Michele F. M. Sciacca
- Physiology top 2%
- Molecular Biology top 10%
- Biomaterials top 5%
- Cell Biology top 10%
- Pharmacology top 5%
- Co-authors
- Ayyalusamy RamamoorthyDanilo MilardiJeffrey BrenderCarmelo La RosaDong-Kuk LeeJC ChenSamuel A. KotlerCarmelo Tempra
- Topics
- Alzheimer's disease research and treatments (34 papers)Lipid Membrane Structure and Behavior (14 papers)Protein Structure and Dynamics (9 papers)
- Cited by
- PhysiologyBiomaterialsMicrobiology
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Physical Chemistry BBiochemistry
- Partner nations
- ItalyUnited StatesSouth Korea
In The Last Decade
Michele F. M. Sciacca
46 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 93
- Physiology 1.2k
- Molecular Biology 1.1k
- Biomaterials 312
- Cell Biology 199
- Pharmacology 187
Countries citing papers authored by Michele F. M. Sciacca
This map shows the geographic impact of Michele F. M. Sciacca'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 Michele F. M. Sciacca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele F. M. Sciacca more than expected).
Fields of papers citing papers by Michele F. M. Sciacca
This network shows the impact of papers produced by Michele F. M. Sciacca. 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 Michele F. M. Sciacca. The network helps show where Michele F. M. Sciacca may publish in the future.
Co-authorship network of co-authors of Michele F. M. Sciacca
This figure shows the co-authorship network connecting the top 25 collaborators of Michele F. M. Sciacca. A scholar is included among the top collaborators of Michele F. M. Sciacca 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 Michele F. M. Sciacca. Michele F. M. Sciacca 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 | 5 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 20 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 37 | |
| 11 | 116 | |
| 12 | 31 | |
| 13 | 77 | |
| 14 | 17 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 87 | |
| 18 | 12 | |
| 19 | 3 | |
| 20 | 37 |
About Michele F. M. Sciacca
Michele F. M. Sciacca is a scholar working on Physiology, Cell Biology and Pharmacology, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (34 papers), Lipid Membrane Structure and Behavior (14 papers) and Protein Structure and Dynamics (9 papers). The work is most often cited by research in Physiology (1.2k citations), Biomaterials (312 citations) and Microbiology (138 citations). Michele F. M. Sciacca has collaborated with scholars based in Italy, United States and South Korea. Frequent co-authors include Ayyalusamy Ramamoorthy, Danilo Milardi, Jeffrey Brender, Carmelo La Rosa, Dong-Kuk Lee, JC Chen, Samuel A. Kotler, Carmelo Tempra, Federica Scollo and Fabio Lolicato. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry B and Biochemistry.
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.