Instituto Gulbenkian de Ciência

3.4k papers receiving 168.8k citations

Peers

Instituto Gulbenkian de Ciência
Comparison fields: 5 of 235
  • Physiology 4.1k
  • Cell Biology 12k
  • Molecular Biology 50.7k
  • Immunology 15.5k
  • Genetics 16.2k
Replace Centro de Neurociências e Biologia Celular with:
Centro de Neurociências e Biologia Celular Portugal
Instituto de Medicina Molecular João Lobo Antunes
Instituto de Biologia Molecular e Celular
Centro de Biología Molecular Severo Ochoa Spain
Centro Nacional de Biotecnología Spain
Centro de Investigaciones Biológicas Margarita Salas Spain
Instituto de Investigaciones Biomédicas Sols-Morreale Spain
Spanish National Cancer Research Centre Spain
Spanish National Centre for Cardiovascular Research Spain
Centro de Investigación Médica Aplicada Spain
Instituto Gulbenkian de Ciência relative to Centro de Neurociências e Biologia Celular Portugal Centro de Neurociências e Biologia Celular's profile →
Citations per field
00.5×2×3×3.8×
Centro de Neurociências e Biologia Celular · 1×
Citations per year

Countries citing scholars working at Instituto Gulbenkian de Ciência

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Instituto Gulbenkian de Ciência. 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 papers produced at Instituto Gulbenkian de Ciência with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Instituto Gulbenkian de Ciência more than expected).

Fields of papers published by authors at Instituto Gulbenkian de Ciência

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Instituto Gulbenkian de Ciência at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Instituto Gulbenkian de Ciência at the time of their publication.

About Instituto Gulbenkian de Ciência

In recent decades, authors affiliated with Instituto Gulbenkian de Ciência have published 3.4k papers, which have received a total of 168.9k indexed citations . Scholars at this organization have produced 88 papers in Physiology, 295 papers in Cell Biology, 331 papers in Immunology, 491 papers in Genetics and 1k papers in Molecular Biology on the topics of Developmental Biology and Gene Regulation (190 papers), T-cell and B-cell Immunology (184 papers), Evolution and Genetic Dynamics (168 papers), Fungal and yeast genetics research (124 papers), Microtubule and mitosis dynamics (123 papers), Malaria Research and Control (118 papers), Animal Behavior and Reproduction (107 papers) and Genetic diversity and population structure (94 papers). Their work is cited by papers focused on Physiology (4.1k citations), Cell Biology (12k citations), Molecular Biology (50.7k citations), Immunology (15.5k citations) and Genetics (16.2k citations). Authors at Instituto Gulbenkian de Ciência collaborate with scholars in Portugal, United States and United Kingdom and have published in prestigious journals including PLoS ONE, Proceedings of the National Academy of Sciences, Scientific Reports, Nature Communications and The Journal of Immunology. Some of Instituto Gulbenkian de Ciência's most productive authors include Miguel Parreira Soares, Joaquim Alexandre Ribeiro, Rui F. Oliveira, Nathalie O.P. van Uden, José Alberto Feijó, Ana Maria Sebastião, Jocelyne Demengeot, Isabel Gordo, Mónica Bettencourt‐Dias and Jörg Dieter Becker.

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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