João Vinagre

3.5k total citations
50 papers, 1.2k citations indexed

About

João Vinagre is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, João Vinagre has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Oncology and 14 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in João Vinagre's work include Thyroid Cancer Diagnosis and Treatment (13 papers), Cancer-related Molecular Pathways (10 papers) and Neuroendocrine Tumor Research Advances (9 papers). João Vinagre is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (13 papers), Cancer-related Molecular Pathways (10 papers) and Neuroendocrine Tumor Research Advances (9 papers). João Vinagre collaborates with scholars based in Portugal, Brazil and Spain. João Vinagre's co-authors include Paula Soares, Manuel Sobrinho‐Simões, José Manuel Lopes, Rui Batısta, Valdemar Máximo, Hugo Prazeres, Catarina Eloy, Helena Pópulo, Ana Pestana and Ricardo Celestino and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

João Vinagre

46 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
João Vinagre Portugal 21 438 356 341 237 207 50 1.2k
Daniela Vivenza Italy 24 253 0.6× 217 0.6× 389 1.1× 148 0.6× 287 1.4× 57 1.4k
Valerio Gaetano Vellone Italy 29 443 1.0× 193 0.5× 383 1.1× 406 1.7× 58 0.3× 136 2.2k
J. Hun Hah South Korea 26 236 0.5× 365 1.0× 441 1.3× 796 3.4× 176 0.9× 87 1.7k
Yasuhide Kitagawa Japan 17 437 1.0× 85 0.2× 249 0.7× 177 0.7× 103 0.5× 61 1.1k
Paolo Scollo Italy 23 499 1.1× 104 0.3× 234 0.7× 329 1.4× 41 0.2× 97 1.9k
Daniela Luvero Italy 21 288 0.7× 90 0.3× 261 0.8× 359 1.5× 48 0.2× 66 1.4k
Fangying Xu China 20 545 1.2× 109 0.3× 379 1.1× 92 0.4× 59 0.3× 35 1.3k
Norbert Jorch Germany 19 336 0.8× 109 0.3× 160 0.5× 95 0.4× 48 0.2× 41 1.3k
Fabiano Sandrini United States 17 344 0.8× 262 0.7× 293 0.9× 508 2.1× 33 0.2× 25 1.2k
Alfredo A. Santillan United States 20 146 0.3× 89 0.3× 568 1.7× 491 2.1× 147 0.7× 31 1.2k

Countries citing papers authored by João Vinagre

Since Specialization
Citations

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

Fields of papers citing papers by João Vinagre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of João Vinagre

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

All Works

20 of 20 papers shown
1.
Paula, Arnaud Da Cruz, Raquel T. Lima, Rui Batısta, et al.. (2024). Investigating USP42 Mutation as Underlying Cause of Familial Non-Medullary Thyroid Carcinoma. International Journal of Molecular Sciences. 25(3). 1522–1522.
2.
Gaspar, Tiago Bordeira, Tito T. Jesus, Sofia Macedo, et al.. (2023). Generation of an Obese Diabetic Mouse Model upon Conditional Atrx Disruption. Cancers. 15(11). 3018–3018.
3.
Prochazkova‐Carlotti, Martina, Rui Batısta, Ana Pestana, et al.. (2023). Spotlight on hTERT Complex Regulation in Cutaneous T-Cell Lymphomas. Genes. 14(2). 439–439. 3 indexed citations
4.
Jesus, Tito T., et al.. (2023). Personalized Medicine in Medullary Thyroid Carcinoma: A Broad Review of Emerging Treatments. Journal of Personalized Medicine. 13(7). 1132–1132. 5 indexed citations
5.
Canberk, Şule, et al.. (2022). DGCR8 Microprocessor Subunit Mutation and Expression Deregulation in Thyroid Lesions. International Journal of Molecular Sciences. 23(23). 14812–14812. 5 indexed citations
6.
Gaspar, Tiago Bordeira, Sofia Macedo, Nuno Mendes, et al.. (2022). Characterisation of an Atrx Conditional Knockout Mouse Model: Atrx Loss Causes Endocrine Dysfunction Rather Than Pancreatic Neuroendocrine Tumour. Cancers. 14(16). 3865–3865. 5 indexed citations
7.
8.
9.
Campos, Manuel, Sofia Macedo, Ana Pestana, et al.. (2020). Prognostic Significance of RAS Mutations and P53 Expression in Cutaneous Squamous Cell Carcinomas. Genes. 11(7). 751–751. 15 indexed citations
10.
Batısta, Rui, Luís Lima, João Vinagre, et al.. (2020). TERT Promoter Mutation as a Potential Predictive Biomarker in BCG-Treated Bladder Cancer Patients. International Journal of Molecular Sciences. 21(3). 947–947. 21 indexed citations
11.
Santos, Ana Paula, João Vinagre, Paula Soares, et al.. (2019). Gastroenteropancreatic Neuroendocrine Neoplasia Characterization in Portugal: Results from the NETs Study Group of the Portuguese Society of Endocrinology, Diabetes and Metabolism. International Journal of Endocrinology. 2019. 1–10. 4 indexed citations
12.
Campos, Manuel, Sofia Macedo, Ana Pestana, et al.. (2018). TERT promoter mutations are associated with poor prognosis in cutaneous squamous cell carcinoma. Journal of the American Academy of Dermatology. 80(3). 660–669.e6. 27 indexed citations
13.
Melo, Miguel, Adriana Gaspar da Rocha, Rui Batısta, et al.. (2017). TERT, BRAF, and NRAS in Primary Thyroid Cancer and Metastatic Disease. The Journal of Clinical Endocrinology & Metabolism. 102(6). 1898–1907. 109 indexed citations
14.
Pópulo, Helena, Paula Boaventura, João Vinagre, et al.. (2014). TERT Promoter Mutations in Skin Cancer: The Effects of Sun Exposure and X-Irradiation. Journal of Investigative Dermatology. 134(8). 2251–2257. 102 indexed citations
15.
Vinagre, João, et al.. (2014). Differentiated thyroid cancer in patients with resistance to thyroid hormone syndrome. A novel case and a review of the literature. Frontiers in Molecular Biosciences. 1. 10–10. 10 indexed citations
16.
Vinagre, João, Rui Batısta, Vasco Pinto, et al.. (2014). mTOR activation in medullary thyroid carcinoma with RAS mutation. European Journal of Endocrinology. 171(5). 633–640. 27 indexed citations
17.
Lopes, José Manuel, João Vinagre, Marcelo Alvarenga, et al.. (2012). Paraganglioma of seminal vesicle and chromophobe renal cell carcinoma: a case report and literature review. Sao Paulo Medical Journal. 130(1). 57–60. 6 indexed citations
18.
Alvelos, Maria Inês, et al.. (2012). MEN1 intragenic deletions may represent the most prevalent somatic event in sporadic primary hyperparathyroidism. European Journal of Endocrinology. 168(2). 119–128. 27 indexed citations
19.
Soares, Paula, Jorge Lima, Ana Preto, et al.. (2011). Genetic Alterations in Poorly Differentiated and Undifferentiated Thyroid Carcinomas. Current Genomics. 12(8). 609–617. 68 indexed citations
20.
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

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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