Jana Reiterová

1.2k total citations
53 papers, 663 citations indexed

About

Jana Reiterová is a scholar working on Nephrology, Molecular Biology and Genetics. According to data from OpenAlex, Jana Reiterová has authored 53 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Nephrology, 28 papers in Molecular Biology and 23 papers in Genetics. Recurrent topics in Jana Reiterová's work include Renal Diseases and Glomerulopathies (28 papers), Genetic and Kidney Cyst Diseases (23 papers) and Renal and related cancers (16 papers). Jana Reiterová is often cited by papers focused on Renal Diseases and Glomerulopathies (28 papers), Genetic and Kidney Cyst Diseases (23 papers) and Renal and related cancers (16 papers). Jana Reiterová collaborates with scholars based in Czechia, Slovenia and United States. Jana Reiterová's co-authors include Vladimı́r Tesař, Jitka Štekrová, Romana Ryšavá, M Merta, Dita Maixnerová, M Merta, Ondřej Viklický, M. Kohoutová, Eva Jančová and Eva Honsová and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Nephrology Dialysis Transplantation.

In The Last Decade

Jana Reiterová

50 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jana Reiterová Czechia 16 267 266 234 146 129 53 663
M Merta Czechia 14 207 0.8× 210 0.8× 175 0.7× 189 1.3× 69 0.5× 48 547
Beata S. Lipska‐Ziętkiewicz Poland 13 205 0.8× 254 1.0× 138 0.6× 76 0.5× 40 0.3× 41 538
Yuka Kinoshita Japan 17 535 2.0× 234 0.9× 241 1.0× 117 0.8× 45 0.3× 44 851
China Nagano Japan 15 161 0.6× 361 1.4× 154 0.7× 87 0.6× 43 0.3× 79 630
Ilka Edenhofer Switzerland 12 401 1.5× 258 1.0× 226 1.0× 68 0.5× 33 0.3× 20 719
Madhusudan Venkatareddy United States 12 639 2.4× 313 1.2× 176 0.8× 59 0.4× 41 0.3× 15 838
J P Bilezikian United States 12 372 1.4× 181 0.7× 104 0.4× 114 0.8× 72 0.6× 19 697
Nataša Stajić Serbia 10 187 0.7× 225 0.8× 86 0.4× 106 0.7× 64 0.5× 24 535
Tomohiro Udagawa Japan 9 184 0.7× 198 0.7× 62 0.3× 37 0.3× 124 1.0× 25 516
Karin Bradley United Kingdom 11 284 1.1× 157 0.6× 105 0.4× 109 0.7× 32 0.2× 25 686

Countries citing papers authored by Jana Reiterová

Since Specialization
Citations

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

Fields of papers citing papers by Jana Reiterová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jana Reiterová

This figure shows the co-authorship network connecting the top 25 collaborators of Jana Reiterová. A scholar is included among the top collaborators of Jana Reiterová 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 Jana Reiterová. Jana Reiterová 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.
2.
Reiterová, Jana & Vladimı́r Tesař. (2023). Current and Future Therapeutical Options in Alport Syndrome. International Journal of Molecular Sciences. 24(6). 5522–5522. 4 indexed citations
3.
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
4.
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
5.
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
6.
Reiterová, Jana, et al.. (2012). Mutational Analysis of the NPHS2 Gene in Czech Patients with Idiopathic Nephrotic Syndrome. Folia Biologica. 58(2). 64–68. 12 indexed citations
7.
8.
Merta, M, Jana Reiterová, Jitka Štekrová, et al.. (2011). The Influence of Vascular Endothelial Growth Factor (VEGF) Polymorphism on the Progression of Chronic Glomerulonephritides. Folia Biologica. 57(4). 145–150. 3 indexed citations
9.
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
10.
Reiterová, Jana & M Merta. (2008). Genetické aspekty nefrologických onemocnění. 5(11). 423–425.
11.
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
12.
Merta, M, Jana Reiterová, Dita Maixnerová, et al.. (2006). Genetic basis of nephrotic syndrome--review.. PubMed. 107(1). 5–16. 16 indexed citations
13.
Merta, M, Ivan Špıčka, J Zabka, et al.. (2006). Unusual manifestation of AL amyloidosis—stenosis of inferior vena cava. Nephrology Dialysis Transplantation. 21(5). 1430–1433. 1 indexed citations
14.
Maixnerová, Dita, M Merta, Jana Reiterová, et al.. (2006). The pathogenetic aspects and gene polymorphisms of IgA nephropathy.. PubMed. 107(2). 171–88. 1 indexed citations
15.
Merta, M, et al.. (2005). Long-Term Outcome of Patients with Antineutrophil Cytoplasmic Autoantibody-Associated Vasculitis with Renal Involvement. Kidney & Blood Pressure Research. 28(3). 144–152. 31 indexed citations
16.
Maixnerová, Dita, Eva Jančová, Daniela Pelclová, et al.. (2005). Silica and Asbestos Exposure in ANCA-Associated Vasculitis with Pulmonary Involvement. Renal Failure. 27(5). 605–608. 26 indexed citations
17.
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
18.
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
19.
Merta, M, Jana Reiterová, Romana Ryšavá, Vladimı́r Tesař, & M Jáchymová. (2003). Role of endothelin and nitric oxide in the pathogenesis of arterial hypertension in autosomal dominant polycystic kidney disease. Physiological Research. 52(4). 433–437. 27 indexed citations
20.
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

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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