Stefano Costanzi
- Molecular Biology top 2%
- Physiology top 0.1%
- Cellular and Molecular Neuroscience top 2%
- Computational Theory and Mathematics top 0.5%
- Organic Chemistry top 5%
- Co-authors
- Kenneth A. JacobsonSantiago VilarRosaria VolpiniSauro VittoriGloria CristalliMarvin C. GershengornIrina G. TikhonovaSusanne Neumann
- Topics
- Receptor Mechanisms and Signaling (71 papers)Adenosine and Purinergic Signaling (50 papers)Neuropeptides and Animal Physiology (34 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Stefano Costanzi
142 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 134
- Molecular Biology 2.7k
- Physiology 1.2k
- Cellular and Molecular Neuroscience 1.0k
- Computational Theory and Mathematics 642
- Organic Chemistry 561
Countries citing papers authored by Stefano Costanzi
This map shows the geographic impact of Stefano Costanzi'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 Stefano Costanzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Costanzi more than expected).
Fields of papers citing papers by Stefano Costanzi
This network shows the impact of papers produced by Stefano Costanzi. 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 Stefano Costanzi. The network helps show where Stefano Costanzi may publish in the future.
Co-authorship network of co-authors of Stefano Costanzi
This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Costanzi. A scholar is included among the top collaborators of Stefano Costanzi 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 Stefano Costanzi. Stefano Costanzi 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 | 6 | |
| 3 | 1 | |
| 4 | Characterization of GPR101 transcripts structure, expression and signaling | 0 |
| 5 | 15 | |
| 6 | 0 | |
| 7 | 13 | |
| 8 | 7 | |
| 9 | 19 | |
| 10 | 28 | |
| 11 | 9 | |
| 12 | 37 | |
| 13 | 80 | |
| 14 | 44 | |
| 15 | 30 | |
| 16 | 46 | |
| 17 | 11 | |
| 18 | 2 | |
| 19 | 278 | |
| 20 | 3 |
About Stefano Costanzi
Stefano Costanzi is a scholar working on Physiology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics, having authored 148 papers that have together received 4.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (71 papers), Adenosine and Purinergic Signaling (50 papers) and Neuropeptides and Animal Physiology (34 papers). The work is most often cited by research in Physiology (1.2k citations), Cellular and Molecular Neuroscience (1.0k citations) and Computational Theory and Mathematics (642 citations). Stefano Costanzi has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Kenneth A. Jacobson, Santiago Vilar, Rosaria Volpini, Sauro Vittori, Gloria Cristalli, Marvin C. Gershengorn, Irina G. Tikhonova, Susanne Neumann, Catia Lambertucci and Bruce M. Raaka. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and PLoS ONE.
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.