Daniela Vejražková

537 total citations
36 papers, 400 citations indexed

About

Daniela Vejražková is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Genetics. According to data from OpenAlex, Daniela Vejražková has authored 36 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Physiology and 9 papers in Genetics. Recurrent topics in Daniela Vejražková's work include Gestational Diabetes Research and Management (8 papers), Ovarian function and disorders (6 papers) and Pancreatic function and diabetes (6 papers). Daniela Vejražková is often cited by papers focused on Gestational Diabetes Research and Management (8 papers), Ovarian function and disorders (6 papers) and Pancreatic function and diabetes (6 papers). Daniela Vejražková collaborates with scholars based in Czechia and Italy. Daniela Vejražková's co-authors include Běla Bendlová, Josef Včelák, MarkéŽta Vaňkov‡á, Radmila Kancheva, Tereza Hálková, Jana Vrbíková, Martin Hill, Robert Rusina, Iva Holmerová and Hana Vaňková and has published in prestigious journals such as International Journal of Molecular Sciences, Fertility and Sterility and The Journal of Steroid Biochemistry and Molecular Biology.

In The Last Decade

Daniela Vejražková

35 papers receiving 392 citations

Peers

Daniela Vejražková
Anindita Nandi United States
Daniela Vejražková
Citations per year, relative to Daniela Vejražková Daniela Vejražková (= 1×) peers Anindita Nandi

Countries citing papers authored by Daniela Vejražková

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Vejražková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Vejražková

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Vejražková. A scholar is included among the top collaborators of Daniela Vejražková 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 Daniela Vejražková. Daniela Vejražková 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.
Vejražková, Daniela, MarkéŽta Vaňkov‡á, Martin Hill, et al.. (2023). The Glycemic Curve during the Oral Glucose Tolerance Test: Is It Only Indicative of Glycoregulation?. Biomedicines. 11(5). 1278–1278. 3 indexed citations
2.
Vaňkov‡á, MarkéŽta, et al.. (2023). Age-Related Changes in Proinsulin Processing in Normoglycemic Individuals. Physiological Research. 72(S4). S389–S397. 1 indexed citations
3.
Vaňkov‡á, MarkéŽta, Marta Velíková, Daniela Vejražková, et al.. (2023). The Role of Steroidomics in the Diagnosis of Alzheimer’s Disease and Type 2 Diabetes Mellitus. International Journal of Molecular Sciences. 24(10). 8575–8575. 2 indexed citations
4.
Vejražková, Daniela, MarkéŽta Vaňkov‡á, Josef Včelák, et al.. (2022). The rs10830963 Polymorphism of the MTNR1B Gene: Association With Abnormal Glucose, Insulin and C-peptide Kinetics. Frontiers in Endocrinology. 13. 868364–868364. 10 indexed citations
5.
Hill, Martin, Antonı́n Pařı́zek, Patrik Šimják, et al.. (2021). Steroids, steroid associated substances and gestational diabetes mellitus. Physiological Research. 70(Suppl4). S617–S634. 15 indexed citations
6.
Vejražková, Daniela, Josef Včelák, Eliška Václavíková, et al.. (2021). Recurrence of Graves’ Disease: What Genetics of HLA and PTPN22 Can Tell Us. Frontiers in Endocrinology. 12. 761077–761077. 6 indexed citations
7.
Pařı́zek, Antonı́n, Patrik Šimják, Daniela Vejražková, et al.. (2021). Altered Steroidome in Women with Gestational Diabetes Mellitus: Focus on Neuroactive and Immunomodulatory Steroids from the 24th Week of Pregnancy to Labor. Biomolecules. 11(12). 1746–1746. 3 indexed citations
8.
Vejražková, Daniela, Kateřina Dvořáková, Robert Rusina, et al.. (2017). Associations of polymorphisms in the candidate genes for Alzheimer’s disease BIN1, CLU, CR1 and PICALM with gestational diabetes and impaired glucose tolerance. Molecular Biology Reports. 44(2). 227–231. 11 indexed citations
9.
Bendlová, Běla, MarkéŽta Vaňkov‡á, Martin Hill, et al.. (2017). ZBTB16 Gene Variability Influences Obesity-Related Parameters and Serum Lipid Levels in Czech Adults. Physiological Research. 66(Suppl 3). S425–S431. 17 indexed citations
10.
Vaňkov‡á, MarkéŽta, Martin Hill, Marta Velíková, et al.. (2015). Reduced Sulfotransferase SULT2A1 Activity in Patients With Alzheimer´s Disease. Physiological Research. 64(Suppl 2). S265–S273. 14 indexed citations
11.
Vaňkov‡á, MarkéŽta, Daniela Vejražková, Kateřina Komrsková, et al.. (2015). Neuroactive steroids as predictive markers for Alzheimer's disease. Endocrine Abstracts. 3 indexed citations
12.
Vaňkov‡á, MarkéŽta, Martin Hill, Marta Velíková, et al.. (2015). Preliminary evidence of altered steroidogenesis in women with Alzheimer’s disease: Have the patients “OLDER” adrenal zona reticularis?. The Journal of Steroid Biochemistry and Molecular Biology. 158. 157–177. 20 indexed citations
13.
Vejražková, Daniela, Josef Včelák, MarkéŽta Vaňkov‡á, et al.. (2012). Steroids and insulin resistance in pregnancy. The Journal of Steroid Biochemistry and Molecular Biology. 139. 122–129. 74 indexed citations
14.
Bendlová, Běla, Jana Vrbíková, Martin Hill, et al.. (2008). Dehydroepiandrosterone in Relation to Adiposity, Glucose Tolerance and Lipid Spectra in Czech Non-Diabetic Population. Physiological Research. 57 Suppl 1. S67–S76. 4 indexed citations
15.
Bendlová, Běla, Daniela Vejražková, Josef Včelák, et al.. (2008). PPAR γ2 Pro12Ala Polymorphism in Relation to Free Fatty Acids Concentration and Composition in Lean Healthy Czech Individuals with and without Family History of Diabetes Type 2. Physiological Research. 57 Suppl 1. S77–S90. 12 indexed citations
16.
Včelák, Josef, et al.. (2008). Screening of Mutations and Polymorphisms in the Glucokinase Gene in Czech Diabetic and Healthy Control Populations. Physiological Research. 57 Suppl 1. S99–S108. 14 indexed citations
17.
Bendlová, Běla, MarkéŽta Vaňkov‡á, Kateřina Zajíčková, et al.. (2008). Low-density lipoprotein receptor–related protein-5 C/T polymorphism in exon 18 is associated with C peptide and proinsulin levels in control women and patients with polycystic ovary syndrome. Fertility and Sterility. 90(3). 699–708. 1 indexed citations
18.
Bendlová, Běla, MarkéŽta Vaňkov‡á, Daniela Vejražková, et al.. (2007). Role of D327N sex hormone-binding globulin gene polymorphism in the pathogenesis of polycystic ovary syndrome. The Journal of Steroid Biochemistry and Molecular Biology. 104(1-2). 68–74. 21 indexed citations
19.
Vrbíková, Jana, MarkéŽta Vaňkov‡á, Daniela Vejražková, et al.. (2006). Role of D327N sex-hormone binding globulin gene polymorphism in the pathogenesis of polycystic ovary syndrome. 1 indexed citations
20.
Vejražková, Daniela & Běla Bendlová. (2005). [Two promising candidate genes in the ethiopathogenesis of DM2 - PPARgamma2 and KCNJ11].. PubMed. 144(11). 721–5; discussion 725. 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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