Martin Javorský

1.7k total citations
36 papers, 941 citations indexed

About

Martin Javorský is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Martin Javorský has authored 36 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Molecular Biology and 7 papers in Surgery. Recurrent topics in Martin Javorský's work include Diabetes Treatment and Management (8 papers), Metabolism, Diabetes, and Cancer (7 papers) and Vitamin D Research Studies (4 papers). Martin Javorský is often cited by papers focused on Diabetes Treatment and Management (8 papers), Metabolism, Diabetes, and Cancer (7 papers) and Vitamin D Research Studies (4 papers). Martin Javorský collaborates with scholars based in Slovakia, Czechia and United States. Martin Javorský's co-authors include Ivan Tkáč, Alena Stančáková, Markku Laakso, Steven M. Haffner, Teemu Kuulasmaa, Johanna Kuusisto, Lucia Klimčáková, Zbyněk Schroner, Ružena Tkáčová and Miriam Kozárová and has published in prestigious journals such as Diabetes, European Respiratory Journal and Bone.

In The Last Decade

Martin Javorský

35 papers receiving 925 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Javorský Slovakia 16 482 367 339 219 125 36 941
Yuji Tajiri Japan 17 414 0.9× 329 0.9× 296 0.9× 325 1.5× 233 1.9× 73 1.1k
Ivan Tkáč Slovakia 19 580 1.2× 332 0.9× 382 1.1× 176 0.8× 128 1.0× 71 1.0k
László Bajnok Hungary 18 237 0.5× 254 0.7× 278 0.8× 177 0.8× 142 1.1× 42 989
Hidenori Yoshii Japan 16 627 1.3× 323 0.9× 247 0.7× 222 1.0× 203 1.6× 41 1.1k
Olga T. Hardy United States 12 448 0.9× 271 0.7× 325 1.0× 352 1.6× 298 2.4× 19 1.2k
Tsunehiko Yamamoto Japan 16 606 1.3× 362 1.0× 606 1.8× 145 0.7× 92 0.7× 30 1.1k
Tetsuyuki Yasuda Japan 20 515 1.1× 319 0.9× 379 1.1× 151 0.7× 78 0.6× 47 1.2k
Ananda Basu United States 17 341 0.7× 268 0.7× 171 0.5× 381 1.7× 166 1.3× 33 942
Atsutaka Yasui Japan 17 406 0.8× 290 0.8× 194 0.6× 212 1.0× 153 1.2× 27 839
Ching-Chu Chen Taiwan 17 415 0.9× 328 0.9× 143 0.4× 161 0.7× 255 2.0× 29 1.1k

