Sonia Dávila

4.2k total citations
22 papers, 859 citations indexed

About

Sonia Dávila is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Sonia Dávila has authored 22 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Sonia Dávila's work include Cancer Genomics and Diagnostics (5 papers), Genomics and Rare Diseases (4 papers) and BRCA gene mutations in cancer (4 papers). Sonia Dávila is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Genomics and Rare Diseases (4 papers) and BRCA gene mutations in cancer (4 papers). Sonia Dávila collaborates with scholars based in Singapore, United States and United Kingdom. Sonia Dávila's co-authors include Qi Qian, Vicente E. Torres, Patrick S. Kamath, Airong Li, Stefan Somlo, Bernard F. King, Martin L. Hibberd, Xin Tian, Laszlo Furu and Sarah Ng and has published in prestigious journals such as Nucleic Acids Research, The Journal of Immunology and PLoS ONE.

In The Last Decade

Sonia Dávila

22 papers receiving 842 citations

Peers

Sonia Dávila
Silviu Grisaru Canada
Mia J. Smith United States
Terri H. Beaty United States
Anissa Sidibé United Kingdom
Periklis Makrythanasis Switzerland
Patricia Hart United States
Jestinah Mahachie John Belgium
Maoxuan Lin United States
Paula S. Ramos United States
Brian Rhees United States
Silviu Grisaru Canada
Sonia Dávila
Citations per year, relative to Sonia Dávila Sonia Dávila (= 1×) peers Silviu Grisaru

Countries citing papers authored by Sonia Dávila

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Dávila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonia Dávila

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

All Works

20 of 20 papers shown
1.
Chan, Choi Mun, Yasmin Bylstra, Kanika Jain, et al.. (2025). Determinants of diagnostic yield in a multi-ethnic Asian inherited retinal disease cohort. European Journal of Human Genetics. 33(12). 1627–1635. 3 indexed citations
2.
Dávila, Sonia, et al.. (2023). LysR-type transcriptional regulators: state of the art. Critical Reviews in Microbiology. 50(5). 598–630. 12 indexed citations
3.
Bylstra, Yasmin, Weng Khong Lim, R. Ryanne Wu, et al.. (2021). Correction to: Family history assessment significantly enhances delivery of precision medicine in the genomics era. Genome Medicine. 13(1). 109–109. 1 indexed citations
4.
Bylstra, Yasmin, Weng Khong Lim, R. Ryanne Wu, et al.. (2021). Family history assessment significantly enhances delivery of precision medicine in the genomics era. Genome Medicine. 13(1). 3–3. 22 indexed citations
5.
Wu, R. Ryanne, Rehena Sultana, Yasmin Bylstra, et al.. (2020). Evaluation of family health history collection methods impact on data and risk assessment outcomes. Preventive Medicine Reports. 18. 101072–101072. 3 indexed citations
6.
Teo, Jing Xian, Sonia Dávila, Chee Jian Pua, et al.. (2019). Digital phenotyping by consumer wearables identifies sleep-associated markers of cardiovascular disease risk and biological aging. Communications Biology. 2(1). 361–361. 39 indexed citations
7.
Bylstra, Yasmin, Sonia Dávila, Weng Khong Lim, et al.. (2019). Implementation of genomics in medical practice to deliver precision medicine for an Asian population. npj Genomic Medicine. 4(1). 12–12. 12 indexed citations
8.
Lu, Jinhua, et al.. (2018). Variation in Genome-Wide NF-κB RELA Binding Sites upon Microbial Stimuli and Identification of a Virus Response Profile. The Journal of Immunology. 201(4). 1295–1305. 13 indexed citations
9.
Ho, Eliza Xin Pei, Chui Ming Gemmy Cheung, Shuzhen Sim, et al.. (2018). Human pharyngeal microbiota in age-related macular degeneration. PLoS ONE. 13(8). e0201768–e0201768. 25 indexed citations
10.
Toh, Ming Ren, Jianbang Chiang, Sock Hoai Chan, et al.. (2018). Germline Pathogenic Variants in Homologous Recombination and DNA Repair Genes in an Asian Cohort of Young-Onset Colorectal Cancer. JNCI Cancer Spectrum. 2(4). pky054–pky054. 22 indexed citations
11.
Aksoy, Irène, Kagistia Hana Utami, Cecilia Lanny Winata, et al.. (2016). Personalized genome sequencing coupled with iPSC technology identifies GTDC1 as a gene involved in neurodevelopmental disorders. Human Molecular Genetics. 26(2). 367–382. 15 indexed citations
12.
Hong, Lewis Z., Toomas Silla, Vikrant Kumar, et al.. (2015). Predictive Factors for BRCA1 and BRCA2 Genetic Testing in an Asian Clinic-Based Population. PLoS ONE. 10(7). e0134408–e0134408. 16 indexed citations
13.
Bellos, Evangelos, Vikrant Kumar, Ching‐Yu Cheng, et al.. (2014). cnvCapSeq: detecting copy number variation in long-range targeted resequencing data. Nucleic Acids Research. 42(20). e158–e158. 8 indexed citations
14.
Silla, Toomas, E Shyong Tai, Liang Kee Goh, et al.. (2014). Allele Frequencies of Variants in Ultra Conserved Elements Identify Selective Pressure on Transcription Factor Binding. PLoS ONE. 9(11). e110692–e110692. 6 indexed citations
15.
Prokudin, Ivan, Cas Simons, John Grigg, et al.. (2013). Exome sequencing in developmental eye disease leads to identification of causal variants in GJA8, CRYGC, PAX6 and CYP1B1. European Journal of Human Genetics. 22(7). 907–915. 52 indexed citations
16.
Burgner, David, Sonia Dávila, Willemijn B. Breunis, et al.. (2009). A Genome-Wide Association Study Identifies Novel and Functionally Related Susceptibility Loci for Kawasaki Disease. PLoS Genetics. 5(1). e1000319–e1000319. 206 indexed citations
17.
Dávila, Sonia & Martin L. Hibberd. (2009). Genome-wide association studies are coming for human infectious diseases. Genome Medicine. 1(2). 19–19. 14 indexed citations
18.
Li, Airong, Sonia Dávila, Laszlo Furu, et al.. (2003). Mutations in PRKCSH Cause Isolated Autosomal Dominant Polycystic Liver Disease. The American Journal of Human Genetics. 72(3). 691–703. 134 indexed citations
19.
Qian, Qi, Airong Li, Bernard F. King, et al.. (2003). Clinical profile of autosomal dominant polycystic liver disease. Hepatology. 37(1). 164–171. 139 indexed citations
20.
Bádenas, Célia, Manuel Praga, Bárbara Tazón‐Vega, et al.. (2002). Mutations in theCOL4A4 and COL4A3 Genes Cause Familial Benign Hematuria. Journal of the American Society of Nephrology. 13(5). 1248–1254. 78 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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