Jana Karásková
- Molecular Biology top 10%
- Oncology top 10%
- Cancer Research top 5%
- Genetics top 10%
- Genetics top 5%
- Co-authors
- Jeremy A. SquireMing‐Sound TsaoJane BayaniNi LiuCatherine LukHong OuyangMaria ZieleńskaAndrás Nagy
- Topics
- Genomic variations and chromosomal abnormalities (9 papers)Genomics and Chromatin Dynamics (7 papers)DNA Repair Mechanisms (5 papers)
- Cited by
- GeneticsCancer ResearchOncology
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
Jana Karásková
22 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 870
- Oncology 379
- Cancer Research 333
- Genetics 267
- Genetics 248
Countries citing papers authored by Jana Karásková
This map shows the geographic impact of Jana Karásková'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 Jana Karásková with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jana Karásková more than expected).
Fields of papers citing papers by Jana Karásková
This network shows the impact of papers produced by Jana Karásková. 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 Jana Karásková. The network helps show where Jana Karásková may publish in the future.
Co-authorship network of co-authors of Jana Karásková
This figure shows the co-authorship network connecting the top 25 collaborators of Jana Karásková. A scholar is included among the top collaborators of Jana Karásková 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 Jana Karásková. Jana Karásková is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 59 | |
| 2 | 3 | |
| 3 | 44 | |
| 4 | 59 | |
| 5 | 27 | |
| 6 | 65 | |
| 7 | 73 | |
| 8 | 59 | |
| 9 | 91 | |
| 10 | Loss of Brca2 and p53 synergistically promotes genomic instability and deregulation of T-cell apoptosis. | 40 |
| 11 | Parallel analysis of sporadic primary ovarian carcinomas by spectral karyotyping, comparative genomic hybridization, and expression microarrays. | 97 |
| 12 | 36 | |
| 13 | 13 | |
| 14 | 17 | |
| 15 | Astrocyte-specific expression of activated p21-ras results in malignant astrocytoma formation in a transgenic mouse model of human gliomas. | 205 |
| 16 | 160 | |
| 17 | 61 | |
| 18 | 256 | |
| 19 | 5 | |
| 20 | 35 |
About Jana Karásková
Jana Karásková is a scholar working on Aging, Genetics and Molecular Biology, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (9 papers), Genomics and Chromatin Dynamics (7 papers) and DNA Repair Mechanisms (5 papers). The work is most often cited by research in Genetics (248 citations), Cancer Research (333 citations) and Oncology (379 citations). Jana Karásková has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Jeremy A. Squire, Ming‐Sound Tsao, Jane Bayani, Ni Liu, Catherine Luk, Hong Ouyang, Maria Zieleńska, András Nagy, Ben Beheshti and Jeffrey H. Lipton. Their work appears in journals such as Nature Genetics, Blood and Nature Immunology.
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.