Giulia Vecchi
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Fungal and yeast genetics research 2
- Heat shock proteins research 1
- Pluripotent Stem Cells Research 1
- Prion Diseases and Protein Misfolding 1
-
- Endoplasmic Reticulum Stress and Disease 3
- Co-authors
- Michele Vendruscolo (8 shared papers)Christopher M. Dobson (6 shared papers)F. Ulrich Hartl (3 shared papers)Prajwal Ciryam (2 shared papers)Richard I. Morimoto (1 shared paper)Dirk Walther (1 shared paper)Stefan Pinkert (1 shared paper)Min Zheng (1 shared paper)
- Journals
- ACS Chemical Neuroscience (2 papers)Proceedings of the National Academy of Sciences (2 papers)Science and Technology of Nuclear Installations (1 paper)Cell Reports (1 paper)Nature Machine Intelligence (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Giulia Vecchi
11 papers receiving 861 citations
Peers
Comparison fields: 5 of 86
- Aging 235
- Cell Biology 181
- Physiology 262
- Biological Psychiatry 24
- Molecular Biology 516
Countries citing papers authored by Giulia Vecchi
This map shows the geographic impact of Giulia Vecchi'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 Vecchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Vecchi more than expected).
Fields of papers citing papers by Giulia Vecchi
This network shows the impact of papers produced by Giulia Vecchi. 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 Vecchi. The network helps show where Giulia Vecchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Vecchi, 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 | 2015 | 442 | |
| 2 | 2019 | 104 | |
| 3 | 2016 | 80 | |
| 4 | 2021 | 62 | |
| 5 | 2018 | 46 | |
| 6 | 2020 | 41 | |
| 7 | 2019 | 37 | |
| 8 | 2013 | 22 | |
| 9 | 2023 | 14 | |
| 10 | 2022 | 10 | |
| 11 | 2019 | 8 |
About Giulia Vecchi
Giulia Vecchi is a scholar working on Molecular Biology, Cell Biology, Aging, Cellular and Molecular Neuroscience and Physiology, having authored 11 papers that have together received 866 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Alzheimer's disease research and treatments (2 papers), Enzyme Structure and Function (2 papers), Fungal and yeast genetics research (2 papers), Heat shock proteins research (1 paper), Pluripotent Stem Cells Research (1 paper) and Prion Diseases and Protein Misfolding (1 paper). The work is most often cited by research in Aging (235 citations), Cell Biology (181 citations), Physiology (262 citations), Biological Psychiatry (24 citations) and Molecular Biology (516 citations). Giulia Vecchi has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Michele Vendruscolo, Christopher M. Dobson, F. Ulrich Hartl, Prajwal Ciryam, Richard I. Morimoto, Dirk Walther, Stefan Pinkert, Min Zheng, Matthias Mann and Prasad Kasturi. Their work appears in journals such as ACS Chemical Neuroscience, Proceedings of the National Academy of Sciences, Science and Technology of Nuclear Installations, Cell Reports and Nature Machine Intelligence.
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.