Maria Calienni
- Molecular Biology
- Polymers and Plastics top 5%
- Cellular and Molecular Neuroscience top 10%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Beatrice FraboniIsacco GualandiMarco MarzocchiErika ScavettaLorenzo MontanaroSanti SpampinatoMario TaffurelliClaudio Ceccarelli
- Topics
- Conducting polymers and applications (5 papers)Neuropeptides and Animal Physiology (5 papers)Neuroscience and Neural Engineering (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaJNCI Journal of the National Cancer InstituteCancer Research
- Partner nations
- ItalyUnited States
In The Last Decade
Maria Calienni
19 papers receiving 795 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 437
- Polymers and Plastics 228
- Cellular and Molecular Neuroscience 163
- Electrical and Electronic Engineering 160
- Biomedical Engineering 153
Countries citing papers authored by Maria Calienni
This map shows the geographic impact of Maria Calienni'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 Maria Calienni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Calienni more than expected).
Fields of papers citing papers by Maria Calienni
This network shows the impact of papers produced by Maria Calienni. 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 Maria Calienni. The network helps show where Maria Calienni may publish in the future.
Co-authorship network of co-authors of Maria Calienni
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Calienni. A scholar is included among the top collaborators of Maria Calienni 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 Maria Calienni. Maria Calienni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 32 | |
| 5 | 29 | |
| 6 | 26 | |
| 7 | 123 | |
| 8 | 89 | |
| 9 | 89 | |
| 10 | 7 | |
| 11 | 87 | |
| 12 | 22 | |
| 13 | 42 | |
| 14 | 18 | |
| 15 | 98 | |
| 16 | 43 | |
| 17 | 36 | |
| 18 | 5 | |
| 19 | 37 |
About Maria Calienni
Maria Calienni is a scholar working on Cellular and Molecular Neuroscience, Polymers and Plastics and Bioengineering, having authored 19 papers that have together received 799 indexed citations. Recurring topics across this work include Conducting polymers and applications (5 papers), Neuropeptides and Animal Physiology (5 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Bioengineering (97 citations), Polymers and Plastics (228 citations) and Cancer Research (145 citations). Maria Calienni has collaborated with scholars based in Italy and United States. Frequent co-authors include Beatrice Fraboni, Isacco Gualandi, Marco Marzocchi, Erika Scavetta, Lorenzo Montanaro, Santi Spampinato, Mario Taffurelli, Claudio Ceccarelli, Massimo Derenzini and Davide Treré. Their work appears in journals such as SHILAP Revista de lepidopterología, JNCI Journal of the National Cancer Institute and Cancer Research.
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.