Gustavo Frechtel

102 total papers · 3.3k total citations
57 papers, 798 citations indexed

About

Gustavo Frechtel is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology. According to data from OpenAlex, Gustavo Frechtel has authored 57 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 20 papers in Genetics and 15 papers in Molecular Biology. Recurrent topics in Gustavo Frechtel's work include Diabetes and associated disorders (19 papers), Diabetes Management and Research (13 papers) and Pancreatic function and diabetes (11 papers). Gustavo Frechtel is often cited by papers focused on Diabetes and associated disorders (19 papers), Diabetes Management and Research (13 papers) and Pancreatic function and diabetes (11 papers). Gustavo Frechtel collaborates with scholars based in Argentina, Spain and United States. Gustavo Frechtel's co-authors include Gloria Edith Cerrone, Mariano J. Taverna, Nicholas G. Martin, Manuel Serrano‐Ríos, Mirta Schattner, Claudio González, Alberto Penas Steinhardt, Mariana L. Tellechea, Roberto P. Meiss and Soledad Negrotto and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Gustavo Frechtel

51 papers receiving 786 citations

Author Peers

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

Author Last Decade Papers Cites
Gustavo Frechtel 256 231 174 170 150 57 798
T. Bistritzer 180 0.7× 140 0.6× 232 1.3× 110 0.6× 190 1.3× 52 818
Manuela Alonso‐Sampedro 280 1.1× 223 1.0× 134 0.8× 113 0.7× 82 0.5× 51 917
A Piazza 151 0.6× 314 1.4× 92 0.5× 111 0.7× 248 1.7× 70 1.0k
Dumitru Brănișteanu 163 0.6× 225 1.0× 146 0.8× 104 0.6× 92 0.6× 56 1.0k
Feihong Luo 285 1.1× 350 1.5× 301 1.7× 46 0.3× 139 0.9× 88 987
Makoto Anzo 298 1.2× 260 1.1× 147 0.8× 82 0.5× 59 0.4× 35 795
Raymond C. Mellinger 415 1.6× 176 0.8× 95 0.5× 75 0.4× 132 0.9× 51 857
Salvatore Privitera 186 0.7× 137 0.6× 97 0.6× 93 0.5× 149 1.0× 44 945
Anna Kucharská 200 0.8× 315 1.4× 156 0.9× 152 0.9× 81 0.5× 70 950
P Tassoni 455 1.8× 236 1.0× 229 1.3× 106 0.6× 198 1.3× 33 848

Countries citing papers authored by Gustavo Frechtel

Since Specialization
Citations

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

Fields of papers citing papers by Gustavo Frechtel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gustavo Frechtel

This figure shows the co-authorship network connecting the top 25 collaborators of Gustavo Frechtel. A scholar is included among the top collaborators of Gustavo Frechtel 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 Gustavo Frechtel. Gustavo Frechtel 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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