Chiara Chiellini

25 papers receiving 1.5k citations

Peers

Chiara Chiellini
Comparison fields: 5 of 100
  • Physiology 557
  • Endocrine and Autonomic Systems 116
  • Obstetrics and Gynecology 87
  • Cell Biology 185
  • Genetics 109
Replace Billie M. Moats‐Staats with:
Billie M. Moats‐Staats United States
Mauricio P. Borić Chile
Hye Jeong Choi South Korea
Virginie Bourlier France
Qingshu Meng China
Thomas Bouckenooghe Belgium
Katalin Éder Hungary
Phi Villageois France
Sara M. Reyna United States
Dorothea I. Siegel-Axel Germany
Chiara Chiellini relative to Billie M. Moats‐Staats United States Billie M. Moats‐Staats's profile →
Citations per field
00.5×1.5×2×2.4×
Billie M. Moats‐Staats · 1×
Citations per year

Countries citing papers authored by Chiara Chiellini

Since Specialization
Citations

This map shows the geographic impact of Chiara 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 Chiara Chiellini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Chiellini more than expected).

Fields of papers citing papers by Chiara Chiellini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chiara 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 Chiara Chiellini. The network helps show where Chiara Chiellini may publish in the future.

Co-authors

The 25 scholars most cited alongside Chiara Chiellini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chiara Chiellini Line = papers co-authored together Chiara Chiellini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009221
2 2009168
3 2008155
4 2003125
5 2008109
6 2004105
7 200891
8 200276
9 200765
10 200360
11 200751
12 200650
13 200943
14 200441
15 200537
16 201031
17 200630
18 200830
19 200924
20 200914

About Chiara Chiellini

Chiara Chiellini is a scholar working on Endocrine and Autonomic Systems, Cell Biology, Physiology, Molecular Biology and Surgery, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Regulation of Appetite and Obesity (3 papers), Pancreatic function and diabetes (2 papers), Biomarkers in Disease Mechanisms (2 papers), Neuroscience of respiration and sleep (2 papers) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Physiology (557 citations), Endocrine and Autonomic Systems (116 citations), Obstetrics and Gynecology (87 citations), Cell Biology (185 citations) and Genetics (109 citations). Chiara Chiellini has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Ez‐Zoubir Amri, Gerard P. Ailhaud, Margherita Maffei, Christian Dani, Olivia Cochet, Geltrude Mingrone, Christian Elabd, Amerigo Iaconelli, Donatella Gniuli and Melania Manco. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care, Diabetologia, Journal of Cellular Physiology and Biochemical and Biophysical Research Communications.

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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