Giulia Calloni
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Heat shock proteins research
- RNA Research and Splicing
- RNA modifications and cancer
- Prion Diseases and Protein Misfolding
- Physiology top 5%
- Alzheimer's disease research and treatments
Papers in
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- Protein Structure and Dynamics 8
- RNA modifications and cancer 5
- RNA Research and Splicing 5
- RNA and protein synthesis mechanisms 4
- Heat shock proteins research 3
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- Enzyme Structure and Function 8
- Co-authors
- Fabrizio Chiti (8 shared papers)Massimo Stefani (3 shared papers)Gian Gaetano Tartaglia (6 shared papers)Christopher M. Dobson (3 shared papers)R. Martin Vabulas (12 shared papers)Lucia Formigli (1 shared paper)Daniele Nosi (1 shared paper)Monica Bucciantini (1 shared paper)
In The Last Decade
Giulia Calloni
21 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 1.1k
- Physiology 386
- Cell Biology 147
- Neurology 46
- Biomaterials 69
Countries citing papers authored by Giulia Calloni
This map shows the geographic impact of Giulia Calloni'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 Calloni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Calloni more than expected).
Fields of papers citing papers by Giulia Calloni
This network shows the impact of papers produced by Giulia Calloni. 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 Calloni. The network helps show where Giulia Calloni may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Calloni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 332 | |
| 2 | 2012 | 303 | |
| 3 | 2019 | 127 | |
| 4 | 2006 | 97 | |
| 5 | 2004 | 71 | |
| 6 | 2020 | 58 | |
| 7 | 2016 | 57 | |
| 8 | 2003 | 49 | |
| 9 | 2020 | 47 | |
| 10 | 2008 | 44 | |
| 11 | 2009 | 38 | |
| 12 | 2020 | 36 | |
| 13 | 2008 | 36 | |
| 14 | 2003 | 28 | |
| 15 | 2010 | 16 | |
| 16 | 2020 | 13 | |
| 17 | 2018 | 12 | |
| 18 | 2019 | 9 | |
| 19 | 2023 | 3 | |
| 20 | 2020 | 1 |
About Giulia Calloni
Giulia Calloni is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Physiology and Spectroscopy, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Enzyme Structure and Function (8 papers), Protein Structure and Dynamics (8 papers), Alzheimer's disease research and treatments (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (4 papers) and Heat shock proteins research (3 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Physiology (386 citations), Cell Biology (147 citations), Neurology (46 citations) and Biomaterials (69 citations). Giulia Calloni has collaborated with scholars based in Germany, Italy and Spain. Frequent co-authors include Fabrizio Chiti, Massimo Stefani, Gian Gaetano Tartaglia, Christopher M. Dobson, R. Martin Vabulas, Lucia Formigli, Daniele Nosi, Monica Bucciantini, Manajit Hayer‐Hartl and F. Ulrich Hartl. Their work appears in journals such as Journal of Molecular Biology, Journal of Proteome Research, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.