Sonia de Castro

113 total papers · 1.4k total citations
58 papers, 1.1k citations indexed

About

Sonia de Castro is a scholar working on Organic Chemistry, Molecular Biology and Epidemiology. According to data from OpenAlex, Sonia de Castro has authored 58 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Organic Chemistry, 20 papers in Molecular Biology and 13 papers in Epidemiology. Recurrent topics in Sonia de Castro's work include Adenosine and Purinergic Signaling (10 papers), HIV/AIDS drug development and treatment (9 papers) and Research on Leishmaniasis Studies (8 papers). Sonia de Castro is often cited by papers focused on Adenosine and Purinergic Signaling (10 papers), HIV/AIDS drug development and treatment (9 papers) and Research on Leishmaniasis Studies (8 papers). Sonia de Castro collaborates with scholars based in Spain, Belgium and United States. Sonia de Castro's co-authors include Marı́a-José Camarasa, Kenneth A. Jacobson, Sonsoles Velázquez, T. Kendall Harden, Marcos A. Vannier‐Santos, Hyojin Ko, Jan Balzarini, Andrei A. Ivanov, Roberto Fernández de la Pradilla and Vicente J. Arán and has published in prestigious journals such as FEBS Letters, Journal of Medicinal Chemistry and The Journal of Organic Chemistry.

In The Last Decade

Sonia de Castro

56 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Sonia de Castro 473 408 291 182 133 58 1.1k
Jarosław Spychała 343 0.7× 422 1.0× 173 0.6× 119 0.7× 92 0.7× 56 911
Alexander Hampton 421 0.9× 987 2.4× 198 0.7× 173 1.0× 227 1.7× 82 1.3k
James M. Fujitaki 132 0.3× 584 1.4× 54 0.2× 267 1.5× 237 1.8× 34 1.2k
Linda L. Wotring 685 1.4× 632 1.5× 114 0.4× 223 1.2× 233 1.8× 69 1.5k
Steven E. Patterson 454 1.0× 457 1.1× 47 0.2× 202 1.1× 271 2.0× 53 1.3k
Jennifer E. Golden 448 0.9× 615 1.5× 23 0.1× 194 1.1× 212 1.6× 70 1.4k
Liqiang Chen 284 0.6× 687 1.7× 153 0.5× 257 1.4× 241 1.8× 51 1.3k
John Davoll 503 1.1× 475 1.2× 77 0.3× 85 0.5× 110 0.8× 28 926
Krzysztof Felczak 238 0.5× 636 1.6× 121 0.4× 208 1.1× 305 2.3× 50 1.1k
H. Jeanette Thomas 477 1.0× 864 2.1× 166 0.6× 177 1.0× 284 2.1× 69 1.2k

Countries citing papers authored by Sonia de Castro

Since Specialization
Citations

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

Fields of papers citing papers by Sonia de Castro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sonia de Castro. 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 Sonia de Castro. The network helps show where Sonia de Castro may publish in the future.

Co-authorship network of co-authors of Sonia de Castro

This figure shows the co-authorship network connecting the top 25 collaborators of Sonia de Castro. A scholar is included among the top collaborators of Sonia de Castro 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 Sonia de Castro. Sonia de Castro 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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