Debora Mazzarelli
- Archeology top 0.2%
- Genetics top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Insect Science top 5%
- Molecular Biology
- Co-authors
- Cristina CattaneoAnnalisa CappellaDaniele GibelliDanilo De AngelisAlberto AmadasiChiarella SforzaDavide PortaPasquale Poppa
- Topics
- Forensic Anthropology and Bioarchaeology Studies (54 papers)Forensic and Genetic Research (27 papers)Paleopathology and ancient diseases (16 papers)
- Cited by
- ArcheologyInsect ScienceGenetics
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsJournal of Archaeological Science
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
Debora Mazzarelli
66 papers receiving 838 citations
Peers
Comparison fields: 5 of 111
- Archeology 577
- Genetics 306
- Radiology, Nuclear Medicine and Imaging 197
- Insect Science 142
- Molecular Biology 78
Countries citing papers authored by Debora Mazzarelli
This map shows the geographic impact of Debora Mazzarelli'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 Debora Mazzarelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debora Mazzarelli more than expected).
Fields of papers citing papers by Debora Mazzarelli
This network shows the impact of papers produced by Debora Mazzarelli. 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 Debora Mazzarelli. The network helps show where Debora Mazzarelli may publish in the future.
Co-authorship network of co-authors of Debora Mazzarelli
This figure shows the co-authorship network connecting the top 25 collaborators of Debora Mazzarelli. A scholar is included among the top collaborators of Debora Mazzarelli 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 Debora Mazzarelli. Debora Mazzarelli 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 | 3 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 13 | |
| 9 | 21 | |
| 10 | 24 | |
| 11 | 2 | |
| 12 | 16 | |
| 13 | 42 | |
| 14 | 55 | |
| 15 | 8 | |
| 16 | 5 | |
| 17 | 7 | |
| 18 | 27 | |
| 19 | 17 | |
| 20 | 31 |
About Debora Mazzarelli
Debora Mazzarelli is a scholar working on Archeology, Genetics and Insect Science, having authored 69 papers that have together received 852 indexed citations. Recurring topics across this work include Forensic Anthropology and Bioarchaeology Studies (54 papers), Forensic and Genetic Research (27 papers) and Paleopathology and ancient diseases (16 papers). The work is most often cited by research in Archeology (577 citations), Insect Science (142 citations) and Genetics (306 citations). Debora Mazzarelli has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Cristina Cattaneo, Annalisa Cappella, Daniele Gibelli, Danilo De Angelis, Alberto Amadasi, Chiarella Sforza, Davide Porta, Pasquale Poppa, Daniel Gaudio and Lucie Biehler‐Gomez. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Archaeological Science.
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.