Fernando Sánchez

822 total citations
17 papers, 625 citations indexed

About

Fernando Sánchez is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Molecular Medicine. According to data from OpenAlex, Fernando Sánchez has authored 17 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 7 papers in Reproductive Medicine and 6 papers in Molecular Medicine. Recurrent topics in Fernando Sánchez's work include Ovarian function and disorders (7 papers), Reproductive Biology and Fertility (7 papers) and Antibiotic Resistance in Bacteria (6 papers). Fernando Sánchez is often cited by papers focused on Ovarian function and disorders (7 papers), Reproductive Biology and Fertility (7 papers) and Antibiotic Resistance in Bacteria (6 papers). Fernando Sánchez collaborates with scholars based in Chile, United States and Brazil. Fernando Sánchez's co-authors include Bárbara Echiburú, Teresa Sir‐Petermann, Nicolás Crisosto, Ethel Codner, Fernando Cassorla, Manuel Maliqueo, Amanda Ladrón de Guevara, Jessica Preisler, Virginia Pérez and Manuel Maliqueo and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Fertility and Sterility and Metabolism.

In The Last Decade

Fernando Sánchez

17 papers receiving 614 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fernando Sánchez Chile 11 417 318 99 95 75 17 625
Amr Wahba Egypt 9 91 0.2× 77 0.2× 6 0.1× 33 0.3× 94 1.3× 28 393
Anna Szumała-Kąkol Poland 11 254 0.6× 191 0.6× 11 0.1× 10 0.1× 35 0.5× 16 421
Deborah De Geyter Belgium 13 19 0.0× 41 0.1× 18 0.2× 22 0.2× 105 1.4× 36 502
Agnieszka M. Wiklendt Australia 10 138 0.3× 152 0.5× 5 0.1× 42 0.4× 75 1.0× 11 555
Sen Han Phang Canada 6 60 0.1× 88 0.3× 8 0.1× 16 0.2× 49 0.7× 10 346
Liwen Xiao China 9 40 0.1× 33 0.1× 6 0.1× 34 0.4× 255 3.4× 15 436
Rina Das Bangladesh 12 25 0.1× 19 0.1× 75 0.8× 24 0.3× 138 1.8× 39 423
Bruna Neroni Italy 9 35 0.1× 40 0.1× 9 0.1× 5 0.1× 277 3.7× 12 501
A. Martín Argentina 14 67 0.2× 77 0.2× 11 0.1× 21 0.2× 55 0.7× 54 632
Giulia Bonfiglio Italy 8 34 0.1× 35 0.1× 8 0.1× 3 0.0× 241 3.2× 11 436

Countries citing papers authored by Fernando Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Sánchez

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Sánchez. A scholar is included among the top collaborators of Fernando Sánchez 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 Fernando Sánchez. Fernando Sánchez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
2.
Arriagada, Gabriel, Nicolás Galarce, Fernando Sánchez, et al.. (2024). A preliminary report on critical antimicrobial resistance in Escherichia coli, Enterococcus faecalis, and Enterococcus faecium strains isolated from healthy dogs in Chile during 2021-2022. Preventive Veterinary Medicine. 224. 106139–106139. 1 indexed citations
3.
Galarce, Nicolás, Gabriel Arriagada, Fernando Sánchez, et al.. (2023). Phenotypic and genotypic antimicrobial resistance in Escherichia coli strains isolated from household dogs in Chile. Frontiers in Veterinary Science. 10. 1233127–1233127. 7 indexed citations
4.
Galarce, Nicolás, Fernando Sánchez, Beatriz Escobar, et al.. (2021). Genomic Epidemiology of Shiga Toxin-Producing Escherichia coli Isolated from the Livestock-Food-Human Interface in South America. Animals. 11(7). 1845–1845. 16 indexed citations
5.
6.
Sánchez, Fernando, Beatriz Escobar, Víctor Neira, et al.. (2021). Genomic features and antimicrobial resistance patterns of Shiga toxin‐producing Escherichia coli strains isolated from food in Chile. Zoonoses and Public Health. 68(3). 226–238. 10 indexed citations
7.
Sánchez, Fernando, Beatriz Escobar, Nicolás Galarce, et al.. (2021). Antimicrobial Usage Factors and Resistance Profiles of Shiga Toxin-Producing Escherichia coli in Backyard Production Systems From Central Chile. Frontiers in Veterinary Science. 7. 595149–595149. 8 indexed citations
8.
9.
Galarce, Nicolás, Fernando Sánchez, Beatriz Escobar, et al.. (2020). Phenotypic and Genotypic Antimicrobial Resistance in Non-O157 Shiga Toxin-Producing Escherichia coli Isolated From Cattle and Swine in Chile. Frontiers in Veterinary Science. 7. 367–367. 15 indexed citations
10.
Galarce, Nicolás, Beatriz Escobar, Fernando Sánchez, et al.. (2019). Virulence Genes, Shiga Toxin Subtypes, Serogroups, and Clonal Relationship of Shiga Toxin-Producing Escherichia Coli Strains Isolated from Livestock and Companion Animals. Animals. 9(10). 733–733. 14 indexed citations
11.
Sir‐Petermann, Teresa, Amanda Ladrón de Guevara, Ethel Codner, et al.. (2012). Relationship Between Anti-Müllerian Hormone (AMH) and Insulin Levels During Different Tanner Stages in Daughters of Women With Polycystic Ovary Syndrome. Reproductive Sciences. 19(4). 383–390. 45 indexed citations
12.
Crisosto, Nicolás, Bárbara Echiburú, Manuel Maliqueo, et al.. (2011). Improvement of hyperandrogenism and hyperinsulinemia during pregnancy in women with polycystic ovary syndrome: possible effect in the ovarian follicular mass of their daughters. Fertility and Sterility. 97(1). 218–224. 51 indexed citations
13.
Sir‐Petermann, Teresa, Ethel Codner, Virginia Pérez, et al.. (2009). Metabolic and Reproductive Features before and during Puberty in Daughters of Women with Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. 94(6). 1923–1930. 204 indexed citations
14.
Echiburú, Bárbara, Francisco Pérez‐Bravo, Manuel Maliqueo, et al.. (2008). Polymorphism T → C (−34 base pairs) of gene CYP17 promoter in women with polycystic ovary syndrome is associated with increased body weight and insulin resistance: a preliminary study. Metabolism. 57(12). 1765–1771. 44 indexed citations
15.
Maliqueo, Manuel, Bárbara Echiburú, Nicolás Crisosto, et al.. (2008). Metabolic parameters in cord blood of newborns of women with polycystic ovary syndrome. Fertility and Sterility. 92(1). 277–282. 26 indexed citations
16.
Echiburú, Bárbara, et al.. (2007). Síndrome de ovario poliquístico (SOP) y embarazo: Experiencia clínica. Revista médica de Chile. 135(12). 1530–8. 4 indexed citations
17.
Crisosto, Nicolás, Ethel Codner, Manuel Maliqueo, et al.. (2007). Anti-Mullerian Hormone Levels in Peripubertal Daughters of Women with Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. 92(7). 2739–2743. 112 indexed citations

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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