Grazia Chiellini
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Genetics top 10%
- Co-authors
- Riccardo ZucchiThomas S. ScanlanD. K. GrandySimona RapposelliSimona SestitoSabina FrascarelliJohn D. BaxterGary J. Grover
- Topics
- Thyroid Disorders and Treatments (11 papers)Receptor Mechanisms and Signaling (9 papers)Vitamin D Research Studies (6 papers)
- Journals
- Nature MedicineSHILAP Revista de lepidopterologíaBiochemistry
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Grazia Chiellini
46 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 834
- Endocrinology, Diabetes and Metabolism 701
- Cellular and Molecular Neuroscience 338
- Physiology 290
- Genetics 186
Countries citing papers authored by Grazia Chiellini
This map shows the geographic impact of Grazia Chiellini'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 Grazia Chiellini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grazia Chiellini more than expected).
Fields of papers citing papers by Grazia Chiellini
This network shows the impact of papers produced by Grazia Chiellini. 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 Grazia Chiellini. The network helps show where Grazia Chiellini may publish in the future.
Co-authorship network of co-authors of Grazia Chiellini
This figure shows the co-authorship network connecting the top 25 collaborators of Grazia Chiellini. A scholar is included among the top collaborators of Grazia Chiellini 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 Grazia Chiellini. Grazia Chiellini 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 | 5 | |
| 3 | 29 | |
| 4 | 86 | |
| 5 | 22 | |
| 6 | 35 | |
| 7 | 33 | |
| 8 | 23 | |
| 9 | 25 | |
| 10 | 13 | |
| 11 | 33 | |
| 12 | 18 | |
| 13 | 36 | |
| 14 | 36 | |
| 15 | 237 | |
| 16 | Modulation of cardiac inotropic state by a novel thyroid hormone analog acting via non genomic mechanism | 1 |
| 17 | 348 | |
| 18 | 139 | |
| 19 | 195 | |
| 20 | 9 |
About Grazia Chiellini
Grazia Chiellini is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (11 papers), Receptor Mechanisms and Signaling (9 papers) and Vitamin D Research Studies (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (701 citations), Sensory Systems (97 citations) and Cellular and Molecular Neuroscience (338 citations). Grazia Chiellini has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Riccardo Zucchi, Thomas S. Scanlan, D. K. Grandy, Simona Rapposelli, Simona Sestito, Sabina Frascarelli, John D. Baxter, Gary J. Grover, David K. Grandy and S Ronca-Testoni. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and Biochemistry.
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.