Joana Couto

108 total papers · 1.6k total citations
26 papers, 950 citations indexed

About

Joana Couto is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Joana Couto has authored 26 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 10 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Molecular Biology. Recurrent topics in Joana Couto's work include Thyroid Cancer Diagnosis and Treatment (8 papers), Cancer-related Molecular Pathways (6 papers) and Cancer Cells and Metastasis (3 papers). Joana Couto is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (8 papers), Cancer-related Molecular Pathways (6 papers) and Cancer Cells and Metastasis (3 papers). Joana Couto collaborates with scholars based in Portugal, Switzerland and United States. Joana Couto's co-authors include Mohamed Bentires‐Alj, Hubertus Kohler, Manuel Sobrinho‐Simões, Paula Soares, Atul Sethi, Marie‐May Coissieux, Baptiste Hamelin, Simone Münst, Ryoko Okamoto and Milan Obradović and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Joana Couto

20 papers receiving 935 citations

Hit Papers

Glucocorticoids promote b... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Joana Couto 455 438 189 185 112 26 950
Robert A. Jones 509 1.1× 662 1.5× 360 1.9× 189 1.0× 236 2.1× 29 1.2k
Vincent Vuaroqueaux 266 0.6× 472 1.1× 175 0.9× 122 0.7× 81 0.7× 36 865
Rubén W. Carón 263 0.6× 453 1.0× 187 1.0× 125 0.7× 171 1.5× 44 1.0k
Beth R. Pflug 236 0.5× 556 1.3× 311 1.6× 82 0.4× 298 2.7× 33 1.2k
Efraim H. Rosenberg 231 0.5× 409 0.9× 163 0.9× 119 0.6× 58 0.5× 27 1.1k
J.P. Peyrat 344 0.8× 511 1.2× 218 1.2× 289 1.6× 53 0.5× 30 970
Heng-Yuan Tang 272 0.6× 562 1.3× 170 0.9× 428 2.3× 61 0.5× 24 1.2k
Jaideep V. Thottassery 564 1.2× 570 1.3× 142 0.8× 95 0.5× 59 0.5× 31 1.2k
Heng‐Yuan Tang 259 0.6× 518 1.2× 123 0.7× 325 1.8× 31 0.3× 19 1.1k
José Manuel García-Martínez 292 0.6× 553 1.3× 191 1.0× 154 0.8× 49 0.4× 25 894

Countries citing papers authored by Joana Couto

Since Specialization
Citations

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

Fields of papers citing papers by Joana Couto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joana Couto

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