Matei David
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
Papers in
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- Genomics and Phylogenetic Studies 5
- RNA and protein synthesis mechanisms 3
- Glycosylation and Glycoproteins Research 1
- RNA modifications and cancer 1
- Epigenetics and DNA Methylation 1
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- Cancer-related molecular mechanisms research 1
- Cancer Genomics and Diagnostics 1
- Co-authors
- Jared T. Simpson (2 shared papers)Lewis Jonathan Dursi (2 shared papers)Rachael E. Workman (1 shared paper)Winston Timp (1 shared paper)Philip C. Zuzarte (1 shared paper)Michael Brudno (3 shared papers)Misko Dzamba (1 shared paper)Lucian Ionel Ilie (1 shared paper)
- Journals
- Bioinformatics (2 papers)Nature Methods (1 paper)Nature Biotechnology (1 paper)RNA (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Matei David
7 papers receiving 1.3k citations
Matei David's Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 277
- Molecular Biology 932
- Genetics 166
- Plant Science 158
- Ecology 82
Countries citing papers authored by Matei David
This map shows the geographic impact of Matei David'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 Matei David with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matei David more than expected).
Fields of papers citing papers by Matei David
This network shows the impact of papers produced by Matei David. 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 Matei David. The network helps show where Matei David may publish in the future.
Co-authors
The 20 scholars most cited alongside Matei David, 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 | Detecting DNA cytosine methylation using nanopore sequencing Hit paper breakdown → | 2017 | 745 |
| 2 | 2011 | 261 | |
| 3 | 2012 | 121 | |
| 4 | 2016 | 104 | |
| 5 | 2020 | 52 | |
| 6 | 2013 | 19 | |
| 7 | 2014 | 4 |
About Matei David
Matei David is a scholar working on Molecular Biology, Cancer Research, Plant Science, Pathology and Forensic Medicine and Biomedical Engineering, having authored 7 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (3 papers), Chromosomal and Genetic Variations (2 papers), Glycosylation and Glycoproteins Research (1 paper), RNA modifications and cancer (1 paper), Cancer-related molecular mechanisms research (1 paper), Cancer Genomics and Diagnostics (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (277 citations), Molecular Biology (932 citations), Genetics (166 citations), Plant Science (158 citations) and Ecology (82 citations). Matei David has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Jared T. Simpson, Lewis Jonathan Dursi, Rachael E. Workman, Winston Timp, Philip C. Zuzarte, Michael Brudno, Misko Dzamba, Lucian Ionel Ilie, Paul Christopher Boutros and Anna Moles. Their work appears in journals such as Bioinformatics, Nature Methods, Nature Biotechnology, RNA 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.