Karol Estrada

47.1k total citations · 1 hit paper
31 papers, 1.7k citations indexed

About

Karol Estrada is a scholar working on Genetics, Molecular Biology and Physiology. According to data from OpenAlex, Karol Estrada has authored 31 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 14 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Karol Estrada's work include Genetic Associations and Epidemiology (9 papers), Epigenetics and DNA Methylation (6 papers) and Genomic variations and chromosomal abnormalities (5 papers). Karol Estrada is often cited by papers focused on Genetic Associations and Epidemiology (9 papers), Epigenetics and DNA Methylation (6 papers) and Genomic variations and chromosomal abnormalities (5 papers). Karol Estrada collaborates with scholars based in United States, Netherlands and Mexico. Karol Estrada's co-authors include Fernando Rivadeneira, Ling Oei, André G. Uitterlinden, Qiang Yu, Zhen Wang, Lindi Jiang, Xin Gao, Huiyong Chen, Maria Carola Zillikens and Lili Ma and has published in prestigious journals such as JAMA, Nature Communications and Nature Genetics.

In The Last Decade

Karol Estrada

29 papers receiving 1.7k citations

Hit Papers

Genome-wide meta-analysis, fine-mapping and integrative p... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karol Estrada United States 17 803 525 370 359 285 31 1.7k
Dongbing Lai United States 20 580 0.7× 374 0.7× 268 0.7× 428 1.2× 226 0.8× 76 1.6k
Mary D. Ruppe United States 16 385 0.5× 125 0.2× 319 0.9× 211 0.6× 221 0.8× 24 1.4k
Andrea Laslop Austria 26 962 1.2× 543 1.0× 217 0.6× 134 0.4× 424 1.5× 61 2.3k
Eric Rullman Sweden 25 637 0.8× 137 0.3× 563 1.5× 137 0.4× 131 0.5× 65 1.6k
Carolyn M. Hustad United States 29 1.2k 1.5× 363 0.7× 799 2.2× 179 0.5× 540 1.9× 51 2.9k
Fadil Hannan United Kingdom 26 928 1.2× 99 0.2× 302 0.8× 458 1.3× 431 1.5× 67 2.6k
Katariina Kainulainen Finland 24 607 0.8× 105 0.2× 663 1.8× 1.0k 2.8× 154 0.5× 37 2.5k
Fanglin Guan China 23 544 0.7× 125 0.2× 105 0.3× 246 0.7× 102 0.4× 47 1.2k
Margaret R. Warner United States 23 535 0.7× 590 1.1× 63 0.2× 91 0.3× 460 1.6× 60 1.8k
István Takács Hungary 20 310 0.4× 92 0.2× 89 0.2× 144 0.4× 735 2.6× 99 1.9k

Countries citing papers authored by Karol Estrada

Since Specialization
Citations

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

Fields of papers citing papers by Karol Estrada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karol Estrada

This figure shows the co-authorship network connecting the top 25 collaborators of Karol Estrada. A scholar is included among the top collaborators of Karol Estrada 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 Karol Estrada. Karol Estrada 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.
Yu, Ketian, Karol Estrada, Tõnu Esko, et al.. (2025). Plasma Metabolic Outliers Identified in Estonian Human Knockouts. Metabolites. 15(5). 323–323.
2.
Jaagura, Madis, Jaanika Kronberg, Anu Reigo, et al.. (2024). Comorbidities confound metabolomics studies of human disease. Scientific Reports. 14(1). 24810–24810. 2 indexed citations
3.
Trinidad, Marena, Alicia Ljungdahl, Geoffrey Y. Berguig, et al.. (2024). Haploinsufficiency underlies the neurodevelopmental consequences of SLC6A1 variants. The American Journal of Human Genetics. 111(6). 1222–1238. 7 indexed citations
4.
Garcia‐Pelaez, José, Raúl Aguirre‐Gamboa, Péter L. Lakatos, et al.. (2022). A systematic review and functional bioinformatics analysis of genes associated with Crohn’s disease identify more than 120 related genes. BMC Genomics. 23(1). 302–302. 9 indexed citations
5.
Estrada, Karol, et al.. (2022). Multivariate genome-wide association study models to improve prediction of Crohn’s disease risk and identification of potential novel variants. Computers in Biology and Medicine. 145. 105398–105398. 7 indexed citations
6.
Schwartzentruber, Jeremy, Sarah Cooper, Jimmy Z. Liu, et al.. (2021). Genome-wide meta-analysis, fine-mapping and integrative prioritization implicate new Alzheimer’s disease risk genes. Nature Genetics. 53(3). 392–402. 280 indexed citations breakdown →
7.
Estrada, Karol, Steven Froelich, Arthur Wüster, et al.. (2021). Identifying therapeutic drug targets using bidirectional effect genes. Nature Communications. 12(1). 2224–2224. 18 indexed citations
8.
Vasanthakumar, Aparna, J. Wade Davis, Kenneth B. Idler, et al.. (2020). Harnessing peripheral DNA methylation differences in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) to reveal novel biomarkers of disease. Clinical Epigenetics. 12(1). 84–84. 53 indexed citations
10.
Vallejo, Edgar E., et al.. (2019). Benchmarking machine learning models for late-onset alzheimer’s disease prediction from genomic data. BMC Bioinformatics. 20(1). 709–709. 47 indexed citations
11.
Vallejo, Edgar E., et al.. (2019). Detecting Clustered Independent Rare Variant Associations Using Genetic Algorithms. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(3). 932–939. 9 indexed citations
12.
Crotti, Andrea, Kathleen M. McAvoy, Karol Estrada, et al.. (2019). BIN1 favors the spreading of Tau via extracellular vesicles. Scientific Reports. 9(1). 9477–9477. 111 indexed citations
13.
Estrada, Karol, Christopher W. Whelan, Fengmei Zhao, et al.. (2018). A whole-genome sequence study identifies genetic risk factors for neuromyelitis optica. Nature Communications. 9(1). 1929–1929. 90 indexed citations
15.
Kappen, Jasper H., Carolina Medina‐Gómez, P. Martin van Hagen, et al.. (2015). Genome-Wide Association Study in an Admixed Case Series Reveals IL12A as a New Candidate in Behçet Disease. PLoS ONE. 10(3). e0119085–e0119085. 47 indexed citations
16.
Medina‐Gómez, Carolina, Janine F. Felix, Karol Estrada, et al.. (2015). Challenges in conducting genome-wide association studies in highly admixed multi-ethnic populations: the Generation R Study. European Journal of Epidemiology. 30(4). 317–330. 89 indexed citations
17.
Kreiner‐Møller, Eskil, Carolina Medina‐Gómez, André G. Uitterlinden, Fernando Rivadeneira, & Karol Estrada. (2014). Improving accuracy of rare variant imputation with a two-step imputation approach. European Journal of Human Genetics. 23(3). 395–400. 25 indexed citations
18.
Oei, Ling, Martha C. Castaño‐Betancourt, Karol Estrada, et al.. (2013). Genetic epidemiology of Scheuermann's disease. Osteoarthritis and Cartilage. 21. S171–S171.
19.
Ma, Lili, Ling Oei, Lindi Jiang, et al.. (2012). Association between bone mineral density and type 2 diabetes mellitus: a meta-analysis of observational studies. European Journal of Epidemiology. 27(5). 319–332. 318 indexed citations
20.
Kuningas, Maris, Karol Estrada, Yi‐Hsiang Hsu, et al.. (2011). Large common deletions associate with mortality at old age. Human Molecular Genetics. 20(21). 4290–4296. 29 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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