Eva Kvasničková
- Molecular Biology
- Oncology
- Cardiology and Cardiovascular Medicine
- Pharmacology top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Aalt BastTomáš ŠimůnekHelena Mertlíková‐KaiserováOlga MaťátkováW. J. F. van der VijghJan MasákI.M. HaisVladimı́r Wsól
- Topics
- Pharmacogenetics and Drug Metabolism (10 papers)Chemotherapy-induced cardiotoxicity and mitigation (5 papers)Electron Spin Resonance Studies (4 papers)
- Journals
- Journal of Chromatography ABritish Journal of PharmacologyCellular and Molecular Life Sciences
- Partner nations
- CzechiaNetherlandsUnited Kingdom
In The Last Decade
Eva Kvasničková
32 papers receiving 520 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 169
- Oncology 110
- Cardiology and Cardiovascular Medicine 100
- Pharmacology 87
- Radiology, Nuclear Medicine and Imaging 72
Countries citing papers authored by Eva Kvasničková
This map shows the geographic impact of Eva Kvasničková'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 Eva Kvasničková with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Kvasničková more than expected).
Fields of papers citing papers by Eva Kvasničková
This network shows the impact of papers produced by Eva Kvasničková. 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 Eva Kvasničková. The network helps show where Eva Kvasničková may publish in the future.
Co-authorship network of co-authors of Eva Kvasničková
This figure shows the co-authorship network connecting the top 25 collaborators of Eva Kvasničková. A scholar is included among the top collaborators of Eva Kvasničková 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 Eva Kvasničková. Eva Kvasničková is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 55 | |
| 2 | 25 | |
| 3 | 18 | |
| 4 | 30 | |
| 5 | 25 | |
| 6 | 7 | |
| 7 | 109 | |
| 8 | 32 | |
| 9 | 10 | |
| 10 | 6 | |
| 11 | 26 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 14 | |
| 16 | 8 | |
| 17 | 1 | |
| 18 | 11 | |
| 19 | 10 | |
| 20 | Age differences in the metabolism of electrolytes and water. VI. Estimation of protein, water and electrolytes in one skeletal muscle needle biopsy specimen. | 1 |
About Eva Kvasničková
Eva Kvasničková is a scholar working on Pharmacology, Biophysics and Pharmaceutical Science, having authored 34 papers that have together received 549 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (10 papers), Chemotherapy-induced cardiotoxicity and mitigation (5 papers) and Electron Spin Resonance Studies (4 papers). The work is most often cited by research in Pharmacology (87 citations), Microbiology (28 citations) and Cardiology and Cardiovascular Medicine (100 citations). Eva Kvasničková has collaborated with scholars based in Czechia, Netherlands and United Kingdom. Frequent co-authors include Aalt Bast, Tomáš Šimůnek, Helena Mertlíková‐Kaiserová, Olga Maťátková, W. J. F. van der Vijgh, Jan Masák, I.M. Hais, Vladimı́r Wsól, Barbora Szotáková and Alena Čejková. Their work appears in journals such as Journal of Chromatography A, British Journal of Pharmacology and Cellular and Molecular Life Sciences.
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.