Věra Lánská

4.4k total citations
171 papers, 2.2k citations indexed

About

Věra Lánská is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Věra Lánská has authored 171 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Surgery, 39 papers in Endocrinology, Diabetes and Metabolism and 33 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Věra Lánská's work include Lipoproteins and Cardiovascular Health (22 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers) and Genetic Associations and Epidemiology (14 papers). Věra Lánská is often cited by papers focused on Lipoproteins and Cardiovascular Health (22 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers) and Genetic Associations and Epidemiology (14 papers). Věra Lánská collaborates with scholars based in Czechia, United Kingdom and United States. Věra Lánská's co-authors include Jaroslav A. Hubáček, Věra Adámková, Petr Lánský, Dana Dlouhá, Jan Piťha, R. Poledne, Renata Cífková, Ivana Králová Lesná, Z Škodová and Michal Vráblík and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Controlled Release.

In The Last Decade

Věra Lánská

160 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Věra Lánská Czechia 27 579 462 406 386 312 171 2.2k
Tao Chen China 28 633 1.1× 162 0.4× 408 1.0× 970 2.5× 220 0.7× 242 3.3k
Robin Young United States 15 457 0.8× 612 1.3× 313 0.8× 739 1.9× 1.2k 3.8× 61 3.3k
Seán Dineen United States 26 698 1.2× 395 0.9× 133 0.3× 877 2.3× 250 0.8× 159 4.3k
A Dâbrowski Poland 26 1.2k 2.0× 207 0.4× 152 0.4× 469 1.2× 82 0.3× 188 2.3k
Hiroki Sato Japan 28 367 0.6× 335 0.7× 347 0.9× 361 0.9× 120 0.4× 115 2.0k
Daniel Yeshurun Israel 30 805 1.4× 494 1.1× 480 1.2× 289 0.7× 143 0.5× 136 3.1k
Yoshiyasu Aizawa Japan 31 272 0.5× 1.8k 3.9× 120 0.3× 716 1.9× 98 0.3× 231 3.5k
Ken Sharpe Australia 30 107 0.2× 221 0.5× 832 2.0× 235 0.6× 598 1.9× 77 3.0k
Hong‐Hee Won South Korea 28 234 0.4× 238 0.5× 103 0.3× 786 2.0× 362 1.2× 135 2.5k
Niall Anderson United Kingdom 34 623 1.1× 519 1.1× 826 2.0× 552 1.4× 1.1k 3.5× 84 3.5k

