Corina Rosales

83 total papers · 794 total citations
32 papers, 592 citations indexed

About

Corina Rosales is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Corina Rosales has authored 32 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Endocrinology, Diabetes and Metabolism, 19 papers in Surgery and 10 papers in Molecular Biology. Recurrent topics in Corina Rosales's work include Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers), Cholesterol and Lipid Metabolism (13 papers) and Lipoproteins and Cardiovascular Health (9 papers). Corina Rosales is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers), Cholesterol and Lipid Metabolism (13 papers) and Lipoproteins and Cardiovascular Health (9 papers). Corina Rosales collaborates with scholars based in United States, China and Spain. Corina Rosales's co-authors include Henry J. Pownall, Baiba K. Gillard, Antonio M. Gotto, Bingqing Xu, Harry S. Courtney, Stephen J. Elledge, Melissa B. Aldrich, Phillip B. Carpenter, Rodney E. Kellems and Bin Wang and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Corina Rosales

32 papers receiving 585 citations

Hit Papers

High-density lipoproteins... 2021 2026 2022 2024 2021 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Corina Rosales 264 235 202 124 99 32 592
Mathieu R. Brodeur 193 0.7× 238 1.0× 123 0.6× 100 0.8× 63 0.6× 27 575
Dong‐Feng Wu 185 0.7× 292 1.2× 186 0.9× 82 0.7× 41 0.4× 39 682
Louise Falstrault 270 1.0× 250 1.1× 98 0.5× 118 1.0× 76 0.8× 24 537
M Ayrault-Jarrier 172 0.7× 187 0.8× 178 0.9× 102 0.8× 35 0.4× 44 506
Koichi Inano 181 0.7× 191 0.8× 210 1.0× 63 0.5× 30 0.3× 26 564
Eva Zsigmond 277 1.0× 166 0.7× 64 0.3× 56 0.5× 93 0.9× 21 673
Jae Kim 228 0.9× 127 0.5× 98 0.5× 51 0.4× 152 1.5× 24 642
Ángela Vinué 239 0.9× 150 0.6× 157 0.8× 70 0.6× 42 0.4× 24 639
Yinghong Zhu 353 1.3× 78 0.3× 83 0.4× 113 0.9× 127 1.3× 33 667
Dong‐Ju Shin 354 1.3× 162 0.7× 61 0.3× 203 1.6× 100 1.0× 25 692

Countries citing papers authored by Corina Rosales

Since Specialization
Citations

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

Fields of papers citing papers by Corina Rosales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Corina Rosales

This figure shows the co-authorship network connecting the top 25 collaborators of Corina Rosales. A scholar is included among the top collaborators of Corina Rosales based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Corina Rosales. Corina Rosales is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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