Mauro Pessia
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Psychiatry and Mental health top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Maria Cristina D’AdamoPaola ImbriciStephen J. TuckerJohn P. AdelmanChris T. BondR A NorthLorena SalvatoreLuigi Catacuzzeno
- Topics
- Ion channel regulation and function (57 papers)Cardiac electrophysiology and arrhythmias (27 papers)Neuroscience and Neuropharmacology Research (21 papers)
- Partner nations
- ItalyMaltaUnited States
In The Last Decade
Mauro Pessia
77 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 2.2k
- Cellular and Molecular Neuroscience 1.5k
- Cardiology and Cardiovascular Medicine 880
- Psychiatry and Mental health 192
- Cognitive Neuroscience 177
Countries citing papers authored by Mauro Pessia
This map shows the geographic impact of Mauro Pessia'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 Mauro Pessia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Pessia more than expected).
Fields of papers citing papers by Mauro Pessia
This network shows the impact of papers produced by Mauro Pessia. 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 Mauro Pessia. The network helps show where Mauro Pessia may publish in the future.
Co-authorship network of co-authors of Mauro Pessia
This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Pessia. A scholar is included among the top collaborators of Mauro Pessia 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 Mauro Pessia. Mauro Pessia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 77 | |
| 9 | 50 | |
| 10 | 20 | |
| 11 | 19 | |
| 12 | 26 | |
| 13 | 15 | |
| 14 | 24 | |
| 15 | 6 | |
| 16 | 113 | |
| 17 | 24 | |
| 18 | 180 | |
| 19 | Errata: Cloning and expression of a family of inward rectifier potassium channels (Receptors and Channels 2 (183-191)) | 6 |
| 20 | 24 |
About Mauro Pessia
Mauro Pessia is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 79 papers that have together received 2.8k indexed citations. Recurring topics across this work include Ion channel regulation and function (57 papers), Cardiac electrophysiology and arrhythmias (27 papers) and Neuroscience and Neuropharmacology Research (21 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Cardiology and Cardiovascular Medicine (880 citations) and Molecular Biology (2.2k citations). Mauro Pessia has collaborated with scholars based in Italy, Malta and United States. Frequent co-authors include Maria Cristina D’Adamo, Paola Imbrici, Stephen J. Tucker, John P. Adelman, Chris T. Bond, R A North, Lorena Salvatore, Luigi Catacuzzeno, Fabio Franciolini and Giuseppe Di Giovanni. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and Neuron.
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.