Rocío Acuña‐Hidalgo

1.9k total citations
8 papers, 824 citations indexed

About

Rocío Acuña‐Hidalgo is a scholar working on Molecular Biology, Hematology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Rocío Acuña‐Hidalgo has authored 8 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Hematology and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Rocío Acuña‐Hidalgo's work include Acute Myeloid Leukemia Research (2 papers), Chromosomal and Genetic Variations (2 papers) and Epigenetics and DNA Methylation (2 papers). Rocío Acuña‐Hidalgo is often cited by papers focused on Acute Myeloid Leukemia Research (2 papers), Chromosomal and Genetic Variations (2 papers) and Epigenetics and DNA Methylation (2 papers). Rocío Acuña‐Hidalgo collaborates with scholars based in United States, Netherlands and Mexico. Rocío Acuña‐Hidalgo's co-authors include Alexander Hoischen, Joris A. Veltman, Christian Gilissen, Maartje van de Vorst, Marloes Steehouwer, Sita H. Vermeulen, Hilal Sengül, Lambertus A. Kiemeney, Lisenka E.L.M. Vissers and Michele Pinelli and has published in prestigious journals such as Nature Cell Biology, The American Journal of Human Genetics and Genome biology.

In The Last Decade

Rocío Acuña‐Hidalgo

8 papers receiving 817 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rocío Acuña‐Hidalgo United States 7 443 340 162 115 77 8 824
Johanna Sandgren Sweden 12 425 1.0× 335 1.0× 241 1.5× 42 0.4× 63 0.8× 21 818
Pamela Brock United States 15 277 0.6× 286 0.8× 103 0.6× 40 0.3× 176 2.3× 39 712
Alexa Kidd New Zealand 14 663 1.5× 327 1.0× 150 0.9× 24 0.2× 28 0.4× 24 1.1k
Veronique Duke United Kingdom 14 384 0.9× 202 0.6× 84 0.5× 209 1.8× 52 0.7× 22 923
Claire Mulligan United Kingdom 10 357 0.8× 219 0.6× 40 0.2× 167 1.5× 32 0.4× 10 754
José‐Mario Capo‐Chichi Canada 14 515 1.2× 414 1.2× 120 0.7× 119 1.0× 14 0.2× 38 974
Kristiina Avela Finland 17 633 1.4× 402 1.2× 132 0.8× 15 0.1× 87 1.1× 34 1.1k
Umut Aypar United States 12 273 0.6× 127 0.4× 118 0.7× 63 0.5× 13 0.2× 33 557
Merav Hecht Israel 11 1.5k 3.5× 304 0.9× 231 1.4× 47 0.4× 17 0.2× 16 1.7k
Albert de la Chapelle Finland 13 544 1.2× 477 1.4× 31 0.2× 88 0.8× 133 1.7× 15 1.3k

Countries citing papers authored by Rocío Acuña‐Hidalgo

Since Specialization
Citations

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

Fields of papers citing papers by Rocío Acuña‐Hidalgo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rocío Acuña‐Hidalgo. 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 Rocío Acuña‐Hidalgo. The network helps show where Rocío Acuña‐Hidalgo may publish in the future.

Co-authorship network of co-authors of Rocío Acuña‐Hidalgo

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

All Works

8 of 8 papers shown
1.
Kraft, Katerina, Andreas Magg, Verena Heinrich, et al.. (2019). Serial genomic inversions induce tissue-specific architectural stripes, gene misexpression and congenital malformations. Nature Cell Biology. 21(3). 305–310. 96 indexed citations
2.
Acuña‐Hidalgo, Rocío, Hilal Sengül, Marloes Steehouwer, et al.. (2017). Ultra-sensitive Sequencing Identifies High Prevalence of Clonal Hematopoiesis-Associated Mutations throughout Adult Life. The American Journal of Human Genetics. 101(1). 50–64. 172 indexed citations
3.
Shen, Wei, Jennifer Heeley, Colleen M. Carlston, et al.. (2017). The spectrum of DNMT3A variants in Tatton–Brown–Rahman syndrome overlaps with that in hematologic malignancies. American Journal of Medical Genetics Part A. 173(11). 3022–3028. 34 indexed citations
4.
Acuña‐Hidalgo, Rocío, Joris A. Veltman, & Alexander Hoischen. (2016). New insights into the generation and role of de novo mutations in health and disease. Genome biology. 17(1). 241–241. 261 indexed citations
5.
Acuña‐Hidalgo, Rocío, Michael Kwint, Maartje van de Vorst, et al.. (2015). Post-zygotic Point Mutations Are an Underrecognized Source of De Novo Genomic Variation. The American Journal of Human Genetics. 97(1). 67–74. 152 indexed citations
6.
Tylki‐Szymańska, Anna, Rocío Acuña‐Hidalgo, Małgorzata Krajewska‐Walasek, et al.. (2015). Thyroid hormone resistance syndrome due to mutations in the thyroid hormone receptor α gene (THRA). Journal of Medical Genetics. 52(5). 312–316. 65 indexed citations
7.
Acuña‐Hidalgo, Rocío, José Ponce‐Coria, Norma Vázquez, et al.. (2010). Rare mutations in SLC12A1 and SLC12A3 protect against hypertension by reducing the activity of renal salt cotransporters. Journal of Hypertension. 29(3). 475–483. 43 indexed citations
8.
Rojas‐Velasco, Gustavo, et al.. (2009). Encefalitis límbica paraneoplásica: una entidad de difícil diagnóstico. Revista de Neurología. 48(6). 311–311. 1 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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