Sara Simonelli

1.2k citations
30 papers · 1.0k · h-index 17

Impact in

Papers in

Sara Simonelli

30 papers receiving 990 citations

Peers

Sara Simonelli
Comparison fields: 5 of 75
  • Endocrinology, Diabetes and Metabolism 386
  • Cancer Research 167
  • Surgery 450
  • Cardiology and Cardiovascular Medicine 212
  • Nephrology 50
Replace Debapriya Basu with:
Debapriya Basu United States
Miriam Lee‐Rueckert Finland
Sanja Ćurčić Austria
Mathieu R. Brodeur Canada
Sverker Ericsson Sweden
Anders Bröijersén Sweden
Kristina Skålén Sweden
Muhidien Soufi Germany
Bun-ichiro Kishino Japan
Patti Polinsky United States
Sara Simonelli relative to Debapriya Basu United States Debapriya Basu's profile →
Citations per field
00.5×1.5×2×2.4×
Debapriya Basu · 1×
Citations per year

Countries citing papers authored by Sara Simonelli

Since Specialization
Citations

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

Fields of papers citing papers by Sara Simonelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009118
2 2011113
3 201194
4 201564
5 201463
6 201862
7 201456
8 201950
9 201145
10 201943
11 201337
12 201627
13 202027
14 201326
15 201825
16 201718
17 201117
18 201217
19 201817
20 201814

About Sara Simonelli

Sara Simonelli is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cancer Research, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Lipoproteins and Cardiovascular Health (11 papers), Cholesterol and Lipid Metabolism (11 papers), Cancer, Lipids, and Metabolism (6 papers), Lipid metabolism and disorders (3 papers), Biomedical Research and Pathophysiology (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Lipid metabolism and biosynthesis (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (386 citations), Cancer Research (167 citations), Surgery (450 citations), Cardiology and Cardiovascular Medicine (212 citations) and Nephrology (50 citations). Sara Simonelli has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Laura Calabresi, Guido Franceschini, Monica Gomaraschi, Franco Bernini, Alice Ossoli, Maria Pia Adorni, Elda Favari, Wendy Jessup, Fabrizio Veglia and Cecilia Vitali. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Journal of clinical lipidology, Atherosclerosis, Journal of Lipid Research and Biologicals.

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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