Pasquale D’Angelo
- Polymers and Plastics top 1%
- Conducting polymers and applications 28
- Bioengineering top 2%
- Analytical Chemistry and Sensors 13
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- Organic Electronics and Photovoltaics 14
- Electrochemical sensors and biosensors 10
- Advanced Memory and Neural Computing 7
- Biomedical Engineering top 10%
- Advanced Sensor and Energy Harvesting Materials 13
- Electrochemistry top 10%
- Electrochemical Analysis and Applications 7
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- Neuroscience and Neural Engineering 6
- Co-authors
- Giuseppe TarabellaSalvatore IannottaThomas D. AnthopoulosRaja Shahid AshrafIain McCullochSimone Luigi MarassoFabio BiscariniMatteo Cocuzza
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Pasquale D’Angelo
60 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 92
- Polymers and Plastics 925
- Bioengineering 211
- Electrical and Electronic Engineering 1.3k
- Biomedical Engineering 468
- Electrochemistry 62
Countries citing papers authored by Pasquale D’Angelo
This map shows the geographic impact of Pasquale D’Angelo'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 Pasquale D’Angelo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pasquale D’Angelo more than expected).
Fields of papers citing papers by Pasquale D’Angelo
This network shows the impact of papers produced by Pasquale D’Angelo. 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 Pasquale D’Angelo. The network helps show where Pasquale D’Angelo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pasquale D’Angelo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 40 | |
| 7 | 2024 | 12 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 3 | |
| 13 | 2021 | 40 | |
| 14 | 2019 | 10 | |
| 15 | 2019 | 29 | |
| 16 | 2019 | 71 | |
| 17 | 2018 | 35 | |
| 18 | 2013 | 42 | |
| 19 | 2012 | 110 | |
| 20 | 2010 | 47 |
About Pasquale D’Angelo
Pasquale D’Angelo is a scholar working on Bioengineering, Polymers and Plastics, Electrochemistry, Electrical and Electronic Engineering and Biomaterials, having authored 63 papers that have together received 1.8k indexed citations. Recurring topics across this work include Conducting polymers and applications (28 papers), Organic Electronics and Photovoltaics (14 papers), Advanced Sensor and Energy Harvesting Materials (13 papers), Analytical Chemistry and Sensors (13 papers), Electrochemical sensors and biosensors (10 papers), Advanced Memory and Neural Computing (7 papers), Electrochemical Analysis and Applications (7 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Polymers and Plastics (925 citations), Bioengineering (211 citations), Electrical and Electronic Engineering (1.3k citations), Biomedical Engineering (468 citations) and Electrochemistry (62 citations). Pasquale D’Angelo has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giuseppe Tarabella, Salvatore Iannotta, Thomas D. Anthopoulos, Raja Shahid Ashraf, Iain McCulloch, Simone Luigi Marasso, Fabio Biscarini, Matteo Cocuzza, Bob C. Schroeder and Scott E. Watkins. Their work appears in journals such as Scientific Reports, Journal of Applied Physics, Biosensors, Journal of Materials Chemistry B and Chemical Communications.
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.