Rubina Alves

53 total papers · 1.2k total citations
17 papers, 725 citations indexed

About

Rubina Alves is a scholar working on Urology, Dermatology and Epidemiology. According to data from OpenAlex, Rubina Alves has authored 17 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Urology, 6 papers in Dermatology and 5 papers in Epidemiology. Recurrent topics in Rubina Alves's work include Hair Growth and Disorders (8 papers), Skin and Cellular Biology Research (4 papers) and Facial Rejuvenation and Surgery Techniques (3 papers). Rubina Alves is often cited by papers focused on Hair Growth and Disorders (8 papers), Skin and Cellular Biology Research (4 papers) and Facial Rejuvenation and Surgery Techniques (3 papers). Rubina Alves collaborates with scholars based in Portugal, Spain and France. Rubina Alves's co-authors include Ramón Grimalt, Esmeralda Vale, Juan Ferrando, John P. Cole, Patrick Tonnard, Angelo Trivisonno, Isabel Viana, Alexis Verpaele, G. Magalon and Jérémy Magalon and has published in prestigious journals such as Dermatologic Surgery, Expert Opinion on Biological Therapy and Dermatology and Therapy.

In The Last Decade

Rubina Alves

15 papers receiving 681 citations

Hit Papers

A Review of Platelet-Rich... 2017 2026 2020 2023 2017 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
Rubina Alves 480 256 210 77 70 17 725
Satoshi Kushida 470 1.0× 141 0.6× 363 1.7× 174 2.3× 53 0.8× 18 824
Matthew Blanton 420 0.9× 96 0.4× 381 1.8× 150 1.9× 20 0.3× 10 799
Daniel Man 310 0.6× 109 0.4× 379 1.8× 75 1.0× 16 0.2× 22 630
Kerstin J Rolfe 108 0.2× 190 0.7× 113 0.5× 371 4.8× 48 0.7× 16 726
Nicolas Serratrice 236 0.5× 43 0.2× 221 1.1× 34 0.4× 31 0.4× 30 636
Kohya Uematsu 546 1.1× 42 0.2× 157 0.7× 48 0.6× 22 0.3× 16 745
Camilla Di Pasquali 238 0.5× 124 0.5× 411 2.0× 194 2.5× 15 0.2× 17 763
Toshimitsu Okudera 504 1.1× 50 0.2× 122 0.6× 49 0.6× 23 0.3× 23 695
Ilaria Bocchini 241 0.5× 165 0.6× 425 2.0× 217 2.8× 14 0.2× 19 791
Chen‐Yao Su 463 1.0× 35 0.1× 192 0.9× 67 0.9× 16 0.2× 18 742

Countries citing papers authored by Rubina Alves

Since Specialization
Citations

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

Fields of papers citing papers by Rubina Alves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rubina Alves

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