Daniela Vejražková

59 total papers · 535 total citations
36 papers, 393 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 393 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, Markéta Vaňková, Petra Lukášová, Tereza Hálková, Radmila Kancheva, Jana Vrbíková, Martin Hill, Robert Rusina and K Vondra 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 385 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daniela Vejražková	111	100	96	81	79	36	393
Petra Lukášová	101 0.9×	76 0.8×	91 0.9×	73 0.9×	64 0.8×	29	347
S. Bélisle	60 0.5×	78 0.8×	109 1.1×	88 1.1×	29 0.4×	35	377
Muzaffer Temür	91 0.8×	126 1.3×	46 0.5×	46 0.6×	46 0.6×	46	396
Kanako Ogura	54 0.5×	40 0.4×	68 0.7×	65 0.8×	51 0.6×	29	364
Minlian Du	34 0.3×	158 1.6×	94 1.0×	137 1.7×	68 0.9×	38	440
Irene Martín‐Estal	52 0.5×	93 0.9×	118 1.2×	76 0.9×	70 0.9×	22	390
Meena Balakrishnan	194 1.7×	104 1.0×	82 0.9×	176 2.2×	72 0.9×	31	440
Charlotte L. Branchaud	84 0.8×	154 1.5×	89 0.9×	105 1.3×	24 0.3×	24	368
Sara Zullino	149 1.3×	63 0.6×	56 0.6×	115 1.4×	34 0.4×	25	355
Juan Gui	244 2.2×	44 0.4×	64 0.7×	101 1.2×	23 0.3×	23	376

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

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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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