Anna Maria Cernigoi
- Endocrinology, Diabetes and Metabolism top 5%
- Nephrology top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Co-authors
- Mario VelussiPaola FiorettoCristina CaffauMarino BruseghinMichele MussapMichele Dalla VestraPietro GallinaMario Plebani
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers)Pharmacology and Obesity Treatment (2 papers)Diabetes Treatment and Management (2 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismDiabetesJournal of the American Society of Nephrology
- Partner nations
- Italy
In The Last Decade
Anna Maria Cernigoi
10 papers receiving 662 citations
Peers
Comparison fields: 5 of 70
- Endocrinology, Diabetes and Metabolism 234
- Nephrology 194
- Cardiology and Cardiovascular Medicine 150
- Pulmonary and Respiratory Medicine 145
- Molecular Biology 121
Countries citing papers authored by Anna Maria Cernigoi
This map shows the geographic impact of Anna Maria Cernigoi'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 Anna Maria Cernigoi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Maria Cernigoi more than expected).
Fields of papers citing papers by Anna Maria Cernigoi
This network shows the impact of papers produced by Anna Maria Cernigoi. 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 Anna Maria Cernigoi. The network helps show where Anna Maria Cernigoi may publish in the future.
Co-authorship network of co-authors of Anna Maria Cernigoi
This figure shows the co-authorship network connecting the top 25 collaborators of Anna Maria Cernigoi. A scholar is included among the top collaborators of Anna Maria Cernigoi 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 Anna Maria Cernigoi. Anna Maria Cernigoi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 251 | |
| 2 | Evidence of a threshold value of glycated hemoglobin to improve the course of renal function in type 2 diabetes with typical diabetic glomerulopathy. | 14 |
| 3 | Atorvastatin for the management of Type 2 diabetic patients with dyslipidaemia. A mid-term (9 months) treatment experience. | 25 |
| 4 | 173 | |
| 5 | 3 | |
| 6 | 125 | |
| 7 | 26 | |
| 8 | 2 | |
| 9 | 34 | |
| 10 | 45 |
About Anna Maria Cernigoi
Anna Maria Cernigoi is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Analytical Chemistry, having authored 10 papers that have together received 698 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Pharmacology and Obesity Treatment (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Nephrology (194 citations), Endocrinology, Diabetes and Metabolism (234 citations) and Pharmacology (101 citations). Anna Maria Cernigoi has collaborated with scholars based in Italy. Frequent co-authors include Mario Velussi, Paola Fioretto, Cristina Caffau, Marino Bruseghin, Michele Mussap, Michele Dalla Vestra, Pietro Gallina, Mario Plebani, Alois Saller and R. Nosadini. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and Journal of the American Society of Nephrology.
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.