David Rubem Azulay

108 total papers · 946 total citations
51 papers, 555 citations indexed

About

David Rubem Azulay is a scholar working on Dermatology, Epidemiology and Rheumatology. According to data from OpenAlex, David Rubem Azulay has authored 51 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Dermatology, 17 papers in Epidemiology and 7 papers in Rheumatology. Recurrent topics in David Rubem Azulay's work include Nail Diseases and Treatments (7 papers), Acne and Rosacea Treatments and Effects (6 papers) and Cancer and Skin Lesions (5 papers). David Rubem Azulay is often cited by papers focused on Nail Diseases and Treatments (7 papers), Acne and Rosacea Treatments and Effects (6 papers) and Cancer and Skin Lesions (5 papers). David Rubem Azulay collaborates with scholars based in Brazil, Thailand and Switzerland. David Rubem Azulay's co-authors include Maria Fernanda Reis Gavazzoni Dias, Maria Victória Quaresma, João Carlos Regazzi Avelleira, Rubem David Azulay, Sueli Carneiro, Fred Bernardes Filho, Bruna Lavinas Sayed Picciani, José Augusto da Costa Nery, Regina Casz Schechtman and Eliane Pedra Dias and has published in prestigious journals such as Journal of the American Academy of Dermatology, American Journal of Ophthalmology and Journal of Clinical Medicine.

In The Last Decade

David Rubem Azulay

48 papers receiving 527 citations

Author Peers

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

Author Last Decade Papers Cites
David Rubem Azulay 189 160 119 83 73 51 555
Victoria R. Sharon 163 0.9× 132 0.8× 83 0.7× 84 1.0× 52 0.7× 55 500
Sudha Agrawal 177 0.9× 219 1.4× 48 0.4× 71 0.9× 54 0.7× 87 610
R.R.M. Harman 181 1.0× 259 1.6× 91 0.8× 48 0.6× 32 0.4× 57 688
Cí­dia Vasconcellos 185 1.0× 122 0.8× 105 0.9× 44 0.5× 31 0.4× 72 663
T. W. E. Robinson 228 1.2× 156 1.0× 87 0.7× 48 0.6× 23 0.3× 38 511
Jane Tomimori 321 1.7× 178 1.1× 183 1.5× 120 1.4× 30 0.4× 71 671
Young Ho Won 120 0.6× 247 1.5× 45 0.4× 52 0.6× 31 0.4× 55 528
Paul Devakar Yesudian 144 0.8× 253 1.6× 40 0.3× 77 0.9× 41 0.6× 72 538
João Borges‐Costa 196 1.0× 165 1.0× 47 0.4× 57 0.7× 17 0.2× 81 537
R Milbradt 93 0.5× 82 0.5× 39 0.3× 38 0.5× 74 1.0× 50 517

Countries citing papers authored by David Rubem Azulay

Since Specialization
Citations

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

Fields of papers citing papers by David Rubem Azulay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Rubem Azulay. 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 David Rubem Azulay. The network helps show where David Rubem Azulay may publish in the future.

Co-authorship network of co-authors of David Rubem Azulay

This figure shows the co-authorship network connecting the top 25 collaborators of David Rubem Azulay. A scholar is included among the top collaborators of David Rubem Azulay 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 David Rubem Azulay. David Rubem Azulay 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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