship among TAFI, t-PA, PAI-1 and F1 + 2 in type 2 diabetic patients with normoalbuminuria and microalbuminuria. Blood Coagulation & Fibrinolysis. 22(6). 493–498. 25 indexed citations
15.
Galajda, Péter, Emil Martinka, Marián Mokáň, & Peter Kubisz. (1997). ENDOTHELIAL MARKERS IN DIABETES MELLITUS. Thrombosis Research. 85(1). 63–65. 25 indexed citations
16.
Kubisz, Peter, et al.. (1985). Platelet function in hyperlipoproteinaemia.. PubMed. 112(5). 752–9. 11 indexed citations
17.
18.
Kubisz, Peter, et al.. (1984). Investigations on Platelet Function in Diabetes mellitus. Pathophysiology of Haemostasis and Thrombosis. 14(4). 347–353. 19 indexed citations
19.
Caen, J, S Cronberg, & Peter Kubisz. (1977). Platelets : physiology and pathology. 12 indexed citations
20.
Kubisz, Peter, et al.. (1975). A new abnormality of platelet functions. Association of storage pool disease (thrombocytopathia A) with impaired reactivity of platelets to collagen.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 102(3). 346–56. 1 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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