Rosa Gonzalez‐Quevedo

34 total papers · 582 total citations
24 papers, 422 citations indexed

About

Rosa Gonzalez‐Quevedo is a scholar working on Molecular Biology, Economics and Econometrics and Physiology. According to data from OpenAlex, Rosa Gonzalez‐Quevedo has authored 24 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Economics and Econometrics and 4 papers in Physiology. Recurrent topics in Rosa Gonzalez‐Quevedo's work include Biosimilars and Bioanalytical Methods (4 papers), Developmental Biology and Gene Regulation (4 papers) and Telomeres, Telomerase, and Senescence (4 papers). Rosa Gonzalez‐Quevedo is often cited by papers focused on Biosimilars and Bioanalytical Methods (4 papers), Developmental Biology and Gene Regulation (4 papers) and Telomeres, Telomerase, and Senescence (4 papers). Rosa Gonzalez‐Quevedo collaborates with scholars based in Spain, Netherlands and United States. Rosa Gonzalez‐Quevedo's co-authors include David G. Wilkinson, Kenneth D. Poss, Pilar Iniesta, Manuel Benito, Yoonsung Lee, Carmen de Juan, Andrés Sánchez-Pernaute, Lily Horng, Anthony E. Oro and Eduardo Díaz‐Rubio and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Cell Biology and Development.

In The Last Decade

Rosa Gonzalez‐Quevedo

23 papers receiving 413 citations

Author Peers

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

Author Last Decade Papers Cites
Rosa Gonzalez‐Quevedo 221 87 74 56 56 24 422
L C Andersson 152 0.7× 63 0.7× 28 0.4× 38 0.7× 35 0.6× 17 394
Estelle Llamosas 333 1.5× 93 1.1× 38 0.5× 26 0.5× 71 1.3× 17 429
Hai-Su Yang 268 1.2× 196 2.3× 62 0.8× 23 0.4× 49 0.9× 17 467
Susan Yeyeodu 181 0.8× 71 0.8× 70 0.9× 25 0.4× 113 2.0× 19 378
Ying Xia 279 1.3× 47 0.5× 93 1.3× 19 0.3× 82 1.5× 20 427
Johji Inazawa 308 1.4× 34 0.4× 25 0.3× 57 1.0× 47 0.8× 16 452
Regina Berger 171 0.8× 124 1.4× 31 0.4× 29 0.5× 75 1.3× 28 443
Emir Senturk 214 1.0× 144 1.7× 35 0.5× 14 0.3× 58 1.0× 14 376
Haihui Gu 269 1.2× 111 1.3× 19 0.3× 50 0.9× 64 1.1× 26 480
Hisamori Kato 113 0.5× 111 1.3× 43 0.6× 24 0.4× 56 1.0× 39 452

Countries citing papers authored by Rosa Gonzalez‐Quevedo

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Gonzalez‐Quevedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosa Gonzalez‐Quevedo. 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 Rosa Gonzalez‐Quevedo. The network helps show where Rosa Gonzalez‐Quevedo may publish in the future.

Co-authorship network of co-authors of Rosa Gonzalez‐Quevedo

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Gonzalez‐Quevedo. A scholar is included among the top collaborators of Rosa Gonzalez‐Quevedo 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 Rosa Gonzalez‐Quevedo. Rosa Gonzalez‐Quevedo 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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