Cláudia Azevedo

26 total papers · 667 total citations
16 papers, 506 citations indexed

About

Cláudia Azevedo is a scholar working on Molecular Biology, Pharmaceutical Science and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Cláudia Azevedo has authored 16 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Pharmaceutical Science and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Cláudia Azevedo's work include Advanced Drug Delivery Systems (3 papers), Glycosylation and Glycoproteins Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Cláudia Azevedo is often cited by papers focused on Advanced Drug Delivery Systems (3 papers), Glycosylation and Glycoproteins Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Cláudia Azevedo collaborates with scholars based in Portugal, Norway and United States. Cláudia Azevedo's co-authors include Bruno Sarmento, João R. Araújo, Fátima Martel, Ana Correia‐Branco, Elisa Keating, João Tiago Guimarães, Rute Nunes, Maria Helena Macedo, Jan Terje Andersen and Jeannette Nilsen and has published in prestigious journals such as Advanced Drug Delivery Reviews, Journal of Controlled Release and International Journal of Pharmaceutics.

In The Last Decade

Cláudia Azevedo

15 papers receiving 500 citations

Author Peers

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

Author Last Decade Papers Cites
Cláudia Azevedo 195 105 92 59 47 16 506
Raghuvir H. Gaonkar 203 1.0× 79 0.8× 132 1.4× 68 1.2× 50 1.1× 25 519
Hua Yu 197 1.0× 133 1.3× 123 1.3× 42 0.7× 56 1.2× 26 580
Sara Nikoofal‐Sahlabadi 176 0.9× 70 0.7× 143 1.6× 123 2.1× 60 1.3× 16 467
Ketan Amin 248 1.3× 103 1.0× 111 1.2× 76 1.3× 27 0.6× 14 514
Hongru Yang 193 1.0× 49 0.5× 85 0.9× 37 0.6× 60 1.3× 29 547
Hanlu Gao 180 0.9× 95 0.9× 55 0.6× 95 1.6× 28 0.6× 22 503
Maria Abdul Ghafoor Raja 206 1.1× 112 1.1× 110 1.2× 48 0.8× 32 0.7× 28 550
R Parikh 165 0.8× 86 0.8× 61 0.7× 92 1.6× 44 0.9× 10 542
Tina Kauss 188 1.0× 62 0.6× 73 0.8× 84 1.4× 31 0.7× 26 570
Heliang Song 209 1.1× 73 0.7× 93 1.0× 75 1.3× 25 0.5× 15 459

Countries citing papers authored by Cláudia Azevedo

Since Specialization
Citations

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

Fields of papers citing papers by Cláudia Azevedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cláudia Azevedo

This figure shows the co-authorship network connecting the top 25 collaborators of Cláudia Azevedo. A scholar is included among the top collaborators of Cláudia Azevedo 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 Cláudia Azevedo. Cláudia Azevedo 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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2026