Sonia Longhi
- Molecular Biology top 1%
- Epidemiology top 1%
- Materials Chemistry top 5%
- Infectious Diseases top 1%
- Virology top 0.5%
- Co-authors
- Bruno CanardVladimir N. UverskyJohnny HabchiChristian CambillauJean‐Marie BourhisFrançois FerrónDavid KarlinPéter Tompa
- Topics
- Virology and Viral Diseases (63 papers)Protein Structure and Dynamics (43 papers)Bacteriophages and microbial interactions (26 papers)
- Journals
- Chemical ReviewsProceedings of the National Academy of SciencesJournal of Biological Chemistry
- Partner nations
- FranceItalyUnited States
In The Last Decade
Sonia Longhi
154 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 4.6k
- Epidemiology 2.2k
- Materials Chemistry 1.3k
- Infectious Diseases 1.2k
- Virology 779
Countries citing papers authored by Sonia Longhi
This map shows the geographic impact of Sonia Longhi'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 Sonia Longhi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonia Longhi more than expected).
Fields of papers citing papers by Sonia Longhi
This network shows the impact of papers produced by Sonia Longhi. 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 Sonia Longhi. The network helps show where Sonia Longhi may publish in the future.
Co-authorship network of co-authors of Sonia Longhi
This figure shows the co-authorship network connecting the top 25 collaborators of Sonia Longhi. A scholar is included among the top collaborators of Sonia Longhi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sonia Longhi. Sonia Longhi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 18 | |
| 4 | 6 | |
| 5 | 14 | |
| 6 | 74 | |
| 7 | 29 | |
| 8 | 31 | |
| 9 | 19 | |
| 10 | 43 | |
| 11 | 14 | |
| 12 | 55 | |
| 13 | 5 | |
| 14 | 34 | |
| 15 | 42 | |
| 16 | 60 | |
| 17 | 3 | |
| 18 | Mécanismes de transcription et de réplication des Paramyxoviridae | 10 |
| 19 | Molecular cloning and bacterial expression of a general odorant-binding protein from the cabbage armyworm Mamestra brassicae | 1 |
| 20 | 118 |
About Sonia Longhi
Sonia Longhi is a scholar working on Virology, Epidemiology and Molecular Biology, having authored 155 papers that have together received 7.9k indexed citations. Recurring topics across this work include Virology and Viral Diseases (63 papers), Protein Structure and Dynamics (43 papers) and Bacteriophages and microbial interactions (26 papers). The work is most often cited by research in Virology (779 citations), Molecular Biology (4.6k citations) and Infectious Diseases (1.2k citations). Sonia Longhi has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Bruno Canard, Vladimir N. Uversky, Johnny Habchi, Christian Cambillau, Jean‐Marie Bourhis, François Ferrón, David Karlin, Péter Tompa, Véronique Receveur‐Brechot and Rita Grandori. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.