Alessandra De Palma
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Genetics top 10%
- Molecular Medicine top 10%
- Applied Microbiology and Biotechnology top 5%
- Co-authors
- Janet M. AllenDaniela ElleriDongyuan XingLudovic J. ChassinTomas HovorkaJulie HarrisMarianna NodaleRoman Hovorka
- Topics
- Diabetes Management and Research (5 papers)Uterine Myomas and Treatments (4 papers)Pancreatic function and diabetes (4 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismApplied Microbiology and BiotechnologyMolecular Medicine
- Journals
- The LancetSHILAP Revista de lepidopterologíaPsychological Science
- Partner nations
- ItalySwitzerlandPoland
In The Last Decade
Alessandra De Palma
22 papers receiving 662 citations
Peers
Comparison fields: 5 of 94
- Endocrinology, Diabetes and Metabolism 412
- Surgery 348
- Genetics 236
- Molecular Medicine 48
- Applied Microbiology and Biotechnology 45
Countries citing papers authored by Alessandra De Palma
This map shows the geographic impact of Alessandra De Palma'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 Alessandra De Palma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandra De Palma more than expected).
Fields of papers citing papers by Alessandra De Palma
This network shows the impact of papers produced by Alessandra De Palma. 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 Alessandra De Palma. The network helps show where Alessandra De Palma may publish in the future.
Co-authorship network of co-authors of Alessandra De Palma
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandra De Palma. A scholar is included among the top collaborators of Alessandra De Palma 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 Alessandra De Palma. Alessandra De Palma 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 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 12 | |
| 6 | 49 | |
| 7 | 19 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | La malpractice in ortopedia e traumatologia. Analisi dei dati della sinistrosità in tre regioni italiane | 1 |
| 11 | 40 | |
| 12 | 4 | |
| 13 | 64 | |
| 14 | 11 | |
| 15 | 23 | |
| 16 | 50 | |
| 17 | 351 | |
| 18 | 28 | |
| 19 | 4 | |
| 20 | 0 |
About Alessandra De Palma
Alessandra De Palma is a scholar working on Health Informatics, Obstetrics and Gynecology and Applied Microbiology and Biotechnology, having authored 24 papers that have together received 684 indexed citations. Recurring topics across this work include Diabetes Management and Research (5 papers), Uterine Myomas and Treatments (4 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (412 citations), Applied Microbiology and Biotechnology (45 citations) and Molecular Medicine (48 citations). Alessandra De Palma has collaborated with scholars based in Italy, Switzerland and Poland. Frequent co-authors include Janet M. Allen, Daniela Elleri, Dongyuan Xing, Ludovic J. Chassin, Tomas Hovorka, Julie Harris, Marianna Nodale, Roman Hovorka, Craig Kollman and Malgorzata E. Wilinska. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Psychological 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.