Chiara Mele

1.7k citations
59 papers · 1.1k · h-index 21

Impact in

Papers in

Chiara Mele

52 papers receiving 1.1k citations

Peers

Chiara Mele
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 322
  • Pathology and Forensic Medicine 259
  • Behavioral Neuroscience 29
  • Biological Psychiatry 18
  • Neurology 98
Replace Gwen Kennedy with:
Gwen Kennedy United Kingdom
Lilia Dakovska Bulgaria
E. Graff Israel
Huacong Deng China
Francisco Carrilho Portugal
Rebecca D. Jackson United States
Thomas Bobbert Germany
Takahisa Ushiroyama Japan
Georgi Кirilov Bulgaria
Maria Luisa Attilia Italy
Chiara Mele relative to Gwen Kennedy United Kingdom Gwen Kennedy's profile →
Citations per field
00.5×3.1×
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Citations per year

Countries citing papers authored by Chiara Mele

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Mele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chiara Mele, 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 Mele Line = papers co-authored together Chiara Mele links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017131
2 2019108
3 201159
4 202047
5 201545
6 202144
7 202041
8 202039
9 202134
10 201831
11 201830
12 202030
13 202229
14 201725
15 202025
16 201825
17 202223
18 201923
19 202022
20 202120

About Chiara Mele

Chiara Mele is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pathology and Forensic Medicine, Genetics and Neurology, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (8 papers), Thyroid Disorders and Treatments (8 papers), Thyroid Cancer Diagnosis and Treatment (8 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Vitamin D Research Studies (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Vitamin C and Antioxidants Research (4 papers) and Adrenal Hormones and Disorders (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (322 citations), Pathology and Forensic Medicine (259 citations), Behavioral Neuroscience (29 citations), Biological Psychiatry (18 citations) and Neurology (98 citations). Chiara Mele has collaborated with scholars based in Italy, Belgium and Netherlands. Frequent co-authors include Paolo Marzullo, Gianluca Aimaretti, Marina Caputo, Flavia Prodam, Massimo Scacchi, Loredana Pagano, Silvia Savastano, Annamaria Colao, Antonio Nardone and Stefania Mai. Their work appears in journals such as Frontiers in Endocrinology, Nutrients, Scientific Reports, HORMONES and International Journal of Molecular Sciences.

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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