Silvia Prieto‐Sánchez

20 total papers · 601 total citations
14 papers, 439 citations indexed

About

Silvia Prieto‐Sánchez is a scholar working on Molecular Biology, Nephrology and Genetics. According to data from OpenAlex, Silvia Prieto‐Sánchez has authored 14 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Nephrology and 3 papers in Genetics. Recurrent topics in Silvia Prieto‐Sánchez's work include RNA Interference and Gene Delivery (5 papers), RNA Research and Splicing (5 papers) and RNA and protein synthesis mechanisms (3 papers). Silvia Prieto‐Sánchez is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), RNA Research and Splicing (5 papers) and RNA and protein synthesis mechanisms (3 papers). Silvia Prieto‐Sánchez collaborates with scholars based in Spain, Argentina and United Kingdom. Silvia Prieto‐Sánchez's co-authors include Mar Ruiz‐Gómez, Helen Weavers, Rubén Artero, Michaela Wilsch‐Bräuninger, Helen Skaer, Amparo García-López, Barry Denholm, Ferdi Grawe, Carlos Suñé and Cristina Hernández-Munaín and has published in prestigious journals such as Nature, The Journal of Cell Biology and Development.

In The Last Decade

Silvia Prieto‐Sánchez

14 papers receiving 436 citations

Author Peers

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

Author Last Decade Papers Cites
Silvia Prieto‐Sánchez 264 126 76 71 63 14 439
Sandra Schmieder 247 0.9× 148 1.2× 85 1.1× 73 1.0× 49 0.8× 13 428
Sujin Bao 290 1.1× 34 0.3× 37 0.5× 162 2.3× 115 1.8× 12 381
Damir Musaev 356 1.3× 44 0.3× 100 1.3× 105 1.5× 31 0.5× 13 494
Shoko Ikeda 218 0.8× 37 0.3× 31 0.4× 70 1.0× 16 0.3× 16 367
Eli Shapira 307 1.2× 88 0.7× 141 1.9× 33 0.5× 21 0.3× 11 412
Kenryo Furushima 288 1.1× 57 0.5× 135 1.8× 59 0.8× 57 0.9× 18 438
J. M. Barrett 243 0.9× 55 0.4× 13 0.2× 41 0.6× 19 0.3× 16 426
Lisa M. Swanhart 323 1.2× 42 0.3× 92 1.2× 107 1.5× 31 0.5× 11 399
Hsiang Wen 333 1.3× 33 0.3× 30 0.4× 65 0.9× 149 2.4× 18 493
Fengbao Luo 287 1.1× 27 0.2× 34 0.4× 189 2.7× 40 0.6× 13 476

Countries citing papers authored by Silvia Prieto‐Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Prieto‐Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia Prieto‐Sánchez. 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 Silvia Prieto‐Sánchez. The network helps show where Silvia Prieto‐Sánchez may publish in the future.

Co-authorship network of co-authors of Silvia Prieto‐Sánchez

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Prieto‐Sánchez. A scholar is included among the top collaborators of Silvia Prieto‐Sánchez 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 Silvia Prieto‐Sánchez. Silvia Prieto‐Sánchez 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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