Renzo Cordera

4.0k citations
116 papers · 2.6k · h-index 32

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 43
    • Protein Kinase Regulation and GTPase Signaling 11
    • Pancreatic function and diabetes 28
    • Bariatric Surgery and Outcomes 19

Renzo Cordera

115 papers receiving 2.5k citations

Peers

Renzo Cordera
Comparison fields: 5 of 118
  • Endocrinology, Diabetes and Metabolism 687
  • Endocrine and Autonomic Systems 255
  • Physiology 670
  • Surgery 834
  • Molecular Biology 1.1k
Replace Sayuko Kobes with:
Sayuko Kobes United States
Michael Bryer‐Ash United States
Akihiko Taguchi Japan
Marc Slawik Germany
Amélie Bonnefond France
Koshi Hashimoto Japan
Keizo Ohnaka Japan
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Citations per field
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Citations per year

Countries citing papers authored by Renzo Cordera

Since Specialization
Citations

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

Fields of papers citing papers by Renzo Cordera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996102
2 2013101
3 201497
4 198590
5 199089
6 201176
7 201171
8 201164
9 200761
10 200058
11
Phenotypic expression of familial hypobetalipoproteinemia in three kindreds with mutations of apolipoprotein B gene.
200152
12 200851
13 200150
14 199349
15 200447
16 201546
17 200246
18 199944
19 200643
20 200342

About Renzo Cordera

Renzo Cordera is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Physiology and Cardiology and Cardiovascular Medicine, having authored 116 papers that have together received 2.6k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (43 papers), Pancreatic function and diabetes (28 papers), Bariatric Surgery and Outcomes (19 papers), Diabetes Treatment and Management (16 papers), Diet and metabolism studies (13 papers), Diabetes Management and Research (12 papers), Caveolin-1 and cellular processes (12 papers) and Protein Kinase Regulation and GTPase Signaling (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (687 citations), Endocrine and Autonomic Systems (255 citations), Physiology (670 citations), Surgery (834 citations) and Molecular Biology (1.1k citations). Renzo Cordera has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Davide Maggi, Gabriella Andraghetti, Barbara Salani, L. Briatore, Nicola Scopinaro, Gian Franco Adami, Giovanni Camerini, Gary R. Freidenberg, Jerrold M. Olefsky and Harald Klein. Their work appears in journals such as Biochemical and Biophysical Research Communications, Obesity Surgery, Nutrition Metabolism and Cardiovascular Diseases, Endocrinology and Obesity.

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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