Stefania Caiola

721 citations
31 papers · 613 · h-index 11

Impact in

Papers in

Stefania Caiola

31 papers receiving 559 citations

Peers

Stefania Caiola
Comparison fields: 5 of 82
  • Gastroenterology 99
  • Reproductive Medicine 65
  • Health, Toxicology and Mutagenesis 97
  • Endocrinology, Diabetes and Metabolism 106
  • Behavioral Neuroscience 19
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Agna Boass United States
Tomoki Takeda Japan
Silvia I. Anghel Switzerland
Marjorie Safran United States
Vittorio Anania Italy
Hayato Kan Japan
Laurel A. Coons United States
Carolina Andrea Pontillo Argentina
Halit Sinan Suzen Türkiye
Sing-Yung Wu United States
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Citations per field
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Citations per year

Countries citing papers authored by Stefania Caiola

Since Specialization
Citations

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

Fields of papers citing papers by Stefania Caiola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000107
2 1981101
3 199570
4 201948
5 201037
6 199632
7 198130
8 200530
9 198230
10 198325
11 198811
12 19929
13 19909
14 19989
15 20127
16 19967
17 19927
18 19956
19 20036
20 19825

About Stefania Caiola

Stefania Caiola is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Molecular Biology, Behavioral Neuroscience and Physiology, having authored 31 papers that have together received 613 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Hormonal and reproductive studies (5 papers), Neuropeptides and Animal Physiology (4 papers), Adipose Tissue and Metabolism (3 papers), Diabetes Treatment and Management (3 papers), Sexual Differentiation and Disorders (3 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers). The work is most often cited by research in Gastroenterology (99 citations), Reproductive Medicine (65 citations), Health, Toxicology and Mutagenesis (97 citations), Endocrinology, Diabetes and Metabolism (106 citations) and Behavioral Neuroscience (19 citations). Stefania Caiola has collaborated with scholars based in Italy and United States. Frequent co-authors include Vincenzo Toscano, Rita Petrucci, G. Battistuzzi, Angela Maria Buongiorno, Paolo Sbraccia, Andrea Giaccari, Francesco Sciarra, Frida Leonetti, Elisa Petrangeli and L. Morviducci. Their work appears in journals such as Diabetologia, Mutagenesis, Journal of Endocrinology, The American Journal of Cardiology and Nutritional Neuroscience.

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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