Grazia Chiellini

2.3k total citations
47 papers, 1.8k citations indexed

About

Grazia Chiellini is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine. According to data from OpenAlex, Grazia Chiellini has authored 47 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 15 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Grazia Chiellini's work include Thyroid Disorders and Treatments (11 papers), Receptor Mechanisms and Signaling (9 papers) and Vitamin D Research Studies (6 papers). Grazia Chiellini is often cited by papers focused on Thyroid Disorders and Treatments (11 papers), Receptor Mechanisms and Signaling (9 papers) and Vitamin D Research Studies (6 papers). Grazia Chiellini collaborates with scholars based in Italy, United States and Germany. Grazia Chiellini's 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 and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Biochemistry.

In The Last Decade

Grazia Chiellini

46 papers receiving 1.8k citations

Peers

Grazia Chiellini
Comparison fields: 5 of 108
  • Molecular Biology 834
  • Endocrinology, Diabetes and Metabolism 701
  • Cellular and Molecular Neuroscience 338
  • Physiology 290
  • Genetics 186
Replace Grazia Chiellini with:
Grazia Chiellini Italy
Keshore R. Bidasee United States
Daniel C.-H. Lin United States
Sabina Frascarelli Italy
Marek Treiman Denmark
Christine Reynet United States
Sergio Bova Italy
S Ronca-Testoni Italy
Kashan Ahmed Germany
Seishi Kishimoto Japan
Grazia Chiellini Italy View profile →
Citations per field, relative to Grazia Chiellini
Grazia Chiellini · 1×
Citations per year, relative to Grazia Chiellini
Grazia Chiellini · 1×

Countries citing papers authored by Grazia Chiellini

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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