Ricardo Ribas

128 total papers · 1.8k total citations
32 papers, 1.1k citations indexed

About

Ricardo Ribas is a scholar working on Genetics, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ricardo Ribas has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 15 papers in Molecular Biology and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ricardo Ribas's work include Estrogen and related hormone effects (13 papers), Advanced Breast Cancer Therapies (11 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Ricardo Ribas is often cited by papers focused on Estrogen and related hormone effects (13 papers), Advanced Breast Cancer Therapies (11 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Ricardo Ribas collaborates with scholars based in United Kingdom, New Zealand and United States. Ricardo Ribas's co-authors include Mitch Dowsett, Lesley‐Ann Martin, Sunil Pancholi, Elena López‐Knowles, Qiong Gao, Sarah Hrebien, Peter Osin, Noelia Tarazona, Gaia Schiavon and Ian E. Smith and has published in prestigious journals such as PLoS ONE, Cancer Research and Oncogene.

In The Last Decade

Ricardo Ribas

32 papers receiving 1.0k citations

Hit Papers

Analysis of ESR1 mutation... 2015 2026 2018 2022 2015 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Ricardo Ribas 536 528 416 386 261 32 1.1k
M Giai 269 0.5× 477 0.9× 463 1.1× 219 0.6× 263 1.0× 33 1.2k
Steven Gendreau 354 0.7× 558 1.1× 423 1.0× 492 1.3× 132 0.5× 26 1.1k
Patrick Kwok‐Shing Ng 312 0.6× 607 1.1× 299 0.7× 416 1.1× 157 0.6× 38 1.2k
Thorunn Helgason 341 0.6× 467 0.9× 427 1.0× 213 0.6× 131 0.5× 31 1.1k
Frédéric Commo 461 0.9× 544 1.0× 467 1.1× 370 1.0× 98 0.4× 32 1.1k
Dewey Kim 463 0.9× 603 1.1× 391 0.9× 229 0.6× 293 1.1× 19 1.2k
Jari Sundström 331 0.6× 485 0.9× 522 1.3× 296 0.8× 117 0.4× 49 1.2k
Mutsuko Yamamoto‐Ibusuki 507 0.9× 550 1.0× 445 1.1× 250 0.6× 158 0.6× 45 1.1k
Thomas P. Slavin 397 0.7× 383 0.7× 253 0.6× 163 0.4× 255 1.0× 44 901
Therese Törngren 310 0.6× 551 1.0× 598 1.4× 153 0.4× 295 1.1× 26 1.1k

Countries citing papers authored by Ricardo Ribas

Since Specialization
Citations

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

Fields of papers citing papers by Ricardo Ribas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricardo Ribas

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