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
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
-
- Endoplasmic Reticulum Stress and Disease 3
- Co-authors
- Michele Vendruscolo (9 shared papers)Christopher Martin Dobson (7 shared papers)F. Ulrich Hartl (4 shared papers)Prajwal Ciryam (3 shared papers)Dirk M. Walther (2 shared papers)Stefan Pinkert (2 shared papers)Matthias Mann (2 shared papers)Prasad Kasturi (2 shared papers)
- Journals
- Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)ACS Chemical Neuroscience (2 papers)Science and Technology of Nuclear Installations (1 paper)Nature Machine Intelligence (1 paper)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Giulia Vecchi
12 papers receiving 931 citations
Peers
Comparison fields: 5 of 91
- Aging 248
- Cell Biology 192
- Physiology 282
- Biological Psychiatry 26
- Molecular Biology 548
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 | 457 | |
| 2 | 2019 | 107 | |
| 3 | 2016 | 80 | |
| 4 | 2021 | 67 | |
| 5 | 2018 | 49 | |
| 6 | 2020 | 46 | |
| 7 | 2019 | 40 | |
| 8 | 2013 | 27 | |
| 9 | 2017 | 27 | |
| 10 | 2023 | 16 | |
| 11 | 2022 | 14 | |
| 12 | 2019 | 8 |
About Giulia Vecchi
Giulia Vecchi is a scholar working on Aging, Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 12 papers that have together received 938 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Fungal and yeast genetics research (2 papers), Alzheimer's disease research and treatments (2 papers), Enzyme Structure and Function (2 papers), RNA Interference and Gene Delivery (1 paper), Tryptophan and brain disorders (1 paper) and Parkinson's Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Aging (248 citations), Cell Biology (192 citations), Physiology (282 citations), Biological Psychiatry (26 citations) and Molecular Biology (548 citations). Giulia Vecchi has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Michele Vendruscolo, Christopher Martin Dobson, F. Ulrich Hartl, Prajwal Ciryam, Dirk M. Walther, Stefan Pinkert, Matthias Mann, Prasad Kasturi, Richard I. Morimoto and Min Zheng. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences, ACS Chemical Neuroscience, Science and Technology of Nuclear Installations 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.