Raquel Tenorio

28 total papers · 515 total citations
16 papers, 358 citations indexed

About

Raquel Tenorio is a scholar working on Infectious Diseases, Molecular Biology and Genetics. According to data from OpenAlex, Raquel Tenorio has authored 16 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Raquel Tenorio's work include Viral gastroenteritis research and epidemiology (7 papers), RNA and protein synthesis mechanisms (5 papers) and Virus-based gene therapy research (5 papers). Raquel Tenorio is often cited by papers focused on Viral gastroenteritis research and epidemiology (7 papers), RNA and protein synthesis mechanisms (5 papers) and Virus-based gene therapy research (5 papers). Raquel Tenorio collaborates with scholars based in Spain, United States and Canada. Raquel Tenorio's co-authors include Cristina Risco, Isabel Fernández de Castro, Terence S. Dermody, María J. Bullido, Isabel Sastre, Paula F. Zamora, Jonathan J. Knowlton, Ana Frank, Fernando Valdivieso and Bernardo A. Mainou and has published in prestigious journals such as The Journal of Cell Biology, Molecular Microbiology and PLoS Pathogens.

In The Last Decade

Raquel Tenorio

16 papers receiving 356 citations

Author Peers

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

Author						Papers	Cites
Raquel Tenorio	158	133	65	52	48	16	358
Marie‐Christine Ruiz	114 0.7×	180 1.4×	72 1.1×	44 0.8×	44 0.9×	13	374
D. N. Planterose	116 0.7×	53 0.4×	53 0.8×	60 1.2×	59 1.2×	21	332
Diego S. Ferrero	134 0.8×	105 0.8×	28 0.4×	59 1.1×	60 1.3×	20	331
Madhu Sudhan Ravindran	192 1.2×	105 0.8×	40 0.6×	80 1.5×	82 1.7×	14	394
Sandra J. Dawe	104 0.7×	179 1.3×	144 2.2×	20 0.4×	53 1.1×	14	377
Marie Christine Ruiz	72 0.5×	201 1.5×	74 1.1×	52 1.0×	45 0.9×	18	380
Mustapha Hajjou	142 0.9×	88 0.7×	38 0.6×	68 1.3×	78 1.6×	12	360
Moona Huttunen	106 0.7×	90 0.7×	43 0.7×	29 0.6×	76 1.6×	19	295
Nathalie Couroussé	119 0.8×	86 0.6×	77 1.2×	27 0.5×	33 0.7×	14	395
J Schönborn	176 1.1×	47 0.4×	29 0.4×	41 0.8×	28 0.6×	11	383

Countries citing papers authored by Raquel Tenorio

Since Specialization

Citations

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

Fields of papers citing papers by Raquel Tenorio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raquel Tenorio

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