Sílvia Pineda

61 total papers · 1.7k total citations
29 papers, 1.1k citations indexed

About

Sílvia Pineda is a scholar working on Oncology, Surgery and Genetics. According to data from OpenAlex, Sílvia Pineda has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 7 papers in Surgery and 7 papers in Genetics. Recurrent topics in Sílvia Pineda's work include Bladder and Urothelial Cancer Treatments (6 papers), Estrogen and related hormone effects (5 papers) and Renal Transplantation Outcomes and Treatments (4 papers). Sílvia Pineda is often cited by papers focused on Bladder and Urothelial Cancer Treatments (6 papers), Estrogen and related hormone effects (5 papers) and Renal Transplantation Outcomes and Treatments (4 papers). Sílvia Pineda collaborates with scholars based in Spain, United States and United Kingdom. Sílvia Pineda's co-authors include Jack Cuzick, Mitch Dowsett, Janine Salter, Anthony Howell, Lila Zabaglo, John Forbes, Aman U. Buzdar, Christopher Wale, Ian O. Ellis and Andrew R. Green and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

Sílvia Pineda

27 papers receiving 1.1k citations

Hit Papers

Prognostic Value of a Com... 2011 2026 2016 2021 2011 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Sílvia Pineda 564 485 305 204 182 29 1.1k
N. Lynn Henry 289 0.5× 702 1.4× 302 1.0× 98 0.5× 146 0.8× 43 1.1k
Shrihari S. Kadkol 189 0.3× 371 0.8× 597 2.0× 78 0.4× 157 0.9× 41 1.2k
Robert L. Sutherland 251 0.4× 762 1.6× 473 1.6× 313 1.5× 173 1.0× 40 1.3k
William M. Lin 201 0.4× 383 0.8× 646 2.1× 59 0.3× 130 0.7× 28 1.2k
Teri Oldaker 515 0.9× 459 0.9× 361 1.2× 147 0.7× 97 0.5× 18 1.1k
Caroline M.P.W. Mandigers 313 0.6× 677 1.4× 283 0.9× 79 0.4× 168 0.9× 24 1.1k
Christina Hackl 216 0.4× 441 0.9× 490 1.6× 52 0.3× 151 0.8× 48 1.3k
Nathan Hunkapiller 452 0.8× 193 0.4× 349 1.1× 117 0.6× 176 1.0× 13 1.1k
Ugo Di Tondo 581 1.0× 229 0.5× 596 2.0× 62 0.3× 160 0.9× 53 1.3k
Robyn Temple‐Smolkin 712 1.3× 518 1.1× 402 1.3× 303 1.5× 277 1.5× 22 1.4k

Countries citing papers authored by Sílvia Pineda

Since Specialization
Citations

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

Fields of papers citing papers by Sílvia Pineda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sílvia Pineda

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