Giulia Vargiu
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- DNA Repair Mechanisms
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- RNA and protein synthesis mechanisms
Papers in
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- Genomics and Chromatin Dynamics 5
- RNA and protein synthesis mechanisms 2
- Ubiquitin and proteasome pathways 2
- Glycosylation and Glycoproteins Research 1
- Epigenetics and DNA Methylation 1
- Protein Degradation and Inhibitors 1
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- Microtubule and mitosis dynamics 5
- Co-authors
- William C. Earnshaw (9 shared papers)Kumiko Samejima (5 shared papers)Paola Vagnarelli (3 shared papers)Daniel G. Booth (5 shared papers)Hiromi Ogawa (2 shared papers)Òscar Molina (2 shared papers)Chris P. Ponting (2 shared papers)E Petfalski (1 shared paper)
- Journals
- Frontiers in Oncology (2 papers)Nature Communications (1 paper)Developmental Cell (1 paper)Molecular Biology of the Cell (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United KingdomJapanItaly
In The Last Decade
Giulia Vargiu
11 papers receiving 592 citations
Peers
Comparison fields: 5 of 59
- Cell Biology 230
- Molecular Biology 500
- Plant Science 202
- Structural Biology 3
- Oncology 42
Countries citing papers authored by Giulia Vargiu
This map shows the geographic impact of Giulia Vargiu'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 Giulia Vargiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Vargiu more than expected).
Fields of papers citing papers by Giulia Vargiu
This network shows the impact of papers produced by Giulia Vargiu. 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 Giulia Vargiu. The network helps show where Giulia Vargiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Vargiu, 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 | 2014 | 156 | |
| 2 | 2012 | 143 | |
| 3 | 2014 | 90 | |
| 4 | 2016 | 68 | |
| 5 | 2015 | 54 | |
| 6 | 2011 | 24 | |
| 7 | 2016 | 19 | |
| 8 | 2019 | 17 | |
| 9 | 2017 | 14 | |
| 10 | 2020 | 8 | |
| 11 | 2014 | 1 | |
| 12 | 2024 | 0 |
About Giulia Vargiu
Giulia Vargiu is a scholar working on Molecular Biology, Cell Biology, Plant Science, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 12 papers that have together received 594 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (5 papers), Genomics and Chromatin Dynamics (5 papers), Chromosomal and Genetic Variations (3 papers), RNA and protein synthesis mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers), Glycosylation and Glycoproteins Research (1 paper), Epigenetics and DNA Methylation (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Cell Biology (230 citations), Molecular Biology (500 citations), Plant Science (202 citations), Structural Biology (3 citations) and Oncology (42 citations). Giulia Vargiu has collaborated with scholars based in United Kingdom, Japan and Italy. Frequent co-authors include William C. Earnshaw, Kumiko Samejima, Paola Vagnarelli, Daniel G. Booth, Hiromi Ogawa, Òscar Molina, Chris P. Ponting, E Petfalski, David Tollervey and Masatoshi Takagi. Their work appears in journals such as Frontiers in Oncology, Nature Communications, Developmental Cell, Molecular Biology of the Cell and Journal of Biological Chemistry.
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.