Matteo Pedrelli

38 papers receiving 807 citations

Peers

Matteo Pedrelli
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 143
  • Endocrine and Autonomic Systems 55
  • Biochemistry 51
  • Cancer Research 87
  • Surgery 233
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Claudie Pinteur France
Junko Kawahara Japan
David Hauton United Kingdom
Alison B. Kohan United States
Dan D. Petersen United States
Frédéric Guénard Canada
Jolita Čiapaitė Netherlands
Christine A. Doucette Canada
Mengyin Cai China
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Citations per year

Countries citing papers authored by Matteo Pedrelli

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Pedrelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201589
2 200863
3 201061
4 200854
5 202151
6 201045
7 202143
8 201141
9 201832
10 201031
11 201928
12 202427
13 201226
14 201926
15 201425
16 202220
17 202419
18
Soat2 ties cholesterol metabolism to β-oxidation and glucose tolerance in male mice
202217
19 202017
20 202015

About Matteo Pedrelli

Matteo Pedrelli is a scholar working on Surgery, Molecular Biology, Epidemiology, Biochemistry and Oncology, having authored 41 papers that have together received 823 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (11 papers), Lipid metabolism and biosynthesis (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Adipose Tissue and Metabolism (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Cancer, Lipids, and Metabolism (3 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (143 citations), Endocrine and Autonomic Systems (55 citations), Biochemistry (51 citations), Cancer Research (87 citations) and Surgery (233 citations). Matteo Pedrelli has collaborated with scholars based in Sweden, Italy and United States. Frequent co-authors include Paolo Parini, Camilla Pramfalk, Laura Calabresi, Franco Bernini, Eva Hurt‐Camejo, Davide Gnocchi, Ilaria Zanotti, Jan-Ακε Gustafsson, Francesco Potì and Marion Korach-André. Their work appears in journals such as PLoS ONE, Atherosclerosis, Journal of Lipid Research, Arteriosclerosis Thrombosis and Vascular Biology and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.

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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