Matteo Apicella

1.2k total citations · 1 hit paper
11 papers, 721 citations indexed

About

Matteo Apicella is a scholar working on Nephrology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Matteo Apicella has authored 11 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nephrology, 4 papers in Surgery and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Matteo Apicella's work include Parathyroid Disorders and Treatments (8 papers), Thyroid and Parathyroid Surgery (4 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Matteo Apicella is often cited by papers focused on Parathyroid Disorders and Treatments (8 papers), Thyroid and Parathyroid Surgery (4 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Matteo Apicella collaborates with scholars based in Italy and United States. Matteo Apicella's 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 and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, The Lancet Diabetes & Endocrinology and Journal of Endocrinological Investigation.

In The Last Decade

Matteo Apicella

10 papers receiving 696 citations

Hit Papers

COVID-19 in people with diabetes: understanding the reaso... 2020 2026 2022 2024 2020 200 400 600

Peers

Matteo Apicella
Comparison fields: 5 of 88
  • Infectious Diseases 437
  • Endocrinology, Diabetes and Metabolism 207
  • Genetics 200
  • Neurology 166
  • Surgery 96
Replace Laura Mazoni with:
Laura Mazoni Italy
Lenita Zajdenverg Brazil
Nicholas J. Thomas United Kingdom
Arief Wibowo Indonesia
Maria Cristina Campopiano Italy
Vikash Jaiswal United States
Nanny Natalia Mulyani Soetedjo Indonesia
Moshe Shashar Israel
Yang Zhi China
Laura Mazoni Italy View profile →
Citations per field, relative to Matteo Apicella
Matteo Apicella · 1×
Citations per year, relative to Matteo Apicella
Matteo Apicella · 1×

Countries citing papers authored by Matteo Apicella

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

11 of 11 papers shown
# 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 outcomes breakdown →
617
7 1
8 15
9 16
10 20
11 0

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.

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