David Thybert
Impact in
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Bioinformatics and Genomic Networks
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics and Phylogenetic Studies 9
- Molecular Biology Techniques and Applications 4
- RNA and protein synthesis mechanisms 4
- Genomics and Chromatin Dynamics 3
- Bioinformatics and Genomic Networks 3
- Machine Learning in Bioinformatics 2
- Genetics 6
- Genetic Mapping and Diversity in Plants and Animals 4
- Co-authors
- Paul Flicek (7 shared papers)John C. Marioni (3 shared papers)Duncan T. Odom (5 shared papers)Mélanie A. Eckersley-Maslin (1 shared paper)Jan H. Bergmann (1 shared paper)David L. Spector (1 shared paper)Michael D. Wilson (2 shared papers)Alvis Brāzma (1 shared paper)
- Journals
- Nucleic Acids Research (5 papers)BMC Genomics (2 papers)Nature Communications (2 papers)Developmental Cell (2 papers)Cell (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
David Thybert
20 papers receiving 3.7k citations
David Thybert's Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 2.2k
- Cancer Research 446
- Genetics 824
- Aging 43
- Immunology 295
Countries citing papers authored by David Thybert
This map shows the geographic impact of David Thybert'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 David Thybert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Thybert more than expected).
Fields of papers citing papers by David Thybert
This network shows the impact of papers produced by David Thybert. 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 David Thybert. The network helps show where David Thybert may publish in the future.
Co-authors
The 25 scholars most cited alongside David Thybert, 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 | Ensembl 2022 Hit paper breakdown → | 2021 | 1277 |
| 2 | Ensembl 2021 Hit paper breakdown → | 2020 | 1133 |
| 3 | Ensembl 2023 Hit paper breakdown → | 2022 | 645 |
| 4 | 2018 | 159 | |
| 5 | 2013 | 115 | |
| 6 | 2014 | 97 | |
| 7 | 2012 | 51 | |
| 8 | 2022 | 49 | |
| 9 | 2017 | 45 | |
| 10 | 2011 | 37 | |
| 11 | 2021 | 33 | |
| 12 | 2020 | 20 | |
| 13 | 2020 | 19 | |
| 14 | 2011 | 18 | |
| 15 | 2016 | 18 | |
| 16 | 2024 | 16 | |
| 17 | 2021 | 8 | |
| 18 | 2008 | 7 | |
| 19 | 2017 | 3 | |
| 20 | 2019 | 1 |
About David Thybert
David Thybert is a scholar working on Molecular Biology, Genetics, Plant Science, Biophysics and Rehabilitation, having authored 20 papers that have together received 3.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Chromosomal and Genetic Variations (5 papers), Molecular Biology Techniques and Applications (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (3 papers), Bioinformatics and Genomic Networks (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Cancer Research (446 citations), Genetics (824 citations), Aging (43 citations) and Immunology (295 citations). David Thybert has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Paul Flicek, John C. Marioni, Duncan T. Odom, Mélanie A. Eckersley-Maslin, Jan H. Bergmann, David L. Spector, Michael D. Wilson, Alvis Brāzma, Klara Stefflova and Iannis Talianidis. Their work appears in journals such as Nucleic Acids Research, BMC Genomics, Nature Communications, Developmental Cell and Cell.
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.