Raúl Sanz

58 total papers · 897 total citations
44 papers, 630 citations indexed

About

Raúl Sanz is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Raúl Sanz has authored 44 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Genetics and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Raúl Sanz's work include Genomic variations and chromosomal abnormalities (7 papers), Retinal Development and Disorders (5 papers) and Prenatal Screening and Diagnostics (4 papers). Raúl Sanz is often cited by papers focused on Genomic variations and chromosomal abnormalities (7 papers), Retinal Development and Disorders (5 papers) and Prenatal Screening and Diagnostics (4 papers). Raúl Sanz collaborates with scholars based in Spain, Argentina and United States. Raúl Sanz's co-authors include Carmen Ayuso, Carmen Ramos, Santiago Rodrı́guez de Córdoba, M. Esther Gallardo, Javier López-Rı́os, Paola Bovolenta, Begoña Granadino, Walter Manucha, Isabel Lorda‐Sánchez and Isabel Fernaud-Espinosa and has published in prestigious journals such as PLoS ONE, The American Journal of Human Genetics and International Journal of Pharmaceutics.

In The Last Decade

Raúl Sanz

42 papers receiving 615 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Raúl Sanz	342	206	80	76	59	44	630
Alka Chaubey	368 1.1×	216 1.0×	80 1.0×	37 0.5×	40 0.7×	49	771
Katharina Steindl	404 1.2×	316 1.5×	49 0.6×	48 0.6×	20 0.3×	50	689
Nisha Patel	426 1.2×	264 1.3×	37 0.5×	52 0.7×	23 0.4×	38	721
Soo‐Mi Park	461 1.3×	256 1.2×	46 0.6×	52 0.7×	27 0.5×	39	791
Radhika Dhamija	220 0.6×	190 0.9×	76 0.9×	91 1.2×	24 0.4×	64	715
Gerarda Cappuccio	346 1.0×	283 1.4×	55 0.7×	47 0.6×	28 0.5×	58	605
Jing Zhang	222 0.6×	304 1.5×	41 0.5×	40 0.5×	43 0.7×	35	646
Sunita Venkateswaran	333 1.0×	261 1.3×	79 1.0×	73 1.0×	87 1.5×	33	768
Xing Ji	314 0.9×	108 0.5×	57 0.7×	24 0.3×	28 0.5×	45	647
José Pedro Vieira	227 0.7×	247 1.2×	78 1.0×	107 1.4×	23 0.4×	48	696

Countries citing papers authored by Raúl Sanz

Since Specialization

Citations

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

Fields of papers citing papers by Raúl Sanz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raúl Sanz

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

All Works

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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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