Elsa Ávila Arreguin

21 total papers · 557 total citations
15 papers, 416 citations indexed

About

Elsa Ávila Arreguin is a scholar working on Physiology, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Elsa Ávila Arreguin has authored 15 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 9 papers in Molecular Biology and 8 papers in Organic Chemistry. Recurrent topics in Elsa Ávila Arreguin's work include Lysosomal Storage Disorders Research (15 papers), Carbohydrate Chemistry and Synthesis (8 papers) and Glycosylation and Glycoproteins Research (7 papers). Elsa Ávila Arreguin is often cited by papers focused on Lysosomal Storage Disorders Research (15 papers), Carbohydrate Chemistry and Synthesis (8 papers) and Glycosylation and Glycoproteins Research (7 papers). Elsa Ávila Arreguin collaborates with scholars based in Mexico, Israel and Argentina. Elsa Ávila Arreguin's co-authors include Hanna Rosenbaum, Marta Dragosky, Elena Lukina, Nora Watman, Ana Cristina Puga, Gregory M. Pastores, Michel Peterschmitt, Daniel I. Rosenthal, Mici Phillips and Marcelo Iastrebner and has published in prestigious journals such as Blood, American Journal of Hematology and Molecular Genetics and Metabolism.

In The Last Decade

Elsa Ávila Arreguin

14 papers receiving 399 citations

Author Peers

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

Author Last Decade Papers Cites
Elsa Ávila Arreguin 394 188 185 164 135 15 416
Sebastiaan J.M. Gaemers 419 1.1× 201 1.1× 190 1.0× 162 1.0× 148 1.1× 21 488
René Heitner 305 0.8× 143 0.8× 170 0.9× 138 0.8× 107 0.8× 12 384
Deborah Elstein 407 1.0× 159 0.8× 140 0.8× 200 1.2× 145 1.1× 31 472
Karen Ghauharali 356 0.9× 118 0.6× 179 1.0× 176 1.1× 262 1.9× 8 484
Linda Berná 358 0.9× 150 0.8× 96 0.5× 106 0.6× 134 1.0× 11 417
Isaac Kisinovsky 338 0.9× 122 0.6× 94 0.5× 126 0.8× 97 0.7× 17 380
Mario A. Cabrera-Salazar 323 0.8× 99 0.5× 69 0.4× 155 0.9× 168 1.2× 11 395
GM Pastores 429 1.1× 216 1.1× 156 0.8× 153 0.9× 138 1.0× 14 489
Karen M. Ashe 307 0.8× 122 0.6× 87 0.5× 122 0.7× 151 1.1× 9 387
Isaura Ribeiro 340 0.9× 135 0.7× 117 0.6× 96 0.6× 87 0.6× 16 432

Countries citing papers authored by Elsa Ávila Arreguin

Since Specialization
Citations

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

Fields of papers citing papers by Elsa Ávila Arreguin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elsa Ávila Arreguin. 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 Elsa Ávila Arreguin. The network helps show where Elsa Ávila Arreguin may publish in the future.

Co-authorship network of co-authors of Elsa Ávila Arreguin

This figure shows the co-authorship network connecting the top 25 collaborators of Elsa Ávila Arreguin. A scholar is included among the top collaborators of Elsa Ávila Arreguin 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 Elsa Ávila Arreguin. Elsa Ávila Arreguin 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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