Làszlò Tora
- Molecular Biology top 0.2%
- Genomics and Chromatin Dynamics 115
- RNA Research and Splicing 71
- RNA modifications and cancer 37
- Epigenetics and DNA Methylation 26
- Protein Degradation and Inhibitors 21
- Ubiquitin and proteasome pathways 16
- CRISPR and Genetic Engineering 14
- DNA Repair Mechanisms 13
- Genetics top 0.1%
- Cancer Research top 1%
- Reproductive Medicine top 1%
- Co-authors
- Pierre ChambonElisabeth ScheerHinrich GronemeyerBernard TurcotteYves LutzDidier DevysChristel BrouIrwin Davidson
- Journals
- Molecular and Cellular Biology (25 papers)The EMBO Journal (16 papers)Journal of Biological Chemistry (14 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Làszlò Tora
185 papers receiving 16.8k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Molecular Biology 13.7k
- Genetics 4.8k
- Cellular and Molecular Neuroscience 1.4k
- Cancer Research 1.2k
- Reproductive Medicine 653
Countries citing papers authored by Làszlò Tora
This map shows the geographic impact of Làszlò Tora'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 Làszlò Tora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Làszlò Tora more than expected).
Fields of papers citing papers by Làszlò Tora
This network shows the impact of papers produced by Làszlò Tora. 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 Làszlò Tora. The network helps show where Làszlò Tora may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Làszlò Tora, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 10 | |
| 5 | 2021 | 16 | |
| 6 | 2020 | 23 | |
| 7 | 2019 | 209 | |
| 8 | 2017 | 15 | |
| 9 | 2017 | 103 | |
| 10 | 2017 | 19 | |
| 11 | 2008 | 290 | |
| 12 | 2008 | 24 | |
| 13 | 2004 | 214 | |
| 14 | 2003 | 49 | |
| 15 | 2002 | 75 | |
| 16 | 2001 | 61 | |
| 17 | 1999 | 160 | |
| 18 | 1998 | 219 | |
| 19 | 1994 | 7 | |
| 20 | 1987 | 1 |
About Làszlò Tora
Làszlò Tora is a scholar working on Molecular Biology, Genetics, Biophysics, Cancer Research and Aging, having authored 186 papers that have together received 17.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (115 papers), RNA Research and Splicing (71 papers), RNA modifications and cancer (37 papers), Epigenetics and DNA Methylation (26 papers), Protein Degradation and Inhibitors (21 papers), Ubiquitin and proteasome pathways (16 papers), CRISPR and Genetic Engineering (14 papers) and DNA Repair Mechanisms (13 papers). The work is most often cited by research in Molecular Biology (13.7k citations), Genetics (4.8k citations), Cellular and Molecular Neuroscience (1.4k citations), Cancer Research (1.2k citations) and Reproductive Medicine (653 citations). Làszlò Tora has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Pierre Chambon, Elisabeth Scheer, Hinrich Gronemeyer, Bernard Turcotte, Yves Lutz, Didier Devys, Christel Brou, Irwin Davidson, Anne Helmrich and Monica Ballarino. Their work appears in journals such as Molecular and Cellular Biology, The EMBO Journal, Journal of Biological Chemistry, Molecular Cell and Nucleic Acids Research.
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.