C.G. Vinagre

77 total papers · 915 total citations
33 papers, 633 citations indexed

About

C.G. Vinagre is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, C.G. Vinagre has authored 33 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 13 papers in Surgery and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in C.G. Vinagre's work include Lipoproteins and Cardiovascular Health (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Lipid metabolism and disorders (5 papers). C.G. Vinagre is often cited by papers focused on Lipoproteins and Cardiovascular Health (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Lipid metabolism and disorders (5 papers). C.G. Vinagre collaborates with scholars based in Brazil, Portugal and United States. C.G. Vinagre's co-authors include Raul Cavalcante Maranhão, Eloísa Bonfá, Eduardo Ferreira Borba, José Antônio Franchini Ramires, Raúl D. Santos, C.H. Mesquita, Fúlvio Pileggi, Vanessa M. Silva, W Cossermelli and Andrei C. Spósito and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Journal of Applied Physiology.

In The Last Decade

C.G. Vinagre

31 papers receiving 612 citations

Author Peers

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

Author						Papers	Cites
C.G. Vinagre	198	172	168	151	135	33	633
Sílvia Paredes	202 1.0×	105 0.6×	89 0.5×	121 0.8×	74 0.5×	43	611
F Rassoul	118 0.6×	83 0.5×	136 0.8×	80 0.5×	155 1.1×	36	665
Yuko Tominaga	80 0.4×	233 1.4×	139 0.8×	117 0.8×	147 1.1×	20	717
Guangda Xiang	59 0.3×	188 1.1×	95 0.6×	88 0.6×	102 0.8×	34	624
Miao Yang	107 0.5×	71 0.4×	64 0.4×	127 0.8×	159 1.2×	44	765
Hala M. Raslan	134 0.7×	77 0.4×	53 0.3×	60 0.4×	81 0.6×	47	614
Waldemar Radziszewski	142 0.7×	50 0.3×	65 0.4×	131 0.9×	178 1.3×	30	620
Maria Grazia Zenti	45 0.2×	226 1.3×	189 1.1×	95 0.6×	97 0.7×	26	680
Leonardo Gómez Rosso	58 0.3×	196 1.1×	135 0.8×	57 0.4×	67 0.5×	39	563
Alessio Metere	57 0.3×	141 0.8×	144 0.9×	67 0.4×	128 0.9×	34	729

Countries citing papers authored by C.G. Vinagre

Since Specialization

Citations

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

Fields of papers citing papers by C.G. Vinagre

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.G. Vinagre. 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 C.G. Vinagre. The network helps show where C.G. Vinagre may publish in the future.

Co-authorship network of co-authors of C.G. Vinagre

This figure shows the co-authorship network connecting the top 25 collaborators of C.G. Vinagre. A scholar is included among the top collaborators of C.G. Vinagre 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 C.G. Vinagre. C.G. Vinagre 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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