Veronica Manicardi
- Endocrinology, Diabetes and Metabolism top 10%
- Physiology
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Cancer Research
- Co-authors
- C CoscelliEleuterio FerranniniG BellodiL. CamelliniU ButturiniAlessia CiarrocchiFederica TorricelliEnzo Bonora
- Topics
- Occupational and environmental lung diseases (4 papers)RNA modifications and cancer (3 papers)Cancer-related molecular mechanisms research (3 papers)
- Journals
- Nucleic Acids ResearchNature CommunicationsThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- ItalyUnited StatesCroatia
In The Last Decade
Veronica Manicardi
16 papers receiving 315 citations
Peers
Comparison fields: 5 of 52
- Endocrinology, Diabetes and Metabolism 137
- Physiology 129
- Molecular Biology 94
- Cardiology and Cardiovascular Medicine 58
- Cancer Research 44
Countries citing papers authored by Veronica Manicardi
This map shows the geographic impact of Veronica Manicardi'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 Veronica Manicardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veronica Manicardi more than expected).
Fields of papers citing papers by Veronica Manicardi
This network shows the impact of papers produced by Veronica Manicardi. 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 Veronica Manicardi. The network helps show where Veronica Manicardi may publish in the future.
Co-authorship network of co-authors of Veronica Manicardi
This figure shows the co-authorship network connecting the top 25 collaborators of Veronica Manicardi. A scholar is included among the top collaborators of Veronica Manicardi 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 Veronica Manicardi. Veronica Manicardi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 37 | |
| 16 | Relationships between insulin secretion, insulin metabolism and insulin resistance in mild glucose intolerance | 35 |
| 17 | 210 |
About Veronica Manicardi
Veronica Manicardi is a scholar working on Hematology, Cancer Research and Pathology and Forensic Medicine, having authored 17 papers that have together received 327 indexed citations. Recurring topics across this work include Occupational and environmental lung diseases (4 papers), RNA modifications and cancer (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (137 citations), Physiology (129 citations) and Endocrine and Autonomic Systems (25 citations). Veronica Manicardi has collaborated with scholars based in Italy, United States and Croatia. Frequent co-authors include C Coscelli, Eleuterio Ferrannini, G Bellodi, L. Camellini, U Butturini, Alessia Ciarrocchi, Federica Torricelli, Enzo Bonora, Ivana Zavaroni and Simonetta Piana. Their work appears in journals such as Nucleic Acids Research, Nature Communications and The Journal of Clinical Endocrinology & Metabolism.
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.