Berta Pozzi
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
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- RNA Research and Splicing
- PI3K/AKT/mTOR signaling in cancer
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
Papers in
-
- RNA Research and Splicing 10
- Ubiquitin and proteasome pathways 3
- Genomics and Chromatin Dynamics 3
- PI3K/AKT/mTOR signaling in cancer 2
- Nuclear Structure and Function 1
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- Cancer, Hypoxia, and Metabolism 1
- Co-authors
- Anabella Srebrow (11 shared papers)Guillermo J. Risso (6 shared papers)Pablo Mammi (7 shared papers)Matı́as Blaustein (2 shared papers)Federico Pelisch (3 shared papers)Andrea Vanesa Gamarnik (2 shared papers)Néstor Gabriel Iglesias (2 shared papers)Leopoldo G. Gebhard (2 shared papers)
- Journals
- Nucleic Acids Research (6 papers)Biochemical Journal (1 paper)RNA Biology (1 paper)PLoS Pathogens (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- ArgentinaUnited StatesSwitzerland
In The Last Decade
Berta Pozzi
16 papers receiving 1.1k citations
Berta Pozzi's Hit Papers
Peers
Comparison fields: 5 of 80
- Infectious Diseases 378
- Molecular Biology 418
- Cancer Research 60
- Drug Discovery 1
- Public Health, Environmental and Occupational Health 114
Countries citing papers authored by Berta Pozzi
This map shows the geographic impact of Berta Pozzi'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 Berta Pozzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Berta Pozzi more than expected).
Fields of papers citing papers by Berta Pozzi
This network shows the impact of papers produced by Berta Pozzi. 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 Berta Pozzi. The network helps show where Berta Pozzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Berta Pozzi, 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 | SARS-CoV-2 spike D614G change enhances replication and transmission Hit paper breakdown → | 2021 | 421 |
| 2 | 2016 | 162 | |
| 3 | 2015 | 152 | |
| 4 | 2014 | 78 | |
| 5 | 2012 | 67 | |
| 6 | 2020 | 58 | |
| 7 | 2017 | 38 | |
| 8 | 2013 | 35 | |
| 9 | 2012 | 29 | |
| 10 | 2018 | 22 | |
| 11 | 2016 | 12 | |
| 12 | 2022 | 9 | |
| 13 | 2020 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 1 | |
| 17 | 2026 | 0 |
About Berta Pozzi
Berta Pozzi is a scholar working on Molecular Biology, Cancer Research, Biophysics, Epidemiology and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), Ubiquitin and proteasome pathways (3 papers), Genomics and Chromatin Dynamics (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Mosquito-borne diseases and control (2 papers), Trypanosoma species research and implications (2 papers), Cancer, Hypoxia, and Metabolism (1 paper) and Nuclear Structure and Function (1 paper). The work is most often cited by research in Infectious Diseases (378 citations), Molecular Biology (418 citations), Cancer Research (60 citations), Drug Discovery (1 citation) and Public Health, Environmental and Occupational Health (114 citations). Berta Pozzi has collaborated with scholars based in Argentina, United States and Switzerland. Frequent co-authors include Anabella Srebrow, Guillermo J. Risso, Pablo Mammi, Matı́as Blaustein, Federico Pelisch, Andrea Vanesa Gamarnik, Néstor Gabriel Iglesias, Leopoldo G. Gebhard, Manuel Javier Muñoz and Estefanía Mancini. Their work appears in journals such as Nucleic Acids Research, Biochemical Journal, RNA Biology, PLoS Pathogens and The Journal of Cell Biology.
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.