Nina Škottová
- Pulmonary and Respiratory Medicine top 10%
- Pharmacology top 1%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Pharmacology top 10%
- Co-authors
- Rostislav VečeřaVilı́m ŠimánekAivar LõokeneGunilla OlivecronaJitka UlrichováKarel UrbánekDaniela WalterováMagnus Hultin
- Topics
- Silymarin and Mushroom Poisoning (14 papers)Drug-Induced Hepatotoxicity and Protection (9 papers)Hormonal and reproductive studies (6 papers)
In The Last Decade
Nina Škottová
35 papers receiving 829 citations
Peers
Comparison fields: 5 of 76
- Pulmonary and Respiratory Medicine 368
- Pharmacology 304
- Molecular Biology 281
- Endocrinology, Diabetes and Metabolism 193
- Pharmacology 148
Countries citing papers authored by Nina Škottová
This map shows the geographic impact of Nina Škottová'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 Nina Škottová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Škottová more than expected).
Fields of papers citing papers by Nina Škottová
This network shows the impact of papers produced by Nina Škottová. 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 Nina Škottová. The network helps show where Nina Škottová may publish in the future.
Co-authorship network of co-authors of Nina Škottová
This figure shows the co-authorship network connecting the top 25 collaborators of Nina Škottová. A scholar is included among the top collaborators of Nina Škottová 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 Nina Škottová. Nina Škottová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 13 | |
| 3 | 60 | |
| 4 | 12 | |
| 5 | 83 | |
| 6 | 24 | |
| 7 | 73 | |
| 8 | 11 | |
| 9 | Antioxidant status, lipoprotein profile and liver lipids in rats fed on high-cholesterol diet containing currant oil rich in n-3 and n-6 polyunsaturated fatty acids. | 13 |
| 10 | 13 | |
| 11 | ["Silymarin"--an extract from the milk thistle (Silybum marianum)--is it a drug or nutritional supplement?]. | 3 |
| 12 | 21 | |
| 13 | 2 | |
| 14 | Effect of silymarin on serum cholesterol levels in rats. | 18 |
| 15 | 58 | |
| 16 | 112 | |
| 17 | 9 | |
| 18 | 18 | |
| 19 | 9 | |
| 20 | Effect of premature weaning on the fatty acid composition of rat adipose tissue. | 1 |
About Nina Škottová
Nina Škottová is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 35 papers that have together received 893 indexed citations. Recurring topics across this work include Silymarin and Mushroom Poisoning (14 papers), Drug-Induced Hepatotoxicity and Protection (9 papers) and Hormonal and reproductive studies (6 papers). The work is most often cited by research in Pharmacology (304 citations), Endocrinology, Diabetes and Metabolism (193 citations) and Pulmonary and Respiratory Medicine (368 citations). Nina Škottová has collaborated with scholars based in Czechia, Slovakia and Sweden. Frequent co-authors include Rostislav Večeřa, Vilı́m Šimánek, Aivar Lõokene, Gunilla Olivecrona, Jitka Ulrichová, Karel Urbánek, Daniela Walterová, Magnus Hultin, Ladislav Cvak and Ludmila Kazdová. Their work appears in journals such as Biochemical Journal, Journal of Lipid Research and European Journal of Biochemistry.
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.