Guillermo Lay‐Son

48 total papers · 550 total citations
23 papers, 238 citations indexed

About

Guillermo Lay‐Son is a scholar working on Genetics, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Guillermo Lay‐Son has authored 23 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 8 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Guillermo Lay‐Son's work include Genomic variations and chromosomal abnormalities (6 papers), Congenital heart defects research (5 papers) and Genomics and Rare Diseases (3 papers). Guillermo Lay‐Son is often cited by papers focused on Genomic variations and chromosomal abnormalities (6 papers), Congenital heart defects research (5 papers) and Genomics and Rare Diseases (3 papers). Guillermo Lay‐Son collaborates with scholars based in Chile, United States and United Kingdom. Guillermo Lay‐Son's co-authors include Gabriela M. Repetto, Cecilia Vial, Patricia Álvarez, Sandra Ampuero, Mario Bustamante, Lilian Jara, José M. Reyes, Rafael Blanco, Iris Delgado and Victor D. Martínez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and BMJ Open.

In The Last Decade

Guillermo Lay‐Son

21 papers receiving 233 citations

Author Peers

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

Author						Papers	Cites
Guillermo Lay‐Son	134	128	53	42	38	23	238
Sarah Varghese	116 0.9×	111 0.9×	63 1.2×	44 1.0×	33 0.9×	21	311
Simonetta Rosato	122 0.9×	145 1.1×	38 0.7×	20 0.5×	37 1.0×	27	267
Miki Miura	69 0.5×	100 0.8×	51 1.0×	38 0.9×	101 2.7×	28	330
Charlotte Kvist Lautrup	99 0.7×	85 0.7×	29 0.5×	27 0.6×	40 1.1×	20	240
Natalie Deuitch	68 0.5×	147 1.1×	23 0.4×	26 0.6×	27 0.7×	22	317
Sophie H. Chung	68 0.5×	115 0.9×	52 1.0×	31 0.7×	101 2.7×	30	306
Yoshitsugu Sugio	120 0.9×	108 0.8×	34 0.6×	27 0.6×	58 1.5×	20	257
Maria Gnazzo	178 1.3×	137 1.1×	29 0.5×	32 0.8×	30 0.8×	26	300
Rita Bertalan	139 1.0×	185 1.4×	18 0.3×	20 0.5×	42 1.1×	23	326
Melissa A. Richard	94 0.7×	175 1.4×	15 0.3×	29 0.7×	25 0.7×	27	307

Countries citing papers authored by Guillermo Lay‐Son

Since Specialization

Citations

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

Fields of papers citing papers by Guillermo Lay‐Son

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guillermo Lay‐Son. 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 Guillermo Lay‐Son. The network helps show where Guillermo Lay‐Son may publish in the future.

Co-authorship network of co-authors of Guillermo Lay‐Son

This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Lay‐Son. A scholar is included among the top collaborators of Guillermo Lay‐Son 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 Guillermo Lay‐Son. Guillermo Lay‐Son 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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