Matteo Apicella
- Infectious Diseases top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Neurology top 10%
- Surgery
- Co-authors
- Laura MazoniMaria Cristina CampopianoStefano Del PratoMichele MantuanoA CoppelliFederica SaponaroClaudio MarcocciFilomena Cetani
- Topics
- Parathyroid Disorders and Treatments (8 papers)Thyroid and Parathyroid Surgery (4 papers)Pancreatic and Hepatic Oncology Research (2 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismThe Lancet Diabetes & EndocrinologyJournal of Endocrinological Investigation
- Partner nations
- ItalyUnited States
In The Last Decade
Matteo Apicella
10 papers receiving 696 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Infectious Diseases 437
- Endocrinology, Diabetes and Metabolism 207
- Genetics 200
- Neurology 166
- Surgery 96
Countries citing papers authored by Matteo Apicella
This map shows the geographic impact of Matteo Apicella'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 Matteo Apicella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Apicella more than expected).
Fields of papers citing papers by Matteo Apicella
This network shows the impact of papers produced by Matteo Apicella. 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 Matteo Apicella. The network helps show where Matteo Apicella may publish in the future.
Co-authorship network of co-authors of Matteo Apicella
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Apicella. A scholar is included among the top collaborators of Matteo Apicella 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 Matteo Apicella. Matteo Apicella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 7 | |
| 5 | 12 | |
| 6 | COVID-19 in people with diabetes: understanding the reasons for worse outcomesbreakdown → | 617 |
| 7 | 1 | |
| 8 | 15 | |
| 9 | 16 | |
| 10 | 20 | |
| 11 | 0 |
About Matteo Apicella
Matteo Apicella is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 11 papers that have together received 721 indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (8 papers), Thyroid and Parathyroid Surgery (4 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Infectious Diseases (437 citations), Endocrinology, Diabetes and Metabolism (207 citations) and Neurology (166 citations). Matteo Apicella has collaborated with scholars based in Italy and United States. Frequent co-authors include Laura Mazoni, Maria Cristina Campopiano, Stefano Del Prato, Michele Mantuano, A Coppelli, Federica Saponaro, Claudio Marcocci, Filomena Cetani, Elena Pardi and Simona Borsari. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The Lancet Diabetes & Endocrinology and Journal of Endocrinological Investigation.
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.