Alfonso Gil-Sánchez

858 total citations
7 papers, 614 citations indexed

About

Alfonso Gil-Sánchez is a scholar working on Nutrition and Dietetics, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, Alfonso Gil-Sánchez has authored 7 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nutrition and Dietetics, 4 papers in Pediatrics, Perinatology and Child Health and 4 papers in Obstetrics and Gynecology. Recurrent topics in Alfonso Gil-Sánchez's work include Fatty Acid Research and Health (6 papers), Birth, Development, and Health (4 papers) and Gestational Diabetes Research and Management (3 papers). Alfonso Gil-Sánchez is often cited by papers focused on Fatty Acid Research and Health (6 papers), Birth, Development, and Health (4 papers) and Gestational Diabetes Research and Management (3 papers). Alfonso Gil-Sánchez collaborates with scholars based in Spain and Germany. Alfonso Gil-Sánchez's co-authors include Berthold Koletzko, Elvira Larqué, María T. Prieto‐Sánchez, Hans Demmelmair, Juan José Parrilla, José Eliseo Blanco‐Carnero, Ana Pagán, Maribel Acién, Salvador Zamora and Ibone Olza Fernández and has published in prestigious journals such as American Journal of Clinical Nutrition, American Journal of Physiology-Endocrinology and Metabolism and British Journal Of Nutrition.

In The Last Decade

Alfonso Gil-Sánchez

7 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alfonso Gil-Sánchez Spain 7 383 333 290 83 70 7 614
Yoeju Min United Kingdom 17 251 0.7× 437 1.3× 193 0.7× 69 0.8× 101 1.4× 34 868
Perrie O’Tierney-Ginn United States 13 347 0.9× 125 0.4× 333 1.1× 75 0.9× 77 1.1× 36 534
Daniela Much Germany 18 409 1.1× 401 1.2× 273 0.9× 220 2.7× 152 2.2× 26 835
Melanie S. Reece United States 11 274 0.7× 145 0.4× 306 1.1× 95 1.1× 69 1.0× 13 536
Monique D.M. Al Netherlands 15 618 1.6× 791 2.4× 225 0.8× 128 1.5× 140 2.0× 19 1.1k
Olta Gishti Netherlands 16 348 0.9× 141 0.4× 188 0.6× 243 2.9× 96 1.4× 26 680
Laura M. Breij Netherlands 12 243 0.6× 142 0.4× 53 0.2× 95 1.1× 107 1.5× 17 428
Jocelynn M. Thodosoff United States 8 157 0.4× 240 0.7× 28 0.1× 43 0.5× 34 0.5× 9 303
Wendy Jackson New Zealand 7 468 1.2× 180 0.5× 214 0.7× 125 1.5× 71 1.0× 10 659
Maryamalsadat Razavi Iran 10 83 0.2× 125 0.4× 98 0.3× 110 1.3× 38 0.5× 13 503

Countries citing papers authored by Alfonso Gil-Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Alfonso Gil-Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alfonso Gil-Sánchez

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

All Works

7 of 7 papers shown
1.
Fernández, Ibone Olza, Miguel Ángel Marín Gabriel, Alfonso Gil-Sánchez, Luis Miguel García‐Segura, & María‐Ángeles Arévalo. (2014). Neuroendocrinology of childbirth and mother–child attachment: The basis of an etiopathogenic model of perinatal neurobiological disorders. Frontiers in Neuroendocrinology. 35(4). 459–472. 56 indexed citations
2.
Larqué, Elvira, Ana Pagán, María T. Prieto‐Sánchez, et al.. (2014). Placental Fatty Acid Transfer: A Key Factor in Fetal Growth. Annals of Nutrition and Metabolism. 64(3-4). 247–253. 60 indexed citations
3.
Pagán, Ana, María T. Prieto‐Sánchez, José Eliseo Blanco‐Carnero, et al.. (2013). Materno-fetal transfer of docosahexaenoic acid is impaired by gestational diabetes mellitus. American Journal of Physiology-Endocrinology and Metabolism. 305(7). E826–E833. 71 indexed citations
4.
Larqué, Elvira, Alfonso Gil-Sánchez, María T. Prieto‐Sánchez, & Berthold Koletzko. (2012). Omega 3 fatty acids, gestation and pregnancy outcomes. British Journal Of Nutrition. 107(S2). S77–S84. 141 indexed citations
5.
Gil-Sánchez, Alfonso, Berthold Koletzko, & Elvira Larqué. (2012). Current understanding of placental fatty acid transport. Current Opinion in Clinical Nutrition & Metabolic Care. 15(3). 265–272. 73 indexed citations
6.
Larqué, Elvira, Hans Demmelmair, Alfonso Gil-Sánchez, et al.. (2011). Placental transfer of fatty acids and fetal implications. American Journal of Clinical Nutrition. 94(6 Suppl). S1908–S1913. 121 indexed citations
7.
Gil-Sánchez, Alfonso, Elvira Larqué, Hans Demmelmair, et al.. (2010). Maternal-fetal in vivo transfer of [13C]docosahexaenoic and other fatty acids across the human placenta 12 h after maternal oral intake. American Journal of Clinical Nutrition. 92(1). 115–122. 92 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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