Severo Salvadori
- Molecular Biology top 0.5%
- Cellular and Molecular Neuroscience top 0.1%
- Physiology top 0.5%
- Reproductive Medicine top 0.5%
- Organic Chemistry top 5%
- Co-authors
- Remo GuerriniGirolamo CalòD. RegoliAnna RizziGianfranco BalboniRoberto TomatisPiero Andrea TemussiLawrence H. Lazarus
- Topics
- Neuropeptides and Animal Physiology (239 papers)Receptor Mechanisms and Signaling (156 papers)Chemical Synthesis and Analysis (84 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Severo Salvadori
320 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 6.8k
- Cellular and Molecular Neuroscience 6.6k
- Physiology 2.4k
- Reproductive Medicine 819
- Organic Chemistry 601
Countries citing papers authored by Severo Salvadori
This map shows the geographic impact of Severo Salvadori'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 Severo Salvadori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Severo Salvadori more than expected).
Fields of papers citing papers by Severo Salvadori
This network shows the impact of papers produced by Severo Salvadori. 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 Severo Salvadori. The network helps show where Severo Salvadori may publish in the future.
Co-authorship network of co-authors of Severo Salvadori
This figure shows the co-authorship network connecting the top 25 collaborators of Severo Salvadori. A scholar is included among the top collaborators of Severo Salvadori 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 Severo Salvadori. Severo Salvadori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 17 | |
| 3 | 6 | |
| 4 | 59 | |
| 5 | 7 | |
| 6 | 28 | |
| 7 | 15 | |
| 8 | 10 | |
| 9 | 12 | |
| 10 | 98 | |
| 11 | 28 | |
| 12 | 89 | |
| 13 | 14 | |
| 14 | 18 | |
| 15 | 18 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | 13 | |
| 20 | 2 |
About Severo Salvadori
Severo Salvadori is a scholar working on Cellular and Molecular Neuroscience, Reproductive Medicine and Molecular Biology, having authored 326 papers that have together received 9.7k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (239 papers), Receptor Mechanisms and Signaling (156 papers) and Chemical Synthesis and Analysis (84 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (6.6k citations), Molecular Biology (6.8k citations) and Reproductive Medicine (819 citations). Severo Salvadori has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Remo Guerrini, Girolamo Calò, D. Regoli, Anna Rizzi, Gianfranco Balboni, Roberto Tomatis, Piero Andrea Temussi, Lawrence H. Lazarus, Sharon D. Bryant and Clementina Bianchi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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.