Paul Bertone
- Molecular Biology top 0.2%
- Genomics and Chromatin Dynamics 21
- Pluripotent Stem Cells Research 16
- CRISPR and Genetic Engineering 13
- Gene expression and cancer classification 10
- Genomics and Phylogenetic Studies 9
- RNA and protein synthesis mechanisms 6
- RNA Research and Splicing 6
- Cancer Research top 0.5%
- Aging top 2%
- Genetics top 2%
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- Advanced Proteomics Techniques and Applications 5
- Co-authors
- M SnyderMark GersteinAustin SmithHeidi DvingeJennifer NicholsRemco LoosPerry L. MillerAntonio Casamayor
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Paul Bertone
67 papers receiving 11.8k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Molecular Biology 10.4k
- Cancer Research 1.9k
- Aging 131
- Genetics 1.1k
- Radiology, Nuclear Medicine and Imaging 788
Countries citing papers authored by Paul Bertone
This map shows the geographic impact of Paul Bertone'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 Paul Bertone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Bertone more than expected).
Fields of papers citing papers by Paul Bertone
This network shows the impact of papers produced by Paul Bertone. 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 Paul Bertone. The network helps show where Paul Bertone may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul Bertone, 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 | 2023 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2021 | 35 | |
| 4 | 2021 | 13 | |
| 5 | 2018 | 142 | |
| 6 | 2018 | 142 | |
| 7 | 2018 | 57 | |
| 8 | 2017 | 196 | |
| 9 | The ability of inner-cell-mass cells to self-renew as embryonic stem cells is acquired following epiblast specificationbreakdown → | 2014 | 332 |
| 10 | 2013 | 39 | |
| 11 | Towards practical, high-capacity, low-maintenance information storage in synthesized DNAbreakdown → | 2013 | 738 |
| 12 | 2013 | 341 | |
| 13 | Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expressionbreakdown → | 2010 | 542 |
| 14 | 2008 | 187 | |
| 15 | 2005 | 138 | |
| 16 | 2004 | 140 | |
| 17 | 2002 | 14 | |
| 18 | 2002 | 212 | |
| 19 | 2002 | 154 | |
| 20 | 2001 | 26 |
About Paul Bertone
Paul Bertone is a scholar working on Developmental Neuroscience, Molecular Biology and Genetics, having authored 68 papers that have together received 12.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (21 papers), Pluripotent Stem Cells Research (16 papers), CRISPR and Genetic Engineering (13 papers), Gene expression and cancer classification (10 papers), Genomics and Phylogenetic Studies (9 papers), RNA and protein synthesis mechanisms (6 papers), RNA Research and Splicing (6 papers) and Advanced Proteomics Techniques and Applications (5 papers). The work is most often cited by research in Molecular Biology (10.4k citations), Cancer Research (1.9k citations) and Aging (131 citations). Paul Bertone has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include M Snyder, Mark Gerstein, Austin Smith, Heidi Dvinge, Jennifer Nichols, Remco Loos, Perry L. Miller, Antonio Casamayor, Heng Zhu and Nicholas M. Luscombe. Their work appears in journals such as Genes & Development, Development, Genome Research, Nature 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.