Nada Kubikova
- Molecular Biology
- Genetics
- Public Health, Environmental and Occupational Health
- Pediatrics, Perinatology and Child Health
- Business and International Management top 5%
- Co-authors
- Dagan WellsJames M. A. TurnerAfshan McCarthyKathy K. NiakanNorah M. E. FogartyValdone MaciulyteBenjamin E. PowellDaesik Kim
- Topics
- CRISPR and Genetic Engineering (4 papers)Prenatal Screening and Diagnostics (4 papers)Pluripotent Stem Cells Research (2 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Nada Kubikova
10 papers receiving 450 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 399
- Genetics 100
- Public Health, Environmental and Occupational Health 91
- Pediatrics, Perinatology and Child Health 50
- Business and International Management 45
Countries citing papers authored by Nada Kubikova
This map shows the geographic impact of Nada Kubikova'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 Nada Kubikova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nada Kubikova more than expected).
Fields of papers citing papers by Nada Kubikova
This network shows the impact of papers produced by Nada Kubikova. 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 Nada Kubikova. The network helps show where Nada Kubikova may publish in the future.
Co-authorship network of co-authors of Nada Kubikova
This figure shows the co-authorship network connecting the top 25 collaborators of Nada Kubikova. A scholar is included among the top collaborators of Nada Kubikova 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 Nada Kubikova. Nada Kubikova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 144 | |
| 4 | 25 | |
| 5 | 13 | |
| 6 | Factors affecting embryonic mosaicism | 5 |
| 7 | Frequency and clinical relevance of mosaic segmental aneuploidy in blastocyst stage human embryos | 2 |
| 8 | 254 | |
| 9 | Evidence that differences between embryology laboratories can influence the rate of mitotic errors, leading to increased chromosomal mosaicism, with significant implications for IVF success rates | 3 |
| 10 | 9 |
About Nada Kubikova
Nada Kubikova is a scholar working on Aging, Pediatrics, Perinatology and Child Health and Genetics, having authored 10 papers that have together received 464 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Prenatal Screening and Diagnostics (4 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Business and International Management (45 citations), Aging (16 citations) and Molecular Biology (399 citations). Nada Kubikova has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Dagan Wells, James M. A. Turner, Afshan McCarthy, Kathy K. Niakan, Norah M. E. Fogarty, Valdone Maciulyte, Benjamin E. Powell, Daesik Kim, Kirsten E Snijders and Jens Kleinjung. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.