P Preziosi
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Endocrine and Autonomic Systems top 1%
- Behavioral Neuroscience top 1%
- Co-authors
- Cesare MancusoPierluigi NavarraMaria MartireGiuseppe TringaliU. ScapagniniDiego CurròGiacomo PozzoliEugenio Barone
- Topics
- Stress Responses and Cortisol (42 papers)Receptor Mechanisms and Signaling (28 papers)Neuropeptides and Animal Physiology (26 papers)
- Journals
- The LancetJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
P Preziosi
225 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 152
- Molecular Biology 1.4k
- Cellular and Molecular Neuroscience 782
- Physiology 696
- Endocrine and Autonomic Systems 456
- Behavioral Neuroscience 435
Countries citing papers authored by P Preziosi
This map shows the geographic impact of P Preziosi'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 P Preziosi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P Preziosi more than expected).
Fields of papers citing papers by P Preziosi
This network shows the impact of papers produced by P Preziosi. 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 P Preziosi. The network helps show where P Preziosi may publish in the future.
Co-authorship network of co-authors of P Preziosi
This figure shows the co-authorship network connecting the top 25 collaborators of P Preziosi. A scholar is included among the top collaborators of P Preziosi 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 P Preziosi. P Preziosi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | 94 | |
| 4 | 59 | |
| 5 | 48 | |
| 6 | 15 | |
| 7 | Public health professionals evaluate EURALIM, a European information campaign on diet and nutrition | 3 |
| 8 | 49 | |
| 9 | 6 | |
| 10 | Epidémiologie de la déficience en fer et de l'anémie ferriprive dans la population française. | 4 |
| 11 | 27 | |
| 12 | Antioxydants et prévention | 2 |
| 13 | 3 | |
| 14 | 13 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 8 | |
| 18 | Urinary catecholamines and labetalol. | 1 |
| 19 | Psychotropic drugs: mechanism of action at the neurotransmitter level. | 7 |
| 20 | Brain monoamines and stimulation or inhibition of ACTH release. | 6 |
About P Preziosi
P Preziosi is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 232 papers that have together received 4.0k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (42 papers), Receptor Mechanisms and Signaling (28 papers) and Neuropeptides and Animal Physiology (26 papers). The work is most often cited by research in Behavioral Neuroscience (435 citations), Endocrine and Autonomic Systems (456 citations) and Biological Psychiatry (152 citations). P Preziosi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Cesare Mancuso, Pierluigi Navarra, Maria Martire, Giuseppe Tringali, U. Scapagnini, Diego Currò, Giacomo Pozzoli, Eugenio Barone, Michèle Vacca and Giuseppa Pistritto. Their work appears in journals such as The Lancet, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.