Mario Cáceres

4.5k total citations
43 papers, 2.1k citations indexed

About

Mario Cáceres is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Mario Cáceres has authored 43 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 26 papers in Genetics and 19 papers in Plant Science. Recurrent topics in Mario Cáceres's work include Chromosomal and Genetic Variations (19 papers), Genomic variations and chromosomal abnormalities (18 papers) and Genomics and Phylogenetic Studies (10 papers). Mario Cáceres is often cited by papers focused on Chromosomal and Genetic Variations (19 papers), Genomic variations and chromosomal abnormalities (18 papers) and Genomics and Phylogenetic Studies (10 papers). Mario Cáceres collaborates with scholars based in Spain, United States and Italy. Mario Cáceres's co-authors include Todd M. Preuss, Alfredo Ruíz, Daniel H. Geschwind, Marta Puig, James W. Thomas, Antonio Barbadilla, Matthew A. Zapala, Carrolee Barlow, David J. Lockhart and Joël Lachuer and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Mario Cáceres

43 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Cáceres Spain 24 1.4k 930 627 186 127 43 2.1k
Frank W. Albert United States 22 1.7k 1.3× 1.4k 1.5× 291 0.5× 204 1.1× 166 1.3× 44 2.9k
Gerald M. Pao United States 19 1.5k 1.1× 469 0.5× 269 0.4× 130 0.7× 58 0.5× 29 2.1k
Kazutoyo Osoegawa United States 29 2.1k 1.6× 1.7k 1.8× 931 1.5× 187 1.0× 69 0.5× 61 3.5k
Peter H. Sudmant United States 24 2.1k 1.5× 1.6k 1.7× 777 1.2× 409 2.2× 49 0.4× 47 3.2k
Hugues Roest Crollius France 27 2.1k 1.5× 934 1.0× 732 1.2× 197 1.1× 66 0.5× 60 3.2k
Karl J. Clark United States 32 3.0k 2.2× 1.1k 1.2× 358 0.6× 198 1.1× 41 0.3× 83 4.0k
Yan Zheng China 22 1.6k 1.2× 424 0.5× 252 0.4× 542 2.9× 110 0.9× 36 2.4k
Yuichiro Itoh United States 28 761 0.6× 1.3k 1.4× 441 0.7× 99 0.5× 314 2.5× 53 2.5k
Ian G. Woods United States 17 1.6k 1.2× 605 0.7× 305 0.5× 146 0.8× 32 0.3× 24 2.5k
József Zákány Switzerland 32 3.3k 2.4× 1.2k 1.3× 323 0.5× 259 1.4× 46 0.4× 54 3.9k

Countries citing papers authored by Mario Cáceres

Since Specialization
Citations

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

Fields of papers citing papers by Mario Cáceres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Cáceres

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Cáceres. A scholar is included among the top collaborators of Mario Cáceres 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 Mario Cáceres. Mario Cáceres 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.
Gallego, Xavier, et al.. (2024). Identification of novel driver risk genes in CNV loci associated with neurodevelopmental disorders. Human Genetics and Genomics Advances. 5(3). 100316–100316. 1 indexed citations
2.
Puig, Marta, et al.. (2022). Genomic architecture and functional effects of potential human inversion supergenes. Philosophical Transactions of the Royal Society B Biological Sciences. 377(1856). 20210209–20210209. 12 indexed citations
3.
Maggiolini, Flavia Angela Maria, Ashley D. Sanders, Colin J. Shew, et al.. (2020). Single-cell strand sequencing of a macaque genome reveals multiple nested inversions and breakpoint reuse during primate evolution. Genome Research. 30(11). 1680–1693. 11 indexed citations
4.
Puig, Marta, Jon Lerga-Jaso, Carla Giner-Delgado, et al.. (2020). Determining the impact of uncharacterized inversions in the human genome by droplet digital PCR. Genome Research. 30(5). 724–735. 12 indexed citations
5.
Puig, Marta, Magdalena Gayà‐Vidal, Sarai Pacheco, et al.. (2016). Detailed analysis of inversions predicted between two human genomes: errors, real polymorphisms, and their origin and population distribution. Human Molecular Genetics. 26(3). ddw415–ddw415. 13 indexed citations
6.
Escaramís, Geòrgia, Cristian Tornador, Laia Bassaganyas, et al.. (2013). PeSV-Fisher: Identification of Somatic and Non-Somatic Structural Variants Using Next Generation Sequencing Data. PLoS ONE. 8(5). e63377–e63377. 15 indexed citations
7.
Martinez‐Fundichely, Alexander, Sònia Casillas, Raquel Egea, et al.. (2013). InvFEST, a database integrating information of polymorphic inversions in the human genome. Nucleic Acids Research. 42(D1). D1027–D1032. 31 indexed citations
8.
Lucas‐Lledó, José Ignacio & Mario Cáceres. (2013). On the Power and the Systematic Biases of the Detection of Chromosomal Inversions by Paired-End Genome Sequencing. PLoS ONE. 8(4). e61292–e61292. 25 indexed citations
9.
Cáceres, Alejandro, Suzanne Sindi, Benjamin J. Raphael, Mario Cáceres, & Juan R. González. (2012). Identification of polymorphic inversions from genotypes. BMC Bioinformatics. 13(1). 28–28. 34 indexed citations
10.
Cagliani, Rachele, Stefania Riva, Cecilia Marino, et al.. (2011). Variants in SNAP25 are targets of natural selection and influence verbal performances in women. Cellular and Molecular Life Sciences. 69(10). 1705–1715. 11 indexed citations
11.
Armengol, Lluı́s, Sergi Villatoro, Juan R. González, et al.. (2009). Identification of Copy Number Variants Defining Genomic Differences among Major Human Groups. PLoS ONE. 4(9). e7230–e7230. 29 indexed citations
12.
Thomas, James W., Mario Cáceres, Caroline Morehouse, et al.. (2008). The Chromosomal Polymorphism Linked to Variation in Social Behavior in the White-Throated Sparrow ( Zonotrichia albicollis ) Is a Complex Rearrangement and Suppressor of Recombination. Genetics. 179(3). 1455–1468. 113 indexed citations
13.
Zapala, Matthew A., Mario Cáceres, Ondrej Libiger, et al.. (2007). Detecting genetic variation in microarray expression data. Genome Research. 17(8). 1228–1235. 7 indexed citations
14.
Cáceres, Mario, et al.. (2007). A recurrent inversion on the eutherian X chromosome. Proceedings of the National Academy of Sciences. 104(47). 18571–18576. 35 indexed citations
15.
Calarco, John A., Yi Xing, Mario Cáceres, et al.. (2007). Global analysis of alternative splicing differences between humans and chimpanzees. Genes & Development. 21(22). 2963–2975. 116 indexed citations
16.
17.
Cáceres, Mario & James W. Thomas. (2006). The Gene of Retroviral Origin Syncytin 1 is Specific to Hominoids and is Inactive in Old World Monkeys. Journal of Heredity. 97(2). 100–106. 22 indexed citations
18.
Poulsen, Christian Bjørn, Milena Penkowa, Rehannah Borup, et al.. (2004). Brain response to traumatic brain injury in wild‐type and interleukin‐6 knockout mice: a microarray analysis. Journal of Neurochemistry. 92(2). 417–432. 47 indexed citations
19.
Preuss, Todd M., Mario Cáceres, Michael C. Oldham, & Daniel H. Geschwind. (2004). Human brain evolution: insights from microarrays. Nature Reviews Genetics. 5(11). 850–860. 154 indexed citations
20.

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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