Maria Rigau

549 total citations
10 papers, 346 citations indexed

About

Maria Rigau is a scholar working on Molecular Biology, Genetics and Biomaterials. According to data from OpenAlex, Maria Rigau has authored 10 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Biomaterials. Recurrent topics in Maria Rigau's work include Genomics and Rare Diseases (3 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Genomics and Phylogenetic Studies (2 papers). Maria Rigau is often cited by papers focused on Genomics and Rare Diseases (3 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Genomics and Phylogenetic Studies (2 papers). Maria Rigau collaborates with scholars based in Spain, United Kingdom and Netherlands. Maria Rigau's co-authors include David Juan, Alfonso Valencia, Daniel Rico, Fernando Alberício, Marta Paradís‐Bas, Simón Côté, Gerardo Acosta, Míriam Royo, Ivon Cuscó and Gemma Aznar‐Laín and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Current Opinion in Cell Biology.

In The Last Decade

Maria Rigau

10 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria Rigau Spain	10	213	118	45	39	31	10	346
Valerie H. Adams United States	6	236 1.1×	162 1.4×	10 0.2×	55 1.4×	18 0.6×	9	326
Zhenxing Yang China	13	251 1.2×	44 0.4×	29 0.6×	16 0.4×	19 0.6×	32	422
Lev N. Porokhovnik Russia	14	306 1.4×	131 1.1×	29 0.6×	29 0.7×	56 1.8×	35	496
Xiao Ji China	9	192 0.9×	94 0.8×	35 0.8×	57 1.5×	10 0.3×	31	413
Nishant Pappireddi United States	4	235 1.1×	19 0.2×	15 0.3×	7 0.2×	10 0.3×	4	398
Stéphanie Rey United Kingdom	7	226 1.1×	25 0.2×	8 0.2×	8 0.2×	8 0.3×	14	332
Jian Fei China	10	250 1.2×	77 0.7×	12 0.3×	7 0.2×	10 0.3×	31	364
Tomoko Higashi Japan	11	273 1.3×	55 0.5×	8 0.2×	12 0.3×	23 0.7×	23	366
Ji‐Hong Ha South Korea	9	199 0.9×	86 0.7×	28 0.6×	3 0.1×	21 0.7×	20	357
Binfei Zhou United States	9	396 1.9×	31 0.3×	37 0.8×	64 1.6×	4 0.1×	10	545

Countries citing papers authored by Maria Rigau

Since Specialization

Citations

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

Fields of papers citing papers by Maria Rigau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Rigau

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Rigau. A scholar is included among the top collaborators of Maria Rigau 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 Maria Rigau. Maria Rigau 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

Rigau, Maria, Mattia Bosio, Emily O’Connor, et al.. (2024). Rare disease research workflow using multilayer networks elucidates the molecular determinants of severity in Congenital Myasthenic Syndromes. Nature Communications. 15(1). 1227–1227. 12 indexed citations

Pancaldi, Véra, Maria Rigau, Osvaldo Graña‐Castro, et al.. (2022). 3D chromatin connectivity underlies replication origin efficiency in mouse embryonic stem cells. Nucleic Acids Research. 50(21). 12149–12165. 9 indexed citations

Ing‐Simmons, Elizabeth, Maria Rigau, & Juan M. Vaquerizas. (2022). Emerging mechanisms and dynamics of three-dimensional genome organisation at zygotic genome activation. Current Opinion in Cell Biology. 74. 37–46. 18 indexed citations

Joshi, Ricky S., Maria Rigau, Carlos A. García‐Prieto, et al.. (2022). Look-alike humans identified by facial recognition algorithms show genetic similarities. Cell Reports. 40(8). 111257–111257. 14 indexed citations

Ehrhart, Friederike, Annika Jacobsen, Maria Rigau, et al.. (2021). A catalogue of 863 Rett-syndrome-causing MECP2 mutations and lessons learned from data integration. Scientific Data. 8(1). 10–10. 21 indexed citations

Rigau, Maria, David Juan, Alfonso Valencia, & Daniel Rico. (2019). Intronic CNVs and gene expression variation in human populations. PLoS Genetics. 15(1). e1007902–e1007902. 57 indexed citations

Abascal, Federico, David Juan, Irwin Jungreis, et al.. (2018). Loose ends: almost one in five human genes still have unresolved coding status. Nucleic Acids Research. 46(14). 7070–7084. 39 indexed citations

Codina‐Solà, Marta, Benjamín Rodríguez‐Santiago, Javier Santoyo‐López, et al.. (2015). Integrated analysis of whole-exome sequencing and transcriptome profiling in males with autism spectrum disorders. Molecular Autism. 6(1). 21–21. 89 indexed citations

Aigner, Tamara Bernadette, Aitziber Iturmendi, Maria Rigau, et al.. (2014). Degradable Glycine‐Based Photo‐Polymerizable Polyphosphazenes for Use as Scaffolds for Tissue Regeneration. Macromolecular Bioscience. 15(3). 351–363. 35 indexed citations

10.

Acosta, Gerardo, Marta Paradís‐Bas, Maria Rigau, et al.. (2009). Solid‐phase peptide synthesis using acetonitrile as a solvent in combination with PEG‐based resins. Journal of Peptide Science. 15(10). 629–633. 52 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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