Chiara Pavanello

2.0k citations
61 papers · 883 · h-index 19

Impact in

Papers in

Chiara Pavanello

57 papers receiving 863 citations

Peers

Chiara Pavanello
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 200
  • Surgery 314
  • Cancer Research 91
  • Nephrology 35
  • Cardiology and Cardiovascular Medicine 80
Replace Meliana Riwanto with:
Meliana Riwanto Switzerland
Xuemei Gu China
Ornella Guardamagna Italy
Yasuhiko Homma Japan
Xiaobo Lin United States
Ivana Vrhovac Croatia
Ana-Bárbara García-García Spain
Kezhen Shen China
François Briand France
Chiara Pavanello relative to Meliana Riwanto Switzerland Meliana Riwanto's profile →
Citations per field
00.5×3.2×
Meliana Riwanto · 1×
Citations per year

Countries citing papers authored by Chiara Pavanello

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Pavanello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201376
2 201653
3 201948
4 201846
5 201643
6 201838
7 202036
8 202036
9 201430
10 201930
11 201927
12 201726
13 202025
14 201922
15 201422
16 201722
17 202120
18 202020
19 202319
20 201718

About Chiara Pavanello

Chiara Pavanello is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology and Cancer Research, having authored 61 papers that have together received 883 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (21 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Cholesterol and Lipid Metabolism (8 papers), Cancer, Lipids, and Metabolism (5 papers), Lysosomal Storage Disorders Research (4 papers), Microbial Metabolism and Applications (4 papers), Chronic Kidney Disease and Diabetes (3 papers) and Lipid metabolism and biosynthesis (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (200 citations), Surgery (314 citations), Cancer Research (91 citations), Nephrology (35 citations) and Cardiology and Cardiovascular Medicine (80 citations). Chiara Pavanello has collaborated with scholars based in Italy, Sweden and Netherlands. Frequent co-authors include Laura Calabresi, Cesare R. Sirtori, Alice Ossoli, Massimiliano Ruscica, Giuliana Mombelli, Monica Gomaraschi, Paolo Magni, Raffaella Bosisio, Chiara Macchi and Anna Arnoldi. Their work appears in journals such as Atherosclerosis, Journal of Lipid Research, Journal of clinical lipidology, Annals of Medicine and PLoS ONE.

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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