MARCELLO C. LAURENTI
- Endocrinology, Diabetes and Metabolism top 10%
- Physiology
- Surgery
- Endocrine and Autonomic Systems top 10%
- Molecular Biology
- Co-authors
- Adrian VellaChiara Dalla ManClaudio CobelliRobert A. RizzaAleksey V. MatveyenkoRon T. VargheseAnu SharmaAoife M. Egan
- Topics
- Diabetes Treatment and Management (15 papers)Pancreatic function and diabetes (14 papers)Diabetes Management and Research (12 papers)
- Journals
- Journal of Clinical InvestigationThe Journal of Clinical Endocrinology & MetabolismDiabetes
- Partner nations
- United StatesItalyAustralia
In The Last Decade
MARCELLO C. LAURENTI
27 papers receiving 373 citations
Peers
Comparison fields: 5 of 65
- Endocrinology, Diabetes and Metabolism 137
- Physiology 127
- Surgery 113
- Endocrine and Autonomic Systems 83
- Molecular Biology 74
Countries citing papers authored by MARCELLO C. LAURENTI
This map shows the geographic impact of MARCELLO C. LAURENTI'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 MARCELLO C. LAURENTI with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MARCELLO C. LAURENTI more than expected).
Fields of papers citing papers by MARCELLO C. LAURENTI
This network shows the impact of papers produced by MARCELLO C. LAURENTI. 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 MARCELLO C. LAURENTI. The network helps show where MARCELLO C. LAURENTI may publish in the future.
Co-authorship network of co-authors of MARCELLO C. LAURENTI
This figure shows the co-authorship network connecting the top 25 collaborators of MARCELLO C. LAURENTI. A scholar is included among the top collaborators of MARCELLO C. LAURENTI 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 MARCELLO C. LAURENTI. MARCELLO C. LAURENTI 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 | 4 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 94 | |
| 9 | 11 | |
| 10 | 11 | |
| 11 | 14 | |
| 12 | 14 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 17 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 81 | |
| 19 | 10 | |
| 20 | 41 |
About MARCELLO C. LAURENTI
MARCELLO C. LAURENTI is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Surgery, having authored 29 papers that have together received 375 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (15 papers), Pancreatic function and diabetes (14 papers) and Diabetes Management and Research (12 papers). The work is most often cited by research in Endocrine and Autonomic Systems (83 citations), Endocrinology, Diabetes and Metabolism (137 citations) and Physiology (127 citations). MARCELLO C. LAURENTI has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Adrian Vella, Chiara Dalla Man, Claudio Cobelli, Robert A. Rizza, Aleksey V. Matveyenko, Ron T. Varghese, Anu Sharma, Aoife M. Egan, Ian R. Lanza and Kent R. Bailey. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Diabetes.
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.