Tânia Albuquerque

35 total papers · 479 total citations
21 papers, 335 citations indexed

About

Tânia Albuquerque is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Physiology. According to data from OpenAlex, Tânia Albuquerque has authored 21 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Endocrine and Autonomic Systems and 5 papers in Physiology. Recurrent topics in Tânia Albuquerque's work include RNA Interference and Gene Delivery (10 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Circadian rhythm and melatonin (6 papers). Tânia Albuquerque is often cited by papers focused on RNA Interference and Gene Delivery (10 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Circadian rhythm and melatonin (6 papers). Tânia Albuquerque collaborates with scholars based in Portugal, India and Spain. Tânia Albuquerque's co-authors include Diana Costa, Telma Quintela, Cecília R.A. Santos, Isabel Gonçalves, João A. Queiroz, Ana Catarina Duarte, Ângela Sousa, Daniela Talhada, Joana Tomás and Fernanda Marques and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Cellular Physiology and Colloids and Surfaces B Biointerfaces.

In The Last Decade

Tânia Albuquerque

21 papers receiving 333 citations

Author Peers

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

Author Last Decade Papers Cites
Tânia Albuquerque 124 104 71 61 31 21 335
Xingzhi Chang 87 0.7× 94 0.9× 61 0.9× 41 0.7× 17 0.5× 23 403
Manami Sato 158 1.3× 47 0.5× 47 0.7× 35 0.6× 28 0.9× 26 368
Kerry Rennie 123 1.0× 68 0.7× 56 0.8× 43 0.7× 11 0.4× 14 392
S. Bl�mcke 109 0.9× 72 0.7× 128 1.8× 83 1.4× 18 0.6× 24 396
Joshua Ortiz‐Guzman 118 1.0× 96 0.9× 102 1.4× 60 1.0× 20 0.6× 18 380
Lorryn Fisher 115 0.9× 33 0.3× 87 1.2× 56 0.9× 38 1.2× 18 368
Byong Seo Park 120 1.0× 106 1.0× 32 0.5× 88 1.4× 18 0.6× 27 348
Joana Tomás 139 1.1× 29 0.3× 76 1.1× 45 0.7× 24 0.8× 19 344
Shyh‐Yuh Liou 191 1.5× 51 0.5× 124 1.7× 42 0.7× 20 0.6× 18 392
Ayako Ishida 131 1.1× 35 0.3× 100 1.4× 30 0.5× 14 0.5× 24 368

Countries citing papers authored by Tânia Albuquerque

Since Specialization
Citations

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

Fields of papers citing papers by Tânia Albuquerque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tânia Albuquerque

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