Giovanni B. Picotti
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- M. Da PradaMichele O. CarrubaW. HaefelyGianpietro BondiolottiM. D. GalvaPaolo MantegazzaAndrea M. CesuraS Poto
- Topics
- Neurotransmitter Receptor Influence on Behavior (17 papers)Receptor Mechanisms and Signaling (14 papers)Heart Rate Variability and Autonomic Control (10 papers)
- Partner nations
- ItalySwitzerlandBrazil
In The Last Decade
Giovanni B. Picotti
78 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 471
- Cellular and Molecular Neuroscience 423
- Physiology 373
- Cardiology and Cardiovascular Medicine 372
- Endocrinology, Diabetes and Metabolism 250
Countries citing papers authored by Giovanni B. Picotti
This map shows the geographic impact of Giovanni B. Picotti'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 Giovanni B. Picotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni B. Picotti more than expected).
Fields of papers citing papers by Giovanni B. Picotti
This network shows the impact of papers produced by Giovanni B. Picotti. 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 Giovanni B. Picotti. The network helps show where Giovanni B. Picotti may publish in the future.
Co-authorship network of co-authors of Giovanni B. Picotti
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni B. Picotti. A scholar is included among the top collaborators of Giovanni B. Picotti 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 Giovanni B. Picotti. Giovanni B. Picotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 29 | |
| 3 | 73 | |
| 4 | 27 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 36 | |
| 8 | 8 | |
| 9 | 45 | |
| 10 | 6 | |
| 11 | 21 | |
| 12 | 29 | |
| 13 | 4 | |
| 14 | Effect of chronic ethanol consumption on human and animal receptor plasticity during aging. | 2 |
| 15 | 51 | |
| 16 | 1 | |
| 17 | 41 | |
| 18 | 117 | |
| 19 | Blood pressure behaviour during dialysis and ultrafiltration. A pathogenic hypothesis on hemodialysis-induced hypotension. | 11 |
| 20 | [Electroencephalographic aspects in trieline poisoning]. | 1 |
About Giovanni B. Picotti
Giovanni B. Picotti is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Biological Psychiatry, having authored 80 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (17 papers), Receptor Mechanisms and Signaling (14 papers) and Heart Rate Variability and Autonomic Control (10 papers). The work is most often cited by research in Behavioral Neuroscience (139 citations), Cellular and Molecular Neuroscience (423 citations) and Biological Psychiatry (55 citations). Giovanni B. Picotti has collaborated with scholars based in Italy, Switzerland and Brazil. Frequent co-authors include M. Da Prada, Michele O. Carruba, W. Haefely, Gianpietro Bondiolotti, M. D. Galva, Paolo Mantegazza, Andrea M. Cesura, S Poto, Carlo Vigorito and Gianni Marone. Their work appears in journals such as The Lancet, Circulation and Journal of Clinical Investigation.
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.