Carlo de Lena
- Cognitive Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Ophthalmology top 5%
- Psychiatry and Mental health top 10%
- Neurology top 5%
- Co-authors
- Alessandro TrebbastoniFabrizia D’AntonioAlessandra CampanelliLetizia ImbrianoGiuseppe BrunoMagda GharbiyaMarco CanevelliMaurizio Inghilleri
- Topics
- Dementia and Cognitive Impairment Research (11 papers)Transcranial Magnetic Stimulation Studies (9 papers)Functional Brain Connectivity Studies (8 papers)
- Journals
- Scientific ReportsAnnals of the New York Academy of SciencesNeuroscience & Biobehavioral Reviews
- Partner nations
- ItalyUnited KingdomFrance
In The Last Decade
Carlo de Lena
39 papers receiving 838 citations
Peers
Comparison fields: 5 of 94
- Cognitive Neuroscience 250
- Radiology, Nuclear Medicine and Imaging 176
- Ophthalmology 173
- Psychiatry and Mental health 165
- Neurology 156
Countries citing papers authored by Carlo de Lena
This map shows the geographic impact of Carlo de Lena'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 Carlo de Lena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo de Lena more than expected).
Fields of papers citing papers by Carlo de Lena
This network shows the impact of papers produced by Carlo de Lena. 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 Carlo de Lena. The network helps show where Carlo de Lena may publish in the future.
Co-authorship network of co-authors of Carlo de Lena
This figure shows the co-authorship network connecting the top 25 collaborators of Carlo de Lena. A scholar is included among the top collaborators of Carlo de Lena 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 Carlo de Lena. Carlo de Lena 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 | 1 | |
| 3 | 17 | |
| 4 | 6 | |
| 5 | 23 | |
| 6 | 50 | |
| 7 | 26 | |
| 8 | 15 | |
| 9 | 27 | |
| 10 | 40 | |
| 11 | 26 | |
| 12 | 67 | |
| 13 | 129 | |
| 14 | 45 | |
| 15 | 18 | |
| 16 | 68 | |
| 17 | 24 | |
| 18 | 29 | |
| 19 | 5 | |
| 20 | Naloxone-induced jumping activity in morphine-dependent mice: a pharmacological study on the role of DA2 receptors. | 2 |
About Carlo de Lena
Carlo de Lena is a scholar working on Neurology, Cognitive Neuroscience and Psychiatry and Mental health, having authored 40 papers that have together received 855 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (11 papers), Transcranial Magnetic Stimulation Studies (9 papers) and Functional Brain Connectivity Studies (8 papers). The work is most often cited by research in Ophthalmology (173 citations), Neurology (156 citations) and Sensory Systems (79 citations). Carlo de Lena has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Alessandro Trebbastoni, Fabrizia D’Antonio, Alessandra Campanelli, Letizia Imbriano, Giuseppe Bruno, Magda Gharbiya, Marco Canevelli, Maurizio Inghilleri, Antonella Di Vita and Francesco Parisi. Their work appears in journals such as Scientific Reports, Annals of the New York Academy of Sciences and Neuroscience & Biobehavioral Reviews.
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.