Claudia Carrieri
- Cancer Research top 1%
- Cancer-related molecular mechanisms research 7
- Molecular Biology top 5%
- RNA Research and Splicing 6
- RNA modifications and cancer 4
- CRISPR and Genetic Engineering 4
- Advanced biosensing and bioanalysis techniques 2
- RNA regulation and disease 1
- Endocrinology top 10%
- Sensory Systems top 10%
- Reproductive Medicine top 10%
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- Chromosomal and Genetic Variations 5
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- Reproductive Biology and Fertility 1
- Co-authors
- Stefano GustincichS. ZucchelliPiero CarninciClaudio SantoroDónal O’CarrollAlistair R. R. ForrestAnton J. EnrightLaura Cimatti
- Journals
- Nature (1 paper)Journal of Clinical Investigation (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- ItalyUnited KingdomGermany
In The Last Decade
Claudia Carrieri
14 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Cancer Research 1.1k
- Molecular Biology 1.6k
- Endocrinology 50
- Sensory Systems 37
- Reproductive Medicine 56
Countries citing papers authored by Claudia Carrieri
This map shows the geographic impact of Claudia Carrieri'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 Claudia Carrieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Carrieri more than expected).
Fields of papers citing papers by Claudia Carrieri
This network shows the impact of papers produced by Claudia Carrieri. 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 Claudia Carrieri. The network helps show where Claudia Carrieri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Claudia Carrieri, 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 | 2018 | 60 | |
| 2 | 2018 | 129 | |
| 3 | 2018 | 25 | |
| 4 | 2017 | 52 | |
| 5 | 2017 | 16 | |
| 6 | 2017 | 18 | |
| 7 | 2017 | 33 | |
| 8 | 2017 | 286 | |
| 9 | 2015 | 106 | |
| 10 | 2015 | 63 | |
| 11 | 2013 | 154 | |
| 12 | 2013 | 59 | |
| 13 | Long non-coding antisense RNA controls Uchl1 translation through an embedded SINEB2 repeatbreakdown → | 2012 | 783 |
| 14 | 2011 | 48 |
About Claudia Carrieri
Claudia Carrieri is a scholar working on Cancer Research, Developmental Neuroscience and Sensory Systems, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), RNA Research and Splicing (6 papers), Chromosomal and Genetic Variations (5 papers), RNA modifications and cancer (4 papers), CRISPR and Genetic Engineering (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA regulation and disease (1 paper) and Reproductive Biology and Fertility (1 paper). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (1.6k citations) and Endocrinology (50 citations). Claudia Carrieri has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Stefano Gustincich, S. Zucchelli, Piero Carninci, Claudio Santoro, Dónal O’Carroll, Alistair R. R. Forrest, Anton J. Enright, Laura Cimatti, Stefano Biffo and Stefania Fedele. Their work appears in journals such as Nature, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.