Countries citing papers authored by Martin Javorský

Since Specialization
Citations

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

Fields of papers citing papers by Martin Javorský

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Javorský

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Javorský. A scholar is included among the top collaborators of Martin Javorský 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 Martin Javorský. Martin Javorský 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.
Tkáč, Ivan, Nataša Hlaváčová, Miriam Kozárová, et al.. (2024). Serotonin transporter 5-HTTLPR polymorphism and escitalopram treatment response in patients with major depressive disorder. BMC Psychiatry. 24(1). 690–690. 3 indexed citations
2.
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Rašiová, Mária, Viera Habalová, Jozef Židzik, et al.. (2021). An association between rs7635818 polymorphism located on chromosome 3p12.3 and the presence of abdominal aortic aneurysm. Physiological Research. 70(2). 193–201. 1 indexed citations
4.
Galajda, Péter, et al.. (2020). Glycated haemoglobin as a marker of elevated LDL and TAG: a cohort study. Vnitřní lékařství. 66(6). e28–e34.
5.
Javorský, Martin, Lucia Klimčáková, Jozef Židzik, et al.. (2020). Genetic Variants Associated with Glycemic Response to Treatment with Dipeptidylpeptidase 4 Inhibitors. Pharmacogenomics. 21(5). 317–323. 15 indexed citations
6.
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Petríková, Jana, et al.. (2017). The effect of alfacalcidiol and metformin on metabolic disturbances in women with polycystic ovary syndrome. Hormone Molecular Biology and Clinical Investigation. 29(3). 85–91. 10 indexed citations
8.
Zaharenko, Linda, Ineta Kalniņa, Kristine Geldnere, et al.. (2016). Single nucleotide polymorphisms in the intergenic region between metformin transporter OCT2 and OCT3 coding genes are associated with short-term response to metformin monotherapy in type 2 diabetes mellitus patients. European Journal of Endocrinology. 175(6). 531–540. 25 indexed citations
9.
Tkáčová, Ružena, Walter T. McNicholas, Martin Javorský, et al.. (2014). Nocturnal intermittent hypoxia predicts prevalent hypertension in the European Sleep Apnoea Database cohort study. European Respiratory Journal. 44(4). 931–941. 105 indexed citations
10.
Schroner, Zbyněk, et al.. (2012). Variation in CDKAL1 Gene Is Associated With Therapeutic Response to Sulphonylureas. Physiological Research. 61(2). 177–183. 15 indexed citations
11.
Tkáč, Ivan, et al.. (2012). Pharmacogenomic association between a variant in SLC47A1 gene and therapeutic response to metformin in type 2 diabetes. Diabetes Obesity and Metabolism. 15(2). 189–191. 89 indexed citations
12.
Javorský, Martin, Lucia Klimčáková, Miriam Kozárová, et al.. (2011). [Relationship of the CDKAL1 and KCNQ1 gene polymorphisms to the age at diagnosis of type 2 diabetes in the Slovakian population].. PubMed. 57(2). 155–8. 2 indexed citations
13.
Javorský, Martin, Lucia Klimčáková, Zbyněk Schroner, et al.. (2011). KCNJ11 gene E23K variant and therapeutic response to sulfonylureas. European Journal of Internal Medicine. 23(3). 245–249. 66 indexed citations
14.
Ukropec, Jozef, P. Skyba, Barbara Ukropcová, et al.. (2011). Relationship between osteoporosis and adipose tissue leptin and osteoprotegerin in patients with chronic obstructive pulmonary disease. Bone. 48(5). 1008–1014. 1 indexed citations
15.
Schroner, Zbyněk, Martin Javorský, Lucia Klimčáková, et al.. (2010). Effect of sulphonylurea treatment on glycaemic control is related to TCF7L2 genotype in patients with type 2 diabetes. Diabetes Obesity and Metabolism. 13(1). 89–91. 52 indexed citations
16.
Javorský, Martin, Daniela Gašperíková, Jozef Ukropec, et al.. (2007). Lipoprotein lipase HindIII polymorphism influences HDL-cholesterol levels in statin-treated patients with coronary artery disease. Wiener klinische Wochenschrift. 119(15-16). 476–482. 5 indexed citations
17.
Tkáč, Ivan, Angela Molčányiová, Martin Javorský, & Miriam Kozárová. (2006). Fenofibrate treatment reduces circulating conjugated diene level and increases glutathione peroxidase activity. Pharmacological Research. 53(3). 261–264. 14 indexed citations
18.
Javorský, Martin, Miriam Kozárová, J Šalagovič, & Ivan Tkáč. (2006). Relationship among urinary albumin excretion rate, lipoprotein lipase PvuII polymorphism and plasma fibrinogen in type 2 diabetic patients. Physiological Research. 55(1). 55–62. 6 indexed citations
19.
Javorský, Martin, et al.. (2006). Th-P16:305 Fenofibrate treatment reduces circulating conjugated diene level and increases glutathione peroxidase activity. Atherosclerosis Supplements. 7(3). 560–560. 2 indexed citations
20.
Tkáč, Ivan, J Šalagovič, Miriam Kozárová, et al.. (2003). Angiotensin-converting enzyme genotype, albuminuria and plasma fibrinogen in type 2 diabetes mellitus. Wiener klinische Wochenschrift. 115(23). 835–839. 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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