Ermira Samara-Kuko
- Molecular Biology top 10%
- Genetics top 5%
- Oncology
- Plant Science
- Immunology
- Co-authors
- Marinee ChuahThierry VandenDriesscheJanka MátraiAbel Acosta‐SanchezLing MaZoltán IvicsLajos MátésZsuzsanna Izsvák
- Topics
- Virus-based gene therapy research (8 papers)CRISPR and Genetic Engineering (8 papers)RNA Interference and Gene Delivery (4 papers)
- Cited by
- GeneticsMolecular BiologyOncology
- Partner nations
- BelgiumUnited KingdomGermany
In The Last Decade
Ermira Samara-Kuko
12 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Molecular Biology 868
- Genetics 502
- Oncology 198
- Plant Science 113
- Immunology 85
Countries citing papers authored by Ermira Samara-Kuko
This map shows the geographic impact of Ermira Samara-Kuko'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 Ermira Samara-Kuko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ermira Samara-Kuko more than expected).
Fields of papers citing papers by Ermira Samara-Kuko
This network shows the impact of papers produced by Ermira Samara-Kuko. 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 Ermira Samara-Kuko. The network helps show where Ermira Samara-Kuko may publish in the future.
Co-authorship network of co-authors of Ermira Samara-Kuko
This figure shows the co-authorship network connecting the top 25 collaborators of Ermira Samara-Kuko. A scholar is included among the top collaborators of Ermira Samara-Kuko 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 Ermira Samara-Kuko. Ermira Samara-Kuko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 45 | |
| 3 | 10 | |
| 4 | 43 | |
| 5 | 44 | |
| 6 | 18 | |
| 7 | 33 | |
| 8 | 111 | |
| 9 | Novel Hyperactive Transposons for Genetic Modification of Induced Pluripotent and Adult Stem Cells: A Non-Viral Paradigm for Coaxed Differentiation | 17 |
| 10 | 39 | |
| 11 | Sustained therapeutic factor IX expression in liver using integration-deficient lentiviral vectors. | 1 |
| 12 | Molecular evolution of a novel hyperactive Sleeping Beauty transposase enables robust stable gene transfer in vertebratesbreakdown → | 706 |
| 13 | Combinations of hepatocyte-specific transcription factor binding sites identified de novo using a novel bioinformatics algorithm yield robust liver-specific expression | 1 |
About Ermira Samara-Kuko
Ermira Samara-Kuko is a scholar working on Aging, Business and International Management and Genetics, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), CRISPR and Genetic Engineering (8 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Genetics (502 citations), Molecular Biology (868 citations) and Oncology (198 citations). Ermira Samara-Kuko has collaborated with scholars based in Belgium, United Kingdom and Germany. Frequent co-authors include Marinee Chuah, Thierry VandenDriessche, Janka Mátrai, Abel Acosta‐Sanchez, Ling Ma, Zoltán Ivics, Lajos Mátés, Zsuzsanna Izsvák, Eyayu Belay and Conny Gysemans. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Nature 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.