G. Pozzessere
- Neurology top 5%
- Physiology
- Neurology top 5%
- Cognitive Neuroscience top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- E. ValleSusanna MoranoC MorocuttiUmberto Di MarioFrancesco PierelliFrancesco FattappostaP. RizzoG Amabile
- Topics
- Parkinson's Disease Mechanisms and Treatments (6 papers)EEG and Brain-Computer Interfaces (6 papers)Neurological disorders and treatments (5 papers)
- Cited by
- NeurologyOphthalmology
- Partner nations
- ItalyBelgiumSwitzerland
In The Last Decade
G. Pozzessere
43 papers receiving 659 citations
Peers
Comparison fields: 5 of 79
- Neurology 198
- Physiology 145
- Neurology 142
- Cognitive Neuroscience 135
- Endocrinology, Diabetes and Metabolism 115
Countries citing papers authored by G. Pozzessere
This map shows the geographic impact of G. Pozzessere'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 G. Pozzessere with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Pozzessere more than expected).
Fields of papers citing papers by G. Pozzessere
This network shows the impact of papers produced by G. Pozzessere. 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 G. Pozzessere. The network helps show where G. Pozzessere may publish in the future.
Co-authorship network of co-authors of G. Pozzessere
This figure shows the co-authorship network connecting the top 25 collaborators of G. Pozzessere. A scholar is included among the top collaborators of G. Pozzessere 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 G. Pozzessere. G. Pozzessere is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 7 | |
| 3 | 22 | |
| 4 | 26 | |
| 5 | 1 | |
| 6 | 32 | |
| 7 | Neuroelectrophysiological abnormalities are related to metabolic and advanced non-enzymatic glycation changes in prospectively evaluated diabetic Sprague-Dawley rats | 1 |
| 8 | 8 | |
| 9 | 34 | |
| 10 | 19 | |
| 11 | 39 | |
| 12 | FUNCTIONAL, MORPHOLOGICAL AND BIOCHEMICAL-ALTERATIONS OF CENTRAL-NERVOUS-SYSTEM IN EXPERIMENTAL DIABETES | 1 |
| 13 | 14 | |
| 14 | 7 | |
| 15 | Angiographically occult brainstem vascular malformation: a longitudinal comparison of magnetic resonance imaging (MRI) and multimodal evoked potential (EP) recordings. | 0 |
| 16 | 4 | |
| 17 | 11 | |
| 18 | 15 | |
| 19 | 1 | |
| 20 | Pattern visual evoked potentials and brainstem auditory evoked responses in uremic patients. | 8 |
About G. Pozzessere
G. Pozzessere is a scholar working on Neurology, Neurology and Clinical Biochemistry, having authored 45 papers that have together received 692 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), EEG and Brain-Computer Interfaces (6 papers) and Neurological disorders and treatments (5 papers). The work is most often cited by research in Neurology (142 citations), Neurology (198 citations) and Ophthalmology (76 citations). G. Pozzessere has collaborated with scholars based in Italy, Belgium and Switzerland. Frequent co-authors include E. Valle, Susanna Morano, C Morocutti, Umberto Di Mario, Francesco Pierelli, Francesco Fattapposta, P. Rizzo, G Amabile, D Andreani and Mariano Serrao. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Diabetes.
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.