Janka Mátrai
- Molecular Biology top 10%
- Genetics top 2%
- Oncology top 10%
- Plant Science top 10%
- Immunology
- Co-authors
- Marinee ChuahThierry VandenDriesscheEyayu BelayZoltán IvicsLajos MátésZsuzsanna IzsvákErmira Samara-KukoAbel Acosta‐Sanchez
- Topics
- CRISPR and Genetic Engineering (9 papers)Virus-based gene therapy research (8 papers)Pluripotent Stem Cells Research (4 papers)
- Cited by
- GeneticsMolecular BiologyOncology
In The Last Decade
Janka Mátrai
21 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Molecular Biology 1.3k
- Genetics 762
- Oncology 266
- Plant Science 216
- Immunology 98
Countries citing papers authored by Janka Mátrai
This map shows the geographic impact of Janka Mátrai'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 Janka Mátrai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janka Mátrai more than expected).
Fields of papers citing papers by Janka Mátrai
This network shows the impact of papers produced by Janka Mátrai. 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 Janka Mátrai. The network helps show where Janka Mátrai may publish in the future.
Co-authorship network of co-authors of Janka Mátrai
This figure shows the co-authorship network connecting the top 25 collaborators of Janka Mátrai. A scholar is included among the top collaborators of Janka Mátrai 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 Janka Mátrai. Janka Mátrai 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 | 33 | |
| 3 | 53 | |
| 4 | 36 | |
| 5 | 0 | |
| 6 | 111 | |
| 7 | Integration-defective lentiviral vectors for hemophilia: a safer platform for immune tolerance inducation and reduced genotoxicity | 1 |
| 8 | 183 | |
| 9 | Novel Hyperactive Transposons for Genetic Modification of Induced Pluripotent and Adult Stem Cells: A Non-Viral Paradigm for Coaxed Differentiation | 17 |
| 10 | 22 | |
| 11 | 39 | |
| 12 | 246 | |
| 13 | Sustained therapeutic factor IX expression in liver using integration-deficient lentiviral vectors. | 1 |
| 14 | Molecular evolution of a novel hyperactive Sleeping Beauty transposase enables robust stable gene transfer in vertebratesbreakdown → | 706 |
| 15 | Combinations of hepatocyte-specific transcription factor binding sites identified de novo using a novel bioinformatics algorithm yield robust liver-specific expression | 1 |
| 16 | 5 | |
| 17 | 19 | |
| 18 | 11 | |
| 19 | 8 | |
| 20 | 3 |
About Janka Mátrai
Janka Mátrai is a scholar working on Genetics, Molecular Biology and Hematology, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Virus-based gene therapy research (8 papers) and Pluripotent Stem Cells Research (4 papers). The work is most often cited by research in Genetics (762 citations), Molecular Biology (1.3k citations) and Oncology (266 citations). Janka Mátrai has collaborated with scholars based in Belgium, Hungary and Germany. Frequent co-authors include Marinee Chuah, Thierry VandenDriessche, Eyayu Belay, Zoltán Ivics, Lajos Mátés, Zsuzsanna Izsvák, Ermira Samara-Kuko, Abel Acosta‐Sanchez, Ling Ma and Conny Gysemans. Their work appears in journals such as The Journal of Chemical Physics, Nature Genetics and Blood.
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.