Mariarosaria Negri
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Molecular Biology
- Pathology and Forensic Medicine
- Physiology
- Co-authors
- Rosario PivonelloClaudia PivonelloAnnamaria ColaoChiara SimeoliCristina de AngelisMaria Cristina De MartinoRoberta PatalanoRenata S. Auriemma
- Topics
- Pituitary Gland Disorders and Treatments (11 papers)Growth Hormone and Insulin-like Growth Factors (7 papers)Adrenal and Paraganglionic Tumors (7 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismBehavioral NeuroscienceEndocrine and Autonomic Systems
- Partner nations
- ItalyNetherlandsGreece
In The Last Decade
Mariarosaria Negri
41 papers receiving 914 citations
Peers
Comparison fields: 5 of 103
- Endocrinology, Diabetes and Metabolism 440
- Surgery 178
- Molecular Biology 151
- Pathology and Forensic Medicine 98
- Physiology 97
Countries citing papers authored by Mariarosaria Negri
This map shows the geographic impact of Mariarosaria Negri'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 Mariarosaria Negri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariarosaria Negri more than expected).
Fields of papers citing papers by Mariarosaria Negri
This network shows the impact of papers produced by Mariarosaria Negri. 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 Mariarosaria Negri. The network helps show where Mariarosaria Negri may publish in the future.
Co-authorship network of co-authors of Mariarosaria Negri
This figure shows the co-authorship network connecting the top 25 collaborators of Mariarosaria Negri. A scholar is included among the top collaborators of Mariarosaria Negri 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 Mariarosaria Negri. Mariarosaria Negri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 16 | |
| 6 | 4 | |
| 7 | 15 | |
| 8 | 85 | |
| 9 | 80 | |
| 10 | 19 | |
| 11 | 22 | |
| 12 | 17 | |
| 13 | 0 | |
| 14 | 38 | |
| 15 | 25 | |
| 16 | 14 | |
| 17 | 121 | |
| 18 | 69 | |
| 19 | 18 | |
| 20 | Inhibition of protein non-enzymic glycation induced by Bendazac. | 3 |
About Mariarosaria Negri
Mariarosaria Negri is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Endocrine and Autonomic Systems, having authored 44 papers that have together received 932 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (11 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Adrenal and Paraganglionic Tumors (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (440 citations), Behavioral Neuroscience (73 citations) and Endocrine and Autonomic Systems (90 citations). Mariarosaria Negri has collaborated with scholars based in Italy, Netherlands and Greece. Frequent co-authors include Rosario Pivonello, Claudia Pivonello, Annamaria Colao, Chiara Simeoli, Cristina de Angelis, Maria Cristina De Martino, Roberta Patalano, Renata S. Auriemma, Rosario Ferrigno and Giovanna Muscogiuri. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Endocrinology.
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.