Mariangela Serra
- Cellular and Molecular Neuroscience top 0.5%
- Behavioral Neuroscience top 0.1%
- Molecular Biology top 5%
- Social Psychology top 1%
- Cognitive Neuroscience top 5%
- Co-authors
- Giovanni BiggioMaria Giuseppina PisuEnrico SannaAlessandra ConcasRobert H. PurdyPaolo FollesaMaria Luisa BarbacciaAlessandro Concas
- Topics
- Neuroscience and Neuropharmacology Research (91 papers)Stress Responses and Cortisol (52 papers)Neuroendocrine regulation and behavior (41 papers)
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Mariangela Serra
158 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 125
- Cellular and Molecular Neuroscience 2.8k
- Behavioral Neuroscience 1.9k
- Molecular Biology 1.3k
- Social Psychology 1.3k
- Cognitive Neuroscience 642
Countries citing papers authored by Mariangela Serra
This map shows the geographic impact of Mariangela Serra'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 Mariangela Serra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariangela Serra more than expected).
Fields of papers citing papers by Mariangela Serra
This network shows the impact of papers produced by Mariangela Serra. 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 Mariangela Serra. The network helps show where Mariangela Serra may publish in the future.
Co-authorship network of co-authors of Mariangela Serra
This figure shows the co-authorship network connecting the top 25 collaborators of Mariangela Serra. A scholar is included among the top collaborators of Mariangela Serra 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 Mariangela Serra. Mariangela Serra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 95 | |
| 7 | 7 | |
| 8 | 56 | |
| 9 | 177 | |
| 10 | 18 | |
| 11 | 10 | |
| 12 | 19 | |
| 13 | 20 | |
| 14 | 20 | |
| 15 | 28 | |
| 16 | 55 | |
| 17 | 41 | |
| 18 | 15 | |
| 19 | 164 | |
| 20 | 102 |
About Mariangela Serra
Mariangela Serra is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 158 papers that have together received 5.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (91 papers), Stress Responses and Cortisol (52 papers) and Neuroendocrine regulation and behavior (41 papers). The work is most often cited by research in Behavioral Neuroscience (1.9k citations), Biological Psychiatry (551 citations) and Cellular and Molecular Neuroscience (2.8k citations). Mariangela Serra has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Giovanni Biggio, Maria Giuseppina Pisu, Enrico Sanna, Alessandra Concas, Robert H. Purdy, Paolo Follesa, Maria Luisa Barbaccia, Alessandro Concas, Laura Dazzi and Gaetano Liso. Their work appears in journals such as Journal of Neuroscience, Brain Research and Biochemical and Biophysical Research Communications.
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.