Daniela Siváková
- Genetics
- Endocrinology, Diabetes and Metabolism
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Surgery
- Co-authors
- Lenka LuptákováZuzana DaňkováZofia SzczerkowskaKrzysztof RębałaIosif S. TsybovskyP BlažičekAneta Szczerkowska‐DoboszLadislava Wsólová
- Topics
- Forensic and Genetic Research (10 papers)Genetic diversity and population structure (9 papers)Nutrition, Genetics, and Disease (8 papers)
In The Last Decade
Daniela Siváková
50 papers receiving 327 citations
Peers
Comparison fields: 5 of 71
- Genetics 170
- Endocrinology, Diabetes and Metabolism 62
- Molecular Biology 57
- Cardiology and Cardiovascular Medicine 53
- Surgery 34
Countries citing papers authored by Daniela Siváková
This map shows the geographic impact of Daniela Siváková'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 Siváková with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Siváková more than expected).
Fields of papers citing papers by Daniela Siváková
This network shows the impact of papers produced by Daniela Siváková. 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 Siváková. The network helps show where Daniela Siváková may publish in the future.
Co-authorship network of co-authors of Daniela Siváková
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Siváková. A scholar is included among the top collaborators of Daniela Siváková 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 Siváková. Daniela Siváková is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 16 | |
| 8 | 29 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | Apolipoprotein E polymorphism in relation to plasma lipid levels and other risk factors of atherosclerosis in two ethnic groups from Slovakia. | 6 |
| 12 | 3 | |
| 13 | 12 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | Some genetic markers in Valachian (Olachian) Gypsies in Slovakia. | 6 |
| 17 | A genetic profile of Romany (Gypsy) subethnic group from a single region in Slovakia. | 4 |
| 18 | [The Slovak gypsies (Romany)--a population with the highest coefficient of inbreeding in Europe]. | 15 |
| 19 | 3 | |
| 20 | 4 |
About Daniela Siváková
Daniela Siváková is a scholar working on Genetics, Museology and Endocrinology, Diabetes and Metabolism, having authored 51 papers that have together received 342 indexed citations. Recurring topics across this work include Forensic and Genetic Research (10 papers), Genetic diversity and population structure (9 papers) and Nutrition, Genetics, and Disease (8 papers). The work is most often cited by research in Anatomy (10 citations), Genetics (170 citations) and Endocrinology, Diabetes and Metabolism (62 citations). Daniela Siváková has collaborated with scholars based in Slovakia, Poland and Belarus. Frequent co-authors include Lenka Luptáková, Zuzana Daňková, Zofia Szczerkowska, Krzysztof Rębała, Iosif S. Tsybovsky, P Blažiček, Aneta Szczerkowska‐Dobosz, Ladislava Wsólová, M. Pospíšil and Katarı́na Rašlová. Their work appears in journals such as BioMed Research International, Journal of Human Evolution and European Journal of Human Genetics.
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.