Daniela Foti

141 papers receiving 4.8k citations

Daniela Foti's Hit Papers

Gestational diabetes mellitus: an updated overview 2017 · 380 citations
3800+4+9Years since publication100200300400

Peers

Daniela Foti
Comparison fields: 5 of 137
  • Obstetrics and Gynecology 694
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Cancer Research 796
  • Physiology 774
  • Molecular Biology 1.8k
Replace Adam Krętowski with:
Adam Krętowski Poland
Mark O. Goodarzi United States
Kari Punnonen Finland
Simonetta Friso Italy
Michael M. Hoffmann Germany
Michael J. Bennett United States
Stavroula Α. Paschou Greece
Karina Braga Gomes Brazil
Xing Li Wang United States
Zsuzsanna K. Zsengellér United States
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Citations per field
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Adam Krętowski · 1×
Citations per year

Countries citing papers authored by Daniela Foti

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Foti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Insulin Resistance and Cancer Risk: An Overview of the Pathogenetic Mechanisms
Hit paper breakdown →
2012433
2
Gestational diabetes mellitus: an updated overview
Hit paper breakdown →
2017380
3 2018267
4 2020183
5 2005173
6 2021123
7 2003111
8 2017109
9 202195
10 201493
11 201093
12 200184
13 201780
14 201868
15 201468
16 202065
17 201465
18 200962
19 201561
20 198761

About Daniela Foti

Daniela Foti is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Physiology and Cancer Research, having authored 145 papers that have together received 4.9k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (18 papers), Thyroid Disorders and Treatments (16 papers), Gestational Diabetes Research and Management (14 papers), Cancer-related molecular mechanisms research (14 papers), Pregnancy and preeclampsia studies (13 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers), RNA Research and Splicing (11 papers) and Genomics and Chromatin Dynamics (11 papers). The work is most often cited by research in Obstetrics and Gynecology (694 citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Cancer Research (796 citations), Physiology (774 citations) and Molecular Biology (1.8k citations). Daniela Foti has collaborated with scholars based in Italy, United States and Greece. Frequent co-authors include Antonio Brunetti, Eusebio Chiefari, Biagio Arcidiacono, Marta Greco, Elio Gulletta, Maria Mirabelli, Stefania Iiritano, Valeria Ventura, Aurora Nocera and Francesco Brunetti. Their work appears in journals such as Frontiers in Endocrinology, Journal of Clinical Medicine, Nutrients, International Journal of Environmental Research and Public Health and Endocrinology.

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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