Vítor Trovisco

9.2k total citations · 1 hit paper
16 papers, 1.8k citations indexed

About

Vítor Trovisco is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Molecular Biology. According to data from OpenAlex, Vítor Trovisco has authored 16 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Oncology and 8 papers in Molecular Biology. Recurrent topics in Vítor Trovisco's work include Thyroid Cancer Diagnosis and Treatment (11 papers), Cancer-related Molecular Pathways (9 papers) and Genetic factors in colorectal cancer (3 papers). Vítor Trovisco is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (11 papers), Cancer-related Molecular Pathways (9 papers) and Genetic factors in colorectal cancer (3 papers). Vítor Trovisco collaborates with scholars based in Portugal, United Kingdom and Brazil. Vítor Trovisco's co-authors include Paula Soares, Manuel Sobrinho‐Simões, Valdemar Máximo, Patrícia Castro, Jorge Lima, Ana Preto, Tiago O. Botelho, Ana Sofia Rocha, João Magalhães and Abrosimov AIu and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Oncogene and Journal of Controlled Release.

In The Last Decade

Vítor Trovisco

15 papers receiving 1.8k citations

Hit Papers

BRAF mutations and RET/PTC rearrangements are alternative... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vítor Trovisco Portugal 13 1.5k 723 694 307 289 16 1.8k
Tihana Ibrahimpašić United States 11 1.5k 1.0× 570 0.8× 481 0.7× 267 0.9× 438 1.5× 13 1.9k
Guangwu Zhu United States 12 1.2k 0.8× 436 0.6× 617 0.9× 168 0.5× 327 1.1× 16 1.6k
Agustín Herrero Spain 12 783 0.5× 464 0.6× 525 0.8× 168 0.5× 258 0.9× 14 1.2k
Mariwil G. Wong United States 23 1.0k 0.7× 430 0.6× 564 0.8× 149 0.5× 419 1.4× 36 1.6k
Gnana P. Krishnamoorthy United States 12 942 0.6× 449 0.6× 457 0.7× 204 0.7× 283 1.0× 16 1.3k
M. L. Carcangiu United States 11 511 0.3× 340 0.5× 585 0.8× 172 0.6× 310 1.1× 13 1.4k
Pierre Vanden Borre United States 13 478 0.3× 321 0.4× 284 0.4× 139 0.5× 148 0.5× 16 791
Shenshen Dou United States 6 548 0.4× 351 0.5× 482 0.7× 136 0.4× 267 0.9× 10 1.2k
Dominique Vaur France 17 145 0.1× 158 0.2× 329 0.5× 282 0.9× 288 1.0× 34 919
Consuelo D'Ambrosio United States 16 666 0.4× 360 0.5× 853 1.2× 32 0.1× 101 0.3× 25 1.3k

Countries citing papers authored by Vítor Trovisco

Since Specialization
Citations

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

Fields of papers citing papers by Vítor Trovisco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vítor Trovisco

This figure shows the co-authorship network connecting the top 25 collaborators of Vítor Trovisco. A scholar is included among the top collaborators of Vítor Trovisco 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 Vítor Trovisco. Vítor Trovisco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Bates, Stephanie M., Michael J. Munson, Vítor Trovisco, et al.. (2025). The kinetics of endosomal disruption reveal differences in lipid nanoparticle induced cellular toxicity. Journal of Controlled Release. 386. 114047–114047.
2.
Trovisco, Vítor, Katsiaryna Belaya, Dmitry Nashchekin, et al.. (2016). bicoid mRNA localises to the Drosophila oocyte anterior by random Dynein-mediated transport and anchoring. eLife. 5. 29 indexed citations
3.
Morais‐de‐Sá, Eurico, Antonio Pereira Vega, Vítor Trovisco, & Daniel St Johnston. (2013). Oskar Is Targeted for Degradation by the Sequential Action of Par-1, GSK-3, and the SCF-Slimb Ubiquitin Ligase. Developmental Cell. 26(3). 303–314. 16 indexed citations
4.
Prazeres, Hugo, Joana Couto, Fernando Rodrigues, et al.. (2011). In vitro transforming potential, intracellular signaling properties, and sensitivity to a kinase inhibitor (sorafenib) of RET proto-oncogene variants Glu511Lys, Ser649Leu, and Arg886Trp. Endocrine Related Cancer. 18(4). 401–412. 11 indexed citations
5.
Bauer, Jürgen, Julie Weng, Electron Kebebew, et al.. (2009). Germline variation of the melanocortin‐1 receptor does not explain shared risk for melanoma and thyroid cancer. Experimental Dermatology. 18(6). 548–552. 4 indexed citations
6.
Sobrinho‐Simões, Manuel, Valdemar Máximo, Ana Sofia Rocha, et al.. (2008). Intragenic Mutations in Thyroid Cancer. Endocrinology and Metabolism Clinics of North America. 37(2). 333–362. 81 indexed citations
7.
Preto, Ana, Ana Sofia Rocha, Valdemar Máximo, et al.. (2007). Molecular and Genotypic Characterization of Human Thyroid Follicular Cell Carcinoma–Derived Cell Lines. Thyroid. 17(8). 707–715. 84 indexed citations
8.
Trovisco, Vítor, Paula Soares, Ana Preto, et al.. (2007). Molecular genetics of papillary thyroid carcinoma: great expectations.... Arquivos Brasileiros de Endocrinologia & Metabologia. 51(5). 643–653. 31 indexed citations
9.
Rocha, Ana Sofia, Bjørn Risberg, João Magalhães, et al.. (2006). The p75 neurotrophin receptor is widely expressed in conventional papillary thyroid carcinoma. Human Pathology. 37(5). 562–568. 24 indexed citations
10.
Trovisco, Vítor, Paula Soares, & Manuel Sobrinho‐Simões. (2006). B-RAF mutations in the etiopathogenesis, diagnosis, and prognosis of thyroid carcinomas. Human Pathology. 37(7). 781–786. 67 indexed citations
11.
Castro, Patrícia, R. Villavicencio, Juliana Magalhães, et al.. (2006). PAX8-PPARγ Rearrangement Is Frequently Detected in the Follicular Variant of Papillary Thyroid Carcinoma. The Journal of Clinical Endocrinology & Metabolism. 91(1). 213–220. 194 indexed citations
12.
Trovisco, Vítor, et al.. (2005). A new BRAF gene mutation detected in a case of a solid variant of papillary thyroid carcinoma. Human Pathology. 36(6). 694–697. 77 indexed citations
13.
Trovisco, Vítor, Paula Soares, Ana Preto, et al.. (2005). Type and prevalence of BRAF mutations are closely associated with papillary thyroid carcinoma histotype and patients’ age but not with tumour aggressiveness. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 446(6). 589–595. 203 indexed citations
14.
Trovisco, Vítor, Inês Vieira de Castro, Paula Soares, et al.. (2004). BRAF mutations are associated with some histological types of papillary thyroid carcinoma. The Journal of Pathology. 202(2). 247–251. 297 indexed citations
15.
Lima, Jorge, Vítor Trovisco, Paula Soares, et al.. (2004). BRAFMutations Are Not a Major Event in Post-Chernobyl Childhood Thyroid Carcinomas. The Journal of Clinical Endocrinology & Metabolism. 89(9). 4267–4271. 151 indexed citations
16.
Soares, Paula, Vítor Trovisco, Ana Sofia Rocha, et al.. (2003). BRAF mutations and RET/PTC rearrangements are alternative events in the etiopathogenesis of PTC. Oncogene. 22(29). 4578–4580. 533 indexed citations breakdown →

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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