Giulia Paiardi
Impact in
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- Proteoglycans and glycosaminoglycans research
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- Glycosylation and Glycoproteins Research 4
- Angiogenesis and VEGF in Cancer 2
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- Proteoglycans and glycosaminoglycans research 4
- Co-authors
- Marco Rusnati (8 shared papers)Chiara Urbinati (5 shared papers)Rebecca C. Wade (5 shared papers)Pasqua Oreste (1 shared paper)Stefan Richter (1 shared paper)Paola Chiodelli (4 shared papers)Pasqualina D’Ursi (4 shared papers)Antonella Bugatti (2 shared papers)
- Journals
- Scientific Reports (2 papers)Cancer Gene Therapy (1 paper)Journal of Biological Chemistry (1 paper)Future Medicinal Chemistry (1 paper)Molecules (1 paper)
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Giulia Paiardi
13 papers receiving 289 citations
Peers
Comparison fields: 5 of 84
- Cell Biology 82
- Infectious Diseases 41
- Internal Medicine 7
- Molecular Biology 148
- Immunology and Allergy 11
Countries citing papers authored by Giulia Paiardi
This map shows the geographic impact of Giulia Paiardi'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 Paiardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Paiardi more than expected).
Fields of papers citing papers by Giulia Paiardi
This network shows the impact of papers produced by Giulia Paiardi. 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 Paiardi. The network helps show where Giulia Paiardi may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Paiardi, 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 | 2023 | 79 | |
| 2 | 2021 | 65 | |
| 3 | 2018 | 34 | |
| 4 | 2019 | 27 | |
| 5 | 2019 | 16 | |
| 6 | 2018 | 16 | |
| 7 | 2021 | 13 | |
| 8 | 2019 | 9 | |
| 9 | 2024 | 8 | |
| 10 | 2016 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2024 | 2 |
About Giulia Paiardi
Giulia Paiardi is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Infectious Diseases and Organic Chemistry, having authored 13 papers that have together received 292 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Angiogenesis and VEGF in Cancer (2 papers), COVID-19 Clinical Research Studies (2 papers), Influenza Virus Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Carbohydrate Chemistry and Synthesis (2 papers) and Trypanosoma species research and implications (1 paper). The work is most often cited by research in Cell Biology (82 citations), Infectious Diseases (41 citations), Internal Medicine (7 citations), Molecular Biology (148 citations) and Immunology and Allergy (11 citations). Giulia Paiardi has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Marco Rusnati, Chiara Urbinati, Rebecca C. Wade, Pasqua Oreste, Stefan Richter, Paola Chiodelli, Pasqualina D’Ursi, Antonella Bugatti, Kevin Pagel and Maurizio Memo. Their work appears in journals such as Scientific Reports, Cancer Gene Therapy, Journal of Biological Chemistry, Future Medicinal Chemistry and Molecules.
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.