Virginia De Cesare
- Endocrinology top 5%
- Molecular Medicine top 10%
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- Ubiquitin and proteasome pathways 13
- Protein Degradation and Inhibitors 3
- Glycosylation and Glycoproteins Research 2
- RNA and protein synthesis mechanisms 2
- vaccines and immunoinformatics approaches 1
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- Cancer-related Molecular Pathways 5
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- Autophagy in Disease and Therapy 5
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- Advanced Proteomics Techniques and Applications 3
- Co-authors
- Matthias TrostManman GuoSarah J. CoulthurstJuliana Alcoforado DinizFrancesca Romana CianfanelliYogesh KulathuAxel KnebelSatpal Virdee
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Molecular Cell (1 paper)PLoS ONE (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Virginia De Cesare
17 papers receiving 757 citations
Peers
Comparison fields: 5 of 76
- Endocrinology 131
- Molecular Medicine 64
- Molecular Biology 520
- Oncology 157
- Microbiology 24
Countries citing papers authored by Virginia De Cesare
This map shows the geographic impact of Virginia De Cesare'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 Virginia De Cesare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia De Cesare more than expected).
Fields of papers citing papers by Virginia De Cesare
This network shows the impact of papers produced by Virginia De Cesare. 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 Virginia De Cesare. The network helps show where Virginia De Cesare may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Virginia De Cesare, 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 | 17 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 51 | |
| 7 | 2021 | 54 | |
| 8 | 2020 | 30 | |
| 9 | 2020 | 34 | |
| 10 | 2018 | 17 | |
| 11 | 2018 | 49 | |
| 12 | 2018 | 138 | |
| 13 | 2017 | 49 | |
| 14 | 2016 | 150 | |
| 15 | 2016 | 60 | |
| 16 | 2014 | 79 | |
| 17 | 2013 | 15 |
About Virginia De Cesare
Virginia De Cesare is a scholar working on Oncology, Molecular Biology and Endocrinology, having authored 17 papers that have together received 760 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (13 papers), Autophagy in Disease and Therapy (5 papers), Cancer-related Molecular Pathways (5 papers), Advanced Proteomics Techniques and Applications (3 papers), Protein Degradation and Inhibitors (3 papers), Glycosylation and Glycoproteins Research (2 papers), RNA and protein synthesis mechanisms (2 papers) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Endocrinology (131 citations), Molecular Medicine (64 citations) and Molecular Biology (520 citations). Virginia De Cesare has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Matthias Trost, Manman Guo, Sarah J. Coulthurst, Juliana Alcoforado Diniz, Francesca Romana Cianfanelli, Yogesh Kulathu, Axel Knebel, Satpal Virdee, S. Matthews and S.A. Abdul Rehman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell and PLoS ONE.
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.