Tamara Sequeiros

13 total papers · 429 total citations
8 papers, 310 citations indexed

About

Tamara Sequeiros is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Tamara Sequeiros has authored 8 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 4 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Tamara Sequeiros's work include Prostate Cancer Treatment and Research (6 papers), Prostate Cancer Diagnosis and Treatment (2 papers) and Extracellular vesicles in disease (2 papers). Tamara Sequeiros is often cited by papers focused on Prostate Cancer Treatment and Research (6 papers), Prostate Cancer Diagnosis and Treatment (2 papers) and Extracellular vesicles in disease (2 papers). Tamara Sequeiros collaborates with scholars based in Spain, Netherlands and United States. Tamara Sequeiros's co-authors include Jaume Reventós, Marina Rigau, Melania Montes, Andreas Doll, Juan Moróte, Marta García, Eva Colás, Inés de Torres, Mireia Oliván and Jacques Planas and has published in prestigious journals such as International Journal of Molecular Sciences, BioMed Research International and Oncotarget.

In The Last Decade

Tamara Sequeiros

8 papers receiving 305 citations

Author Peers

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

Author Last Decade Papers Cites
Tamara Sequeiros 205 138 93 38 34 8 310
Shane Colborne 248 1.2× 59 0.4× 49 0.5× 43 1.1× 16 0.5× 10 336
Maria Lycke 90 0.4× 91 0.7× 39 0.4× 45 1.2× 22 0.6× 12 273
Elena Martínez-García 177 0.9× 136 1.0× 36 0.4× 28 0.7× 27 0.8× 11 312
Melania Montes 153 0.7× 110 0.8× 95 1.0× 38 1.0× 10 0.3× 10 250
Julia Garcia 136 0.7× 76 0.6× 110 1.2× 8 0.2× 39 1.1× 11 327
Liudmila Velikokhatnaya 113 0.6× 74 0.5× 40 0.4× 35 0.9× 34 1.0× 7 357
Massimo Gion 154 0.8× 108 0.8× 51 0.5× 18 0.5× 23 0.7× 8 327
Jiamin Gao 209 1.0× 107 0.8× 38 0.4× 31 0.8× 62 1.8× 7 358
G. C. Torre 105 0.5× 66 0.5× 42 0.5× 13 0.3× 44 1.3× 8 322
Shiau-Chin Liu 189 0.9× 83 0.6× 34 0.4× 15 0.4× 99 2.9× 8 356

Countries citing papers authored by Tamara Sequeiros

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Sequeiros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Sequeiros

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