Countries citing papers authored by Věra Lánská

Since Specialization
Citations

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

Fields of papers citing papers by Věra Lánská

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Věra Lánská

This figure shows the co-authorship network connecting the top 25 collaborators of Věra Lánská. A scholar is included among the top collaborators of Věra Lánská 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 Věra Lánská. Věra Lánská 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
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Hubáček, Jaroslav A., Věra Lánská, Vladimír Soška, et al.. (2023). Genetic risk score in patients with the APOE2/E2 genotype as a predictor of familial dysbetalipoproteinemia. Journal of clinical lipidology. 18(2). e230–e237. 2 indexed citations
3.
Lánská, Věra, et al.. (2023). SECTION 12. TECHNOLOGICAL AND PRACTICAL ASPECTS OF THE PRODUCTION OF GLUTEN-FREE SOURDOUGH BREAD. 247–289. 1 indexed citations
4.
Cífková, Renata, Jan Bruthans, Peter Wohlfahrt, et al.. (2023). Longitudinal Trends in Severe Dyslipidemia in the Czech Population: The Czech MONICA and Czech Post-MONICA Study. Journal of Cardiovascular Development and Disease. 10(8). 328–328. 1 indexed citations
5.
Ivák, Peter, Ivan Netuka, Peter Wohlfahrt, et al.. (2021). The Effect of Artificial Pulsatility on the Peripheral Vasculature in Patients With Continuous-Flow Ventricular Assist Devices. Canadian Journal of Cardiology. 37(10). 1578–1585. 3 indexed citations
6.
Lunová, Mariia, Soňa Fraňková, Eva Kieslichová, et al.. (2021). Portal hypertension is the main driver of liver stiffness in advanced liver cirrhosis. Physiological Research. 70(4). 563–577. 9 indexed citations
7.
Dlouhá, Dana, Peter Ivák, Ivan Netuka, et al.. (2021). The effect of long-term left ventricular assist device support on flow-sensitive plasma microRNA levels. International Journal of Cardiology. 339. 138–143. 5 indexed citations
8.
Krajčoviechová, Alena, Peter Wohlfahrt, Jan Bruthans, et al.. (2020). Longitudinal trends in the prevalence of hyperuricaemia and chronic kidney disease in hypertensive and normotensive adults. Blood Pressure. 29(5). 308–318. 6 indexed citations
9.
Lánská, Věra, et al.. (2019). Retrospective Analysis of Bone Metabolism in Patients on Waiting List for Simultaneous Pancreas-Kidney Transplantation. Journal of Diabetes Research. 2019. 1–12. 3 indexed citations
10.
Dlouhá, Dana, et al.. (2016). Can Leukocyte Telomere Length Predict Survival Time in Heart Transplant Recipients over a Minimal Follow-Up of 20 years?. Folia Biologica. 62(5). 188–193. 3 indexed citations
11.
Hubáček, Jaroslav A., V. Staněk, R. Poledne, et al.. (2015). Rs6922269 marker at the MTHFD1L gene predict cardiovascular mortality in males after acute coronary syndrome. Molecular Biology Reports. 42(8). 1289–1293. 8 indexed citations
12.
Adámková, Věra, et al.. (2012). The quality of the nutrition in smokers.. PubMed. 33 Suppl 2. 3–5. 2 indexed citations
13.
Lánská, Věra, et al.. (2011). Association between symptoms of chronic venous disease in the lower extremities and cardiovascular risk factors in middle-aged women.. PubMed. 30(4). 335–41. 11 indexed citations
14.
15.
Hubáček, Jaroslav A., Romana Bohuslavová, Věra Adámková, et al.. (2010). INSIG2 promoter variant, obesity markers and lipid parameters - No association in a large Slavonic Caucasian population sample.. PubMed. 56(3). 131–4. 6 indexed citations
16.
Kubánek, Miloš, Kevin Goode, Věra Lánská, Andrew L. Clark, & John G.F. Cleland. (2009). The Prognostic Value of Repeated Measurement of N-Terminal Pro-B-Type Natriuretic Peptide in Patients with Chronic Heart Failure Due to Left Ventricular Systolic Dysfunction. European Journal of Heart Failure. 11(4). 367–377. 49 indexed citations
17.
Kubánek, Miloš, Ivan Málek, J Bytesník, et al.. (2006). Decrease in Plasma B-Type Natriuretic Peptide Early After Initiation of Cardiac Resynchronization Therapy Predicts Clinical Improvement at 12 Months. European Journal of Heart Failure. 8(8). 832–840. 27 indexed citations
18.
Kubánek, Miloš, Ivan Málek, Josef Kautzner, et al.. (2005). The Value of B-Type Natriuretic Peptide and Big Endothelin-1 for Detection of Severe Pulmonary Hypertension in Heart Transplant Candidates. European Journal of Heart Failure. 7(7). 1149–1155. 8 indexed citations
19.
Hubáček, Jaroslav A., Věra Adámková, Z Škodová, Věra Lánská, & R. Poledne. (2004). No relation between angiotensin‐converting enzyme gene polymorphism and smoking dependence. Scandinavian Journal of Clinical and Laboratory Investigation. 64(6). 575–578. 6 indexed citations
20.
Hubáček, Jaroslav A., Jan Piťha, Věra Adámková, et al.. (2003). Apolipoprotein E and apolipoprotein CI polymorphisms in the Czech population: almost complete linkage disequilibrium of the less frequent alleles of both polymorphism. Physiological Research. 195–200. 16 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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