Silvia Galván-Peña

18 total papers · 1.4k total citations
10 papers, 818 citations indexed

About

Silvia Galván-Peña is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Silvia Galván-Peña has authored 10 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Infectious Diseases. Recurrent topics in Silvia Galván-Peña's work include Immune Cell Function and Interaction (3 papers), IL-33, ST2, and ILC Pathways (3 papers) and T-cell and B-cell Immunology (3 papers). Silvia Galván-Peña is often cited by papers focused on Immune Cell Function and Interaction (3 papers), IL-33, ST2, and ILC Pathways (3 papers) and T-cell and B-cell Immunology (3 papers). Silvia Galván-Peña collaborates with scholars based in United States, Ireland and United Kingdom. Silvia Galván-Peña's co-authors include Richard G. Carroll, Kathy Triantafilou, Martha Triantafilou, Christophe Benoıst, Diane Mathis, Louise K. Modis, Luke O'neill, Evanna L. Mills, Amaya I. Wolf and Clare Bryant and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Silvia Galván-Peña

10 papers receiving 806 citations

Hit Papers

A chemogenetic screen rev... 2024 2026 2024 10 20 30

Author Peers

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

Author Last Decade Papers Cites
Silvia Galván-Peña 426 338 102 80 77 10 818
Agnieszka Płóciennikowska 332 0.8× 356 1.1× 108 1.1× 74 0.9× 57 0.7× 8 802
Aneta Hromada‐Judycka 369 0.9× 314 0.9× 87 0.9× 76 0.9× 69 0.9× 17 849
Jason Saredy 407 1.0× 363 1.1× 107 1.0× 81 1.0× 73 0.9× 22 1.0k
Jong Seong Roh 370 0.9× 384 1.1× 114 1.1× 79 1.0× 72 0.9× 19 983
Shauna Dauphinee 350 0.8× 373 1.1× 83 0.8× 60 0.8× 66 0.9× 18 810
Meera Rath 302 0.7× 494 1.5× 131 1.3× 99 1.2× 66 0.9× 7 1.0k
Hiroko Kushiyama 609 1.4× 307 0.9× 79 0.8× 63 0.8× 53 0.7× 9 809
Patricia Kiesler 276 0.6× 317 0.9× 72 0.7× 92 1.1× 91 1.2× 7 773
Carole Berruyer-Pouyet 361 0.8× 286 0.8× 117 1.1× 55 0.7× 69 0.9× 10 826
Valerie F. Curtis 379 0.9× 314 0.9× 84 0.8× 97 1.2× 72 0.9× 15 846

Countries citing papers authored by Silvia Galván-Peña

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Galván-Peña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia Galván-Peña. 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 Galván-Peña. The network helps show where Silvia Galván-Peña may publish in the future.

Co-authorship network of co-authors of Silvia Galván-Peña

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