Paola G. Andreis
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Endocrine and Autonomic Systems top 2%
- Co-authors
- Gastone G. NussdorferUbaldo ArmatoGiuliano NeriRaffaella SpinazziGian Paolo RossiLudwik K. MalendowiczGiuseppina MazzocchiAnna S. Belloni
- Topics
- Hormonal Regulation and Hypertension (20 papers)Receptor Mechanisms and Signaling (18 papers)Neuropeptides and Animal Physiology (17 papers)
- Cited by
- Behavioral NeuroscienceEndocrine and Autonomic SystemsEndocrinology, Diabetes and Metabolism
- Partner nations
- ItalyUnited StatesCanada
In The Last Decade
Paola G. Andreis
66 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 558
- Endocrinology, Diabetes and Metabolism 440
- Cellular and Molecular Neuroscience 402
- Physiology 329
- Endocrine and Autonomic Systems 314
Countries citing papers authored by Paola G. Andreis
This map shows the geographic impact of Paola G. Andreis'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 Paola G. Andreis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola G. Andreis more than expected).
Fields of papers citing papers by Paola G. Andreis
This network shows the impact of papers produced by Paola G. Andreis. 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 Paola G. Andreis. The network helps show where Paola G. Andreis may publish in the future.
Co-authorship network of co-authors of Paola G. Andreis
This figure shows the co-authorship network connecting the top 25 collaborators of Paola G. Andreis. A scholar is included among the top collaborators of Paola G. Andreis 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 Paola G. Andreis. Paola G. Andreis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 155 | |
| 2 | 6 | |
| 3 | 8 | |
| 4 | 8 | |
| 5 | 25 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 32 | |
| 9 | 18 | |
| 10 | 7 | |
| 11 | 46 | |
| 12 | 28 | |
| 13 | 50 | |
| 14 | 5 | |
| 15 | 18 | |
| 16 | 97 | |
| 17 | 5 | |
| 18 | 70 | |
| 19 | 54 | |
| 20 | 39 |
About Paola G. Andreis
Paola G. Andreis is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (20 papers), Receptor Mechanisms and Signaling (18 papers) and Neuropeptides and Animal Physiology (17 papers). The work is most often cited by research in Behavioral Neuroscience (181 citations), Endocrine and Autonomic Systems (314 citations) and Endocrinology, Diabetes and Metabolism (440 citations). Paola G. Andreis has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Gastone G. Nussdorfer, Ubaldo Armato, Giuliano Neri, Raffaella Spinazzi, Gian Paolo Rossi, Ludwik K. Malendowicz, Giuseppina Mazzocchi, Anna S. Belloni, J. F. Whitfield and Giovanna Albertin. Their work appears in journals such as FEBS Letters, Pharmacological Reviews and Endocrinology.
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.