Maria Fuciarelli
- Molecular Biology
- Genetics top 10%
- Physiology
- Public Health, Environmental and Occupational Health
- Immunology
- Co-authors
- Renato PolimantiSara PiacentiniDario ManfellottoGian Franco De StefanoFlavio De AngelisMarco Di GirolamoCristina Martínez‐LabargaNatalia Lazzarin
- Topics
- Glutathione Transferases and Polymorphisms (24 papers)Genomics, phytochemicals, and oxidative stress (12 papers)Amyloidosis: Diagnosis, Treatment, Outcomes (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaHuman Molecular GeneticsGene
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Maria Fuciarelli
56 papers receiving 828 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 581
- Genetics 207
- Physiology 103
- Public Health, Environmental and Occupational Health 71
- Immunology 60
Countries citing papers authored by Maria Fuciarelli
This map shows the geographic impact of Maria Fuciarelli'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 Fuciarelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Fuciarelli more than expected).
Fields of papers citing papers by Maria Fuciarelli
This network shows the impact of papers produced by Maria Fuciarelli. 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 Fuciarelli. The network helps show where Maria Fuciarelli may publish in the future.
Co-authorship network of co-authors of Maria Fuciarelli
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Fuciarelli. A scholar is included among the top collaborators of Maria Fuciarelli 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 Fuciarelli. Maria Fuciarelli 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 | 7 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 9 | |
| 6 | 14 | |
| 7 | 7 | |
| 8 | 20 | |
| 9 | 6 | |
| 10 | 27 | |
| 11 | 35 | |
| 12 | 19 | |
| 13 | 33 | |
| 14 | 77 | |
| 15 | 20 | |
| 16 | 23 | |
| 17 | 34 | |
| 18 | 24 | |
| 19 | 7 | |
| 20 | Population genetics of red cell and serum markers in the four Albanian communities of Molise, Italy. | 8 |
About Maria Fuciarelli
Maria Fuciarelli is a scholar working on Molecular Biology, Genetics and Cell Biology, having authored 56 papers that have together received 841 indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (24 papers), Genomics, phytochemicals, and oxidative stress (12 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (9 papers). The work is most often cited by research in Molecular Biology (581 citations), Genetics (207 citations) and Reproductive Medicine (41 citations). Maria Fuciarelli has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Renato Polimanti, Sara Piacentini, Dario Manfellotto, Gian Franco De Stefano, Flavio De Angelis, Marco Di Girolamo, Cristina Martínez‐Labarga, Natalia Lazzarin, Rosanna Squitti and Fabrizio Vernieri. Their work appears in journals such as SHILAP Revista de lepidopterología, Human Molecular Genetics and Gene.
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.