Francesco Massimo Perla
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Pathology and Forensic Medicine top 10%
- Physiology
- Molecular Biology
- Co-authors
- Claudio ChiesaLucia PacificoCaterina AnaniaFrancesca OliveroAlberto SpaliceGraziano GusmaroliC. BarileLuca Durelli
- Topics
- Liver Disease Diagnosis and Treatment (7 papers)Diet, Metabolism, and Disease (5 papers)Birth, Development, and Health (3 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Francesco Massimo Perla
23 papers receiving 785 citations
Peers
Comparison fields: 5 of 78
- Epidemiology 407
- Endocrinology, Diabetes and Metabolism 245
- Pathology and Forensic Medicine 175
- Physiology 150
- Molecular Biology 128
Countries citing papers authored by Francesco Massimo Perla
This map shows the geographic impact of Francesco Massimo Perla'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 Francesco Massimo Perla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Massimo Perla more than expected).
Fields of papers citing papers by Francesco Massimo Perla
This network shows the impact of papers produced by Francesco Massimo Perla. 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 Francesco Massimo Perla. The network helps show where Francesco Massimo Perla may publish in the future.
Co-authorship network of co-authors of Francesco Massimo Perla
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Massimo Perla. A scholar is included among the top collaborators of Francesco Massimo Perla 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 Francesco Massimo Perla. Francesco Massimo Perla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 11 | |
| 3 | 10 | |
| 4 | 8 | |
| 5 | 23 | |
| 6 | 29 | |
| 7 | 25 | |
| 8 | 29 | |
| 9 | 33 | |
| 10 | 233 | |
| 11 | 35 | |
| 12 | 21 | |
| 13 | 1 | |
| 14 | Up-regulation of EphB and ephrin-B expression in rhabdomyosarcoma. | 20 |
| 15 | 4 | |
| 16 | 8 | |
| 17 | 21 | |
| 18 | 41 | |
| 19 | Superoxide release by human polymorphonuclear leukocytes in the presence of deferoxamine. | 2 |
| 20 | Early immunosuppressive effect of parenteral methylprednisolone in the treatment of multiple sclerosis. | 4 |
About Francesco Massimo Perla
Francesco Massimo Perla is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health, having authored 23 papers that have together received 807 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Diet, Metabolism, and Disease (5 papers) and Birth, Development, and Health (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (245 citations), Epidemiology (407 citations) and Hepatology (82 citations). Francesco Massimo Perla has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Claudio Chiesa, Lucia Pacifico, Caterina Anania, Francesca Olivero, Alberto Spalice, Graziano Gusmaroli, C. Barile, Luca Durelli, B. Bergamasco and A Riccio. Their work appears in journals such as Neurology, PEDIATRICS and International Journal of Molecular Sciences.
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.