Roberta Piccoletti
- Molecular Biology
- Epidemiology
- Physiology
- Endocrine and Autonomic Systems top 5%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Paola BendinelliPaola MaroniAldo Bernelli‐ZazzeraLuisa SchiaffonatiGiuseppina BarreraGiuseppe PoliMaurizio ParolaIrma Dianzani
- Topics
- Liver Disease Diagnosis and Treatment (7 papers)Metabolism and Genetic Disorders (7 papers)Adipose Tissue and Metabolism (5 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismBiochemical JournalBiochemical and Biophysical Research Communications
- Partner nations
- ItalyNetherlands
In The Last Decade
Roberta Piccoletti
31 papers receiving 735 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 347
- Epidemiology 209
- Physiology 172
- Endocrine and Autonomic Systems 118
- Endocrinology, Diabetes and Metabolism 95
Countries citing papers authored by Roberta Piccoletti
This map shows the geographic impact of Roberta Piccoletti'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 Roberta Piccoletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberta Piccoletti more than expected).
Fields of papers citing papers by Roberta Piccoletti
This network shows the impact of papers produced by Roberta Piccoletti. 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 Roberta Piccoletti. The network helps show where Roberta Piccoletti may publish in the future.
Co-authorship network of co-authors of Roberta Piccoletti
This figure shows the co-authorship network connecting the top 25 collaborators of Roberta Piccoletti. A scholar is included among the top collaborators of Roberta Piccoletti 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 Roberta Piccoletti. Roberta Piccoletti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 76 | |
| 2 | 17 | |
| 3 | 38 | |
| 4 | 43 | |
| 5 | 45 | |
| 6 | 18 | |
| 7 | 17 | |
| 8 | 42 | |
| 9 | 26 | |
| 10 | 27 | |
| 11 | 21 | |
| 12 | 62 | |
| 13 | 14 | |
| 14 | 3 | |
| 15 | 15 | |
| 16 | 115 | |
| 17 | 8 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 1 |
About Roberta Piccoletti
Roberta Piccoletti is a scholar working on Clinical Biochemistry, Hepatology and Endocrine and Autonomic Systems, having authored 32 papers that have together received 762 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Metabolism and Genetic Disorders (7 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (118 citations), Hepatology (73 citations) and Physiology (172 citations). Roberta Piccoletti has collaborated with scholars based in Italy and Netherlands. Frequent co-authors include Paola Bendinelli, Paola Maroni, Aldo Bernelli‐Zazzera, Luisa Schiaffonati, Giuseppina Barrera, Giuseppe Poli, Maurizio Parola, Irma Dianzani, Gabriella Leonarduzzi and Laura Tiberio. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical Journal and Biochemical and Biophysical Research Communications.
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.