Francesca Piccinini

1.5k citations
34 papers · 804 · h-index 18

Impact in

Papers in

Francesca Piccinini

32 papers receiving 791 citations

Peers

Francesca Piccinini
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 278
  • Endocrine and Autonomic Systems 88
  • Physiology 156
  • Surgery 233
  • Behavioral Neuroscience 14
Replace Raúl A. Bastarrachea with:
Raúl A. Bastarrachea United States
Sarita Naik United States
B. Billaudel France
C.W. James Melling Canada
Priyesh N. Patel United States
M. Hotta Japan
Christiane Becari Brazil
Carla Cogo Italy
Astrid Chamson-Reig Canada
Ryo Oikawa Japan
Francesca Piccinini relative to Raúl A. Bastarrachea United States Raúl A. Bastarrachea's profile →
Citations per field
00.5×3.7×
Raúl A. Bastarrachea · 1×
Citations per year

Countries citing papers authored by Francesca Piccinini

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Piccinini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201270
2 201969
3 201761
4 201657
5 202049
6 201546
7 201742
8 201540
9 201839
10 201438
11 201830
12 201323
13 201322
14 201822
15 201520
16 201017
17 201517
18 201917
19 201315
20 201414

About Francesca Piccinini

Francesca Piccinini is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology and Endocrine and Autonomic Systems, having authored 34 papers that have together received 804 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Diabetes Treatment and Management (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Bariatric Surgery and Outcomes (3 papers), Diabetes and associated disorders (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (278 citations), Endocrine and Autonomic Systems (88 citations), Physiology (156 citations), Surgery (233 citations) and Behavioral Neuroscience (14 citations). Francesca Piccinini has collaborated with scholars based in United States, Italy and Brazil. Frequent co-authors include Richard N. Bergman, Claudio Cobelli, Chiara Dalla Man, Adrian Vella, Robert A. Rizza, Barbara A. Gower, David Polidori, Morvarid Kabir, Marilyn Ader and Cathryn M. Kolka. Their work appears in journals such as Diabetes, Diabetes Care, Diabetes Obesity and Metabolism, American Journal of Physiology-Endocrinology and Metabolism and Journal of Nutrition.

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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