Lajos Mátés
- Molecular Biology top 5%
- Genetics top 2%
- Plant Science top 5%
- Oncology top 10%
- Immunology
- Co-authors
- Zoltán IvicsZsuzsanna IzsvákCsaba MiskeyJanka MátraiEyayu BelayMarinee ChuahThierry VandenDriesscheAbel Acosta‐Sanchez
- Topics
- CRISPR and Genetic Engineering (25 papers)Virus-based gene therapy research (13 papers)RNA Interference and Gene Delivery (11 papers)
- Cited by
- GeneticsMolecular BiologyOncology
- Partner nations
- HungaryGermanyUnited States
In The Last Decade
Lajos Mátés
36 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Molecular Biology 2.0k
- Genetics 1.1k
- Plant Science 398
- Oncology 326
- Immunology 130
Countries citing papers authored by Lajos Mátés
This map shows the geographic impact of Lajos Mátés'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 Lajos Mátés with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lajos Mátés more than expected).
Fields of papers citing papers by Lajos Mátés
This network shows the impact of papers produced by Lajos Mátés. 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 Lajos Mátés. The network helps show where Lajos Mátés may publish in the future.
Co-authorship network of co-authors of Lajos Mátés
This figure shows the co-authorship network connecting the top 25 collaborators of Lajos Mátés. A scholar is included among the top collaborators of Lajos Mátés 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 Lajos Mátés. Lajos Mátés is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 8 | |
| 5 | Transposon-based gene delivery vectors for gene therapy | 2 |
| 6 | 50 | |
| 7 | 24 | |
| 8 | 18 | |
| 9 | 73 | |
| 10 | 13 | |
| 11 | 92 | |
| 12 | 71 | |
| 13 | 183 | |
| 14 | Novel Hyperactive Transposons for Genetic Modification of Induced Pluripotent and Adult Stem Cells: A Non-Viral Paradigm for Coaxed Differentiation | 17 |
| 15 | Generation of transgenic pigs by Sleeping Beauty transposition in pig zygotes | 4 |
| 16 | Molecular evolution of a novel hyperactive Sleeping Beauty transposase enables robust stable gene transfer in vertebratesbreakdown → | 706 |
| 17 | 79 | |
| 18 | 231 | |
| 19 | 33 | |
| 20 | 14 |
About Lajos Mátés
Lajos Mátés is a scholar working on Genetics, Immunology and Allergy and Molecular Biology, having authored 37 papers that have together received 2.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (25 papers), Virus-based gene therapy research (13 papers) and RNA Interference and Gene Delivery (11 papers). The work is most often cited by research in Genetics (1.1k citations), Molecular Biology (2.0k citations) and Oncology (326 citations). Lajos Mátés has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Zoltán Ivics, Zsuzsanna Izsvák, Csaba Miskey, Janka Mátrai, Eyayu Belay, Marinee Chuah, Thierry VandenDriessche, Abel Acosta‐Sanchez, Ermira Samara-Kuko and Ling Ma. Their work appears in journals such as Nature Communications, 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.