Jitka Štekrová

669 total citations
47 papers, 504 citations indexed

About

Jitka Štekrová is a scholar working on Molecular Biology, Genetics and Nephrology. According to data from OpenAlex, Jitka Štekrová has authored 47 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 26 papers in Genetics and 19 papers in Nephrology. Recurrent topics in Jitka Štekrová's work include Genetic and Kidney Cyst Diseases (20 papers), Renal Diseases and Glomerulopathies (17 papers) and Renal and related cancers (15 papers). Jitka Štekrová is often cited by papers focused on Genetic and Kidney Cyst Diseases (20 papers), Renal Diseases and Glomerulopathies (17 papers) and Renal and related cancers (15 papers). Jitka Štekrová collaborates with scholars based in Czechia, United States and Netherlands. Jitka Štekrová's co-authors include Jana Reiterová, Vladimı́r Tesař, M. Kohoutová, M Merta, Ondřej Viklický, Romana Ryšavá, Veronika Elišáková, Dita Maixnerová, M Merta and Jana Vandrovcová and has published in prestigious journals such as PLoS ONE, Gene and European Journal of Cancer.

In The Last Decade

Jitka Štekrová

43 papers receiving 492 citations

Peers

Jitka Štekrová

GENET

NEPHR

PFM

ONCOL

China Nagano Japan

Irini Tossidou Germany

Yoshimi Nozu Japan

Naoya Morisada Japan

L Chadwick United States

Mónica Furlano Spain

Jean‐Bernard Palcoux France

Ron Krofft United States

Pauliina Luimula Finland

Djillali Sahali France

China Nagano Japan

Jitka Štekrová

361 ×1.3

154 ×0.7

GENET

161 ×1.1

NEPHR

63 ×0.5

PFM

25 ×0.5

ONCOL

Citations per year, relative to Jitka Štekrová Jitka Štekrová (= 1×) peers China Nagano

Countries citing papers authored by Jitka Štekrová

Since Specialization

Citations

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

Fields of papers citing papers by Jitka Štekrová

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jitka Štekrová

This figure shows the co-authorship network connecting the top 25 collaborators of Jitka Štekrová. A scholar is included among the top collaborators of Jitka Štekrová 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 Jitka Štekrová. Jitka Štekrová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Elišáková, Veronika, M Merta, Jana Reiterová, et al.. (2018). Bilineal inheritance of pathogenic PKD1 and PKD2 variants in a Czech family with autosomal dominant polycystic kidney disease – a case report. BMC Nephrology. 19(1). 163–163. 8 indexed citations

Štekrová, Jitka, et al.. (2018). Mutational screening of inverted formin 2 in adult-onset focal segmental glomerulosclerosis or minimal change patients from the Czech Republic. BMC Medical Genetics. 19(1). 147–147. 9 indexed citations

Florianová, Martina, et al.. (2016). Detection of SHOX gene aberrations in routine diagnostic practice and evaluation of phenotype scoring form effectiveness. Journal of Human Genetics. 62(2). 253–257. 6 indexed citations

Elišáková, Veronika, Jitka Štekrová, Jana Reiterová, et al.. (2014). Novel mutations of PKD genes in the Czech population with autosomal dominant polycystic kidney disease. BMC Medical Genetics. 15(1). 41–41. 21 indexed citations

Reiterová, Jana, et al.. (2012). TRPC6 Gene Variants in Czech Adult Patients with Focal Segmental Glomerulosclerosis and Minimal Change Disease. Folia Biologica. 58(4). 173–176. 12 indexed citations

Urbanová, Markéta, et al.. (2011). DNA Analysis of Renal Electrolyte Transporter Genes Among Patients Suffering from Bartter and Gitelman Syndromes – Summary of Mutation Screening. Folia Biologica. 57(2). 65–73. 16 indexed citations

Baxová, A, et al.. (2011). Cryptic Chromosomal Rearrangements in Children with Idiopathic Mental Retardation in the Czech Population. Genetic Testing and Molecular Biomarkers. 15(9). 607–611. 4 indexed citations

Baxová, A, et al.. (2011). SHOX gene defects and selected dysmorphic signs in patients of idiopathic short stature and Léri–Weill dyschondrosteosis. Gene. 491(2). 123–127. 36 indexed citations

Štekrová, Jitka, et al.. (2009). New mutations in the PKD1 gene in Czech population with autosomal dominant polycystic kidney disease. BMC Medical Genetics. 10(1). 78–78. 9 indexed citations

10.

Maixnerová, Dita, M Merta, Jana Reiterová, et al.. (2008). The Influence of Two megsin Polymorphisms on the Progression of IgA Nephropathy. Folia Biologica. 54(2). 40–45. 6 indexed citations

11.

Reiterová, Jana, Martin Leníček, Jitka Štekrová, et al.. (2008). Influence of VEGF Polymorphism on Progression of Autosomal Dominant Polycystic Kidney Disease. Kidney & Blood Pressure Research. 31(6). 398–403. 13 indexed citations

12.

Reiterová, Jana, M Merta, Jitka Štekrová, et al.. (2007). The Influence of Endothelin-A Receptor Gene Polymorphism on the Progression of Autosomal Dominant Polycystic Kidney Disease and IgA Nephropathy. Folia Biologica. 53(4). 134–137. 9 indexed citations

13.

Merta, M, Jana Reiterová, Dita Maixnerová, et al.. (2006). Genetic basis of nephrotic syndrome--review.. PubMed. 107(1). 5–16. 16 indexed citations

14.

Štekrová, Jitka, et al.. (2004). PKD2 mutations in a Czech population with autosomal dominant polycystic kidney disease. Nephrology Dialysis Transplantation. 19(5). 1116–1122. 15 indexed citations

15.

Reiterová, Jana, Jitka Štekrová, M. Kohoutová, et al.. (2004). The Influence of G‐Protein β₃‐Subunit Gene and Endothelial Nitric Oxide Synthase Gene in Exon 7 Polymorphisms on Progression of Autosomal Dominant Polycystic Kidney Disease. Renal Failure. 26(2). 119–125. 6 indexed citations

16.

Merta, M, Jana Reiterová, Jitka Štekrová, et al.. (2003). Influence of the Alpha-Adducin and ACE Gene Polymorphism on the Progression of Autosomal-Dominant Polycystic Kidney Disease. Kidney & Blood Pressure Research. 26(1). 42–49. 17 indexed citations

17.

Merta, M, Jana Reiterová, Vladimı́r Tesař, Jitka Štekrová, & Ondřej Viklický. (2002). INFLUENCE OF THE ENDOTHELIAL NITRIC OXIDE SYNTHASE POLYMORPHISM ON THE PROGRESSION OF AUTOSOMAL DOMINANT POLYCYSTIC KIDNEY DISEASE AND IgA NEPHROPATHY. Renal Failure. 24(4). 467–475. 13 indexed citations

18.

Kohoutová, M., et al.. (2002). APCgermline mutations identified in Czech patients with familial adenomatous polyposis. Human Mutation. 19(4). 460–461. 11 indexed citations

19.

Reiterová, Jana, M Merta, Vladimı́r Tesař, & Jitka Štekrová. (2002). Endothelial Nitric Oxide Synthase Affects the Progression of Autosomal Dominant Polycystic Kidney Disease. Kidney & Blood Pressure Research. 25(2). 87–90. 8 indexed citations

20.

Reiterová, Jana, et al.. (2002). Four novel mutations of the PKD2 gene in czech families with autosomal dominant polycystic kidney disease. Human Mutation. 19(5). 573–573. 11 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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