Susanna Cotecchia
- Molecular Biology top 0.5%
- Cellular and Molecular Neuroscience top 0.1%
- Physiology top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Animal Science and Zoology top 0.5%
- Co-authors
- Robert J. LefkowitzTommaso CostaPhilippe SamamaMarc G. CaronM G CaronDario DivianiFrancesca FanelliAlexander Scheer
- Topics
- Receptor Mechanisms and Signaling (106 papers)Neuropeptides and Animal Physiology (48 papers)Neuroscience and Neuropharmacology Research (24 papers)
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Susanna Cotecchia
135 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 9.4k
- Cellular and Molecular Neuroscience 6.3k
- Physiology 1.4k
- Cardiology and Cardiovascular Medicine 881
- Animal Science and Zoology 808
Countries citing papers authored by Susanna Cotecchia
This map shows the geographic impact of Susanna Cotecchia'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 Susanna Cotecchia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanna Cotecchia more than expected).
Fields of papers citing papers by Susanna Cotecchia
This network shows the impact of papers produced by Susanna Cotecchia. 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 Susanna Cotecchia. The network helps show where Susanna Cotecchia may publish in the future.
Co-authorship network of co-authors of Susanna Cotecchia
This figure shows the co-authorship network connecting the top 25 collaborators of Susanna Cotecchia. A scholar is included among the top collaborators of Susanna Cotecchia 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 Susanna Cotecchia. Susanna Cotecchia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 10 | |
| 3 | 46 | |
| 4 | 38 | |
| 5 | 12 | |
| 6 | 150 | |
| 7 | 61 | |
| 8 | 71 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | Low frequency electrical field stimulation elicits responses in segments of mouse tail artery which are slower in alpha1B-knockout mice than in control mice | 4 |
| 12 | 37 | |
| 13 | 87 | |
| 14 | Role of receptor phosphorylation in desensitization of G protein-coupled receptors linked to the activation of phospholipase C | 2 |
| 15 | 71 | |
| 16 | 13 | |
| 17 | 172 | |
| 18 | 64 | |
| 19 | 24 | |
| 20 | 14 |
About Susanna Cotecchia
Susanna Cotecchia is a scholar working on Cellular and Molecular Neuroscience, Animal Science and Zoology and Molecular Biology, having authored 137 papers that have together received 11.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (106 papers), Neuropeptides and Animal Physiology (48 papers) and Neuroscience and Neuropharmacology Research (24 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (6.3k citations), Molecular Biology (9.4k citations) and Endocrine and Autonomic Systems (542 citations). Susanna Cotecchia has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Robert J. Lefkowitz, Tommaso Costa, Philippe Samama, Marc G. Caron, M G Caron, Dario Diviani, Francesca Fanelli, Alexander Scheer, R.J. Lefkowitz and Jon W. Lomasney. Their work appears in journals such as Science, 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.