Serena Stopponi
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Pharmacology top 5%
- Physiology top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Roberto CiccocioppoMarsida KallupiNazzareno CannellaMassimo UbaldiAndrea CippitelliMarkus HeiligMaurizio MassiFriedbert Weiss
- Topics
- Receptor Mechanisms and Signaling (11 papers)Neurotransmitter Receptor Influence on Behavior (10 papers)Neuropeptides and Animal Physiology (10 papers)
- Partner nations
- ItalyUnited StatesAustria
In The Last Decade
Serena Stopponi
26 papers receiving 923 citations
Peers
Comparison fields: 5 of 58
- Cellular and Molecular Neuroscience 623
- Molecular Biology 344
- Pharmacology 203
- Physiology 195
- Cognitive Neuroscience 190
Countries citing papers authored by Serena Stopponi
This map shows the geographic impact of Serena Stopponi'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 Serena Stopponi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serena Stopponi more than expected).
Fields of papers citing papers by Serena Stopponi
This network shows the impact of papers produced by Serena Stopponi. 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 Serena Stopponi. The network helps show where Serena Stopponi may publish in the future.
Co-authorship network of co-authors of Serena Stopponi
This figure shows the co-authorship network connecting the top 25 collaborators of Serena Stopponi. A scholar is included among the top collaborators of Serena Stopponi 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 Serena Stopponi. Serena Stopponi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 23 | |
| 3 | 23 | |
| 4 | 12 | |
| 5 | 14 | |
| 6 | 41 | |
| 7 | 6 | |
| 8 | 20 | |
| 9 | 28 | |
| 10 | 22 | |
| 11 | 37 | |
| 12 | 17 | |
| 13 | 42 | |
| 14 | 66 | |
| 15 | 49 | |
| 16 | Activation of PPAR gamma by the anti-diabetic agent pioglitazone reduces opioid reinforcement and opioid- induced activation of the mesolimbic dopamine system | 1 |
| 17 | 57 | |
| 18 | 24 | |
| 19 | 56 | |
| 20 | 84 |
About Serena Stopponi
Serena Stopponi is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 26 papers that have together received 930 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Neurotransmitter Receptor Influence on Behavior (10 papers) and Neuropeptides and Animal Physiology (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (623 citations), Behavioral Neuroscience (98 citations) and Biological Psychiatry (60 citations). Serena Stopponi has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Roberto Ciccocioppo, Marsida Kallupi, Nazzareno Cannella, Massimo Ubaldi, Andrea Cippitelli, Markus Heilig, Maurizio Massi, Friedbert Weiss, Daina Economidou and Lorenzo Somaini. Their work appears in journals such as PLoS ONE, Biological Psychiatry and International Journal of Molecular Sciences.
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.