Tamara Sequeiros

430 total citations
8 papers, 312 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 312 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), Cancer, Lipids, and Metabolism (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), Cancer, Lipids, and Metabolism (2 papers) and Extracellular vesicles in disease (2 papers). Tamara Sequeiros collaborates with scholars based in Spain, Netherlands and United Kingdom. Tamara Sequeiros's co-authors include Marina Rigau, Jaume Reventós, Melania Montes, Andreas Doll, Juan Moróte, Eva Colás, Marta García, 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 307 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tamara Sequeiros Spain 7 207 138 93 38 34 8 312
Shane Colborne Canada 8 252 1.2× 60 0.4× 50 0.5× 43 1.1× 16 0.5× 10 342
Maria Lycke Sweden 8 90 0.4× 92 0.7× 39 0.4× 45 1.2× 23 0.7× 12 276
Mirella S. Vredenbregt‐van den Berg Netherlands 5 354 1.7× 258 1.9× 80 0.9× 14 0.4× 28 0.8× 5 406
Elena Martínez-García Spain 9 178 0.9× 137 1.0× 36 0.4× 28 0.7× 28 0.8× 11 316
Jennifer X. Ji Canada 7 107 0.5× 31 0.2× 36 0.4× 15 0.4× 12 0.4× 9 219
Mason Schoenfeldt United States 6 94 0.5× 45 0.3× 75 0.8× 12 0.3× 19 0.6× 17 191
Pilar Sánchez‐Mosquera Spain 4 298 1.4× 191 1.4× 32 0.3× 15 0.4× 22 0.6× 4 315
Karin Welén Sweden 8 118 0.6× 69 0.5× 142 1.5× 5 0.1× 18 0.5× 12 278
Weihua Lou China 8 103 0.5× 52 0.4× 37 0.4× 33 0.9× 78 2.3× 23 328
Edward Geeurickx Belgium 5 241 1.2× 184 1.3× 51 0.5× 11 0.3× 22 0.6× 7 305

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

8 of 8 papers shown
1.
Sequeiros, Tamara, Marina Rigau, Cristina Chiva, et al.. (2016). Targeted proteomics in urinary extracellular vesicles identifies biomarkers for diagnosis and prognosis of prostate cancer. Oncotarget. 8(3). 4960–4976. 93 indexed citations
2.
Campoy, Irene, Tamara Sequeiros, Sílvia Cabrera, et al.. (2016). Exosome-like vesicles in uterine aspirates: a comparison of ultracentrifugation-based isolation protocols. Journal of Translational Medicine. 14(1). 180–180. 73 indexed citations
3.
Oliván, Mireia, Marina Rigau, Eva Colás, et al.. (2015). Simultaneous Treatment with Statins and Aspirin Reduces the Risk of Prostate Cancer Detection and Tumorigenic Properties in Prostate Cancer Cell Lines. BioMed Research International. 2015. 1–11. 17 indexed citations
4.
Sequeiros, Tamara, Marina Rigau, Melania Montes, et al.. (2015). Urinary biomarkers for the detection of prostate cancer in patients with high‐grade prostatic intraepithelial neoplasia. The Prostate. 75(10). 1102–1113. 15 indexed citations
5.
Rigau, Marina, Mireia Oliván, Marta García, et al.. (2013). The Present and Future of Prostate Cancer Urine Biomarkers. International Journal of Molecular Sciences. 14(6). 12620–12649. 56 indexed citations
6.
Sequeiros, Tamara, Marta García, Melania Montes, et al.. (2013). Molecular Markers for Prostate Cancer in Formalin-Fixed Paraffin-Embedded Tissues. BioMed Research International. 2013. 1–15. 16 indexed citations
7.
Doll, Andreas, Marta García, Marina Rigau, et al.. (2013). [Molecular biology of bone metastases].. PubMed. 66(5). 463–74. 1 indexed citations
8.
Rigau, Marina, Maria Carmen Mir, Marta García, et al.. (2011). A Three‐Gene panel on urine increases PSA specificity in the detection of prostate cancer. The Prostate. 71(16). 1736–1745. 41 indexed citations

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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