Matteo Pellegrini
- Molecular Biology top 0.05%
- Epigenetics and DNA Methylation 89
- RNA modifications and cancer 40
- Genomics and Chromatin Dynamics 26
- RNA and protein synthesis mechanisms 25
- Genomics and Phylogenetic Studies 24
- Photosynthetic Processes and Mechanisms 23
- Bioinformatics and Genomic Networks 22
- Aging top 0.5%
- Plant Science top 0.1%
- Plant Molecular Biology Research 30
- Genetics top 0.2%
- Co-authors
- Shawn CokusSteven E. JacobsenDavid EisenbergTodd O. YeatesEdward M. MarcotteXiaoyu ZhangSuhua FengMichael J. Thompson
- Cited by
- Molecular BiologyAgingPlant Science
- Journals
- PLoS ONE (13 papers)Proceedings of the National Academy of Sciences (13 papers)Scientific Reports (12 papers)
- Partner nations
- United StatesItalyChina
In The Last Decade
Matteo Pellegrini
395 papers receiving 28.7k citations
Hit Papers
Peers
Comparison fields: 5 of 204
- Molecular Biology 20.4k
- Aging 394
- Plant Science 7.3k
- Genetics 3.9k
- Renewable Energy, Sustainability and the Environment 2.1k
Countries citing papers authored by Matteo Pellegrini
This map shows the geographic impact of Matteo Pellegrini'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 Matteo Pellegrini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Pellegrini more than expected).
Fields of papers citing papers by Matteo Pellegrini
This network shows the impact of papers produced by Matteo Pellegrini. 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 Matteo Pellegrini. The network helps show where Matteo Pellegrini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matteo Pellegrini, 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 | 5 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 7 | |
| 5 | 2021 | 42 | |
| 6 | 2021 | 14 | |
| 7 | 2021 | 34 | |
| 8 | 2020 | 25 | |
| 9 | 2020 | 39 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 15 | |
| 12 | 2018 | 28 | |
| 13 | 2016 | 21 | |
| 14 | 2014 | 59 | |
| 15 | 2013 | 90 | |
| 16 | 2012 | 165 | |
| 17 | 2012 | 259 | |
| 18 | 2010 | 221 | |
| 19 | 2010 | 132 | |
| 20 | 1999 | 10 |
About Matteo Pellegrini
Matteo Pellegrini is a scholar working on Molecular Biology, Biological Psychiatry and Aging, having authored 414 papers that have together received 29.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (89 papers), RNA modifications and cancer (40 papers), Plant Molecular Biology Research (30 papers), Genomics and Chromatin Dynamics (26 papers), RNA and protein synthesis mechanisms (25 papers), Genomics and Phylogenetic Studies (24 papers), Photosynthetic Processes and Mechanisms (23 papers) and Bioinformatics and Genomic Networks (22 papers). The work is most often cited by research in Molecular Biology (20.4k citations), Aging (394 citations) and Plant Science (7.3k citations). Matteo Pellegrini has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Shawn Cokus, Steven E. Jacobsen, David Eisenberg, Todd O. Yeates, Edward M. Marcotte, Xiaoyu Zhang, Suhua Feng, Michael J. Thompson, Sabeeha Merchant and David Casero. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Scientific Reports, Epigenetics and The Plant 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.