Tamás Schauer
Impact in
- Aging top 5%
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
- DNA Repair Mechanisms
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
Papers in
-
- Genomics and Chromatin Dynamics 23
- RNA Research and Splicing 13
- DNA Repair Mechanisms 8
- RNA modifications and cancer 6
- CRISPR and Genetic Engineering 6
- Epigenetics and DNA Methylation 5
- RNA and protein synthesis mechanisms 4
-
- Chromosomal and Genetic Variations 8
- Co-authors
- Peter B. Becker (11 shared papers)Tobias Straub (6 shared papers)Andreas G. Ladurner (5 shared papers)Maria‐Elena Torres‐Padilla (7 shared papers)Raffaella Villa (2 shared papers)Carla Margulies (3 shared papers)Catherine Regnard (4 shared papers)Kim L. de Luca (1 shared paper)
- Journals
- Nucleic Acids Research (5 papers)Cell Reports (4 papers)Molecular Cell (3 papers)Nature (3 papers)EMBO Reports (3 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Tamás Schauer
34 papers receiving 777 citations
Peers
Comparison fields: 5 of 58
- Aging 43
- Molecular Biology 650
- Geriatrics and Gerontology 15
- Genetics 100
- Cancer Research 44
Countries citing papers authored by Tamás Schauer
This map shows the geographic impact of Tamás Schauer'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 Tamás Schauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamás Schauer more than expected).
Fields of papers citing papers by Tamás Schauer
This network shows the impact of papers produced by Tamás Schauer. 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 Tamás Schauer. The network helps show where Tamás Schauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamás Schauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 105 | |
| 2 | 2019 | 104 | |
| 3 | 2020 | 83 | |
| 4 | 2016 | 55 | |
| 5 | 2015 | 36 | |
| 6 | 2019 | 33 | |
| 7 | 2023 | 33 | |
| 8 | 2017 | 29 | |
| 9 | 2021 | 26 | |
| 10 | 2013 | 25 | |
| 11 | 2021 | 24 | |
| 12 | 2018 | 21 | |
| 13 | 2020 | 19 | |
| 14 | 2020 | 19 | |
| 15 | 2024 | 15 | |
| 16 | 2022 | 15 | |
| 17 | 2009 | 15 | |
| 18 | 2019 | 14 | |
| 19 | 2023 | 12 | |
| 20 | 2020 | 12 |
About Tamás Schauer
Tamás Schauer is a scholar working on Molecular Biology, Plant Science, Genetics, Oncology and Cell Biology, having authored 37 papers that have together received 782 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (23 papers), RNA Research and Splicing (13 papers), DNA Repair Mechanisms (8 papers), Chromosomal and Genetic Variations (8 papers), RNA modifications and cancer (6 papers), CRISPR and Genetic Engineering (6 papers), Epigenetics and DNA Methylation (5 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Aging (43 citations), Molecular Biology (650 citations), Geriatrics and Gerontology (15 citations), Genetics (100 citations) and Cancer Research (44 citations). Tamás Schauer has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Peter B. Becker, Tobias Straub, Andreas G. Ladurner, Maria‐Elena Torres‐Padilla, Raffaella Villa, Carla Margulies, Catherine Regnard, Kim L. de Luca, Jop Kind and Elias R. Ruiz-Morales. Their work appears in journals such as Nucleic Acids Research, Cell Reports, Molecular Cell, Nature and EMBO Reports.
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.