Sergio Villicaña

548 total citations
10 papers, 229 citations indexed

About

Sergio Villicaña is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Sergio Villicaña has authored 10 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Sergio Villicaña's work include Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (2 papers) and Genetic Associations and Epidemiology (2 papers). Sergio Villicaña is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (2 papers) and Genetic Associations and Epidemiology (2 papers). Sergio Villicaña collaborates with scholars based in United Kingdom, United States and Mexico. Sergio Villicaña's co-authors include Jordana T. Bell, Stephen Taylor, S J Shacks, Susana Martiñón, J. Olivares, Christopher Power, Diana Kuh, Matthew Suderman, Rebecca Hardy and Caroline L. Relton and has published in prestigious journals such as Nature Communications, The American Journal of Human Genetics and Genome biology.

In The Last Decade

Sergio Villicaña

7 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sergio Villicaña United Kingdom	6	133	57	29	25	23	10	229
Jacqui White United Kingdom	9	188 1.4×	42 0.7×	15 0.5×	49 2.0×	10 0.4×	17	321
Stuti Mehta United States	8	172 1.3×	97 1.7×	25 0.9×	42 1.7×	49 2.1×	12	292
Masood Bazrgar Iran	9	89 0.7×	67 1.2×	23 0.8×	28 1.1×	12 0.5×	26	293
Annie Levy‐Mozziconacci France	10	113 0.8×	36 0.6×	10 0.3×	31 1.2×	56 2.4×	16	248
A. Ibarra Colombia	7	105 0.8×	111 1.9×	8 0.3×	22 0.9×	19 0.8×	21	265
Joseph Cabral United States	4	99 0.7×	67 1.2×	10 0.3×	102 4.1×	12 0.5×	4	296
Ronald F. Carter Canada	8	104 0.8×	99 1.7×	13 0.4×	17 0.7×	25 1.1×	17	247
Ran Gao China	8	255 1.9×	54 0.9×	6 0.2×	21 0.8×	73 3.2×	33	341
Neha Bhatnagar United Kingdom	7	38 0.3×	29 0.5×	33 1.1×	20 0.8×	14 0.6×	21	219

Countries citing papers authored by Sergio Villicaña

Since Specialization

Citations

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

Fields of papers citing papers by Sergio Villicaña

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Villicaña

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

All Works

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10 of 10 papers shown

Villicaña, Sergio, et al.. (2026). Genetic regulation of fatty acid content in adipose tissue. The American Journal of Human Genetics. 113(2). 291–308.

Heikkinen, Aino, Sara Lundgren, Antti Hakkarainen, et al.. (2025). Twin pair analysis uncovers links between DNA methylation, mitochondrial DNA quantity and obesity. Nature Communications. 16(1). 4374–4374.

Villicaña, Sergio, Julia S. El-Sayed Moustafa, Amy L. Roberts, et al.. (2024). Genetic effects on the skin methylome in healthy older twins. The American Journal of Human Genetics. 111(9). 1932–1952.

Villicaña, Sergio, Juan Castillo‐Fernandez, Eilís Hannon, et al.. (2023). Genetic impacts on DNA methylation help elucidate regulatory genomic processes. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Villicaña, Sergio, Juan Castillo‐Fernandez, Eilís Hannon, et al.. (2023). Genetic impacts on DNA methylation help elucidate regulatory genomic processes. Genome biology. 24(1). 176–176. 27 indexed citations

Villicaña, Sergio & Jordana T. Bell. (2021). Genetic impacts on DNA methylation: research findings and future perspectives. Genome biology. 22(1). 127–127. 132 indexed citations

González-Covarrubias, Vanessa, Sergio Villicaña, Mauricio Rodríguez‐Dorantes, et al.. (2021). Transporters, TBC1D4, and ARID5B Variants to Explain Glycated Hemoglobin Variability in Patients with Type 2 Diabetes. Pharmacology. 106(11-12). 588–596. 7 indexed citations

Martiñón, Susana, et al.. (2019). Chemical and Immunological Characteristics of Aluminum-Based, Oil-Water Emulsion, and Bacterial-Origin Adjuvants. Journal of Immunology Research. 2019. 1–9. 31 indexed citations

Taylor, Stephen, et al.. (1991). Lymphocyte Blastogenic Responses in Sickle Cell Disease. Immunological Investigations. 20(7). 645–655. 7 indexed citations

10.

Taylor, Stephen, et al.. (1990). Interferon production in sickle cell disease.. PubMed. 9(3). 415–23. 24 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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