Instituto Gulbenkian de Ciência

162.9k citations
3.5k papers ·

Impact in

  • Aging top 2%
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Microtubule and mitosis dynamics 144
    • T-cell and B-cell Immunology 207
    • Immune Cell Function and Interaction 196
    • Immunotherapy and Immune Responses 96

Instituto Gulbenkian de Ciência

3.3k papers receiving 155.1k citations

Peers

Instituto Gulbenkian de Ciência
Comparison fields: 5 of 240
  • Aging 2.5k
  • Immunology 20.9k
  • Molecular Biology 70.6k
  • Physiology 4.3k
  • Cell Biology 15.3k
Replace Centro de Biología Molecular Severo Ochoa with:
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Centro Nacional de Biotecnología Spain
Centre for Biomedical Network Research on Rare Diseases Spain
Instituto Cajal Spain
Spanish National Cancer Research Centre Spain
Instituto de Investigaciones Biomédicas Sols-Morreale Spain
Centro de Investigación del Cáncer Spain
Champalimaud Foundation Portugal
Instituto de Biomedicina de Sevilla Spain
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Instituto Gulbenkian de Ciência relative to Centro de Biología Molecular Severo Ochoa Spain Centro de Biología Molecular Severo Ochoa's profile →
Citations per field
00.5×1.5×
Centro de Biología Molecular Severo Ochoa · 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 3.5k papers, which have received a total of 162.9k indexed citations . Scholars at this organization have produced 367 papers in Cell Biology, 451 papers in Immunology, 39 papers in Aging, 1.5k papers in Molecular Biology and 579 papers in Genetics on the topics of T-cell and B-cell Immunology (207 papers), Immune Cell Function and Interaction (196 papers), Evolution and Genetic Dynamics (173 papers), Microtubule and mitosis dynamics (144 papers), Developmental Biology and Gene Regulation (142 papers), Animal Behavior and Reproduction (135 papers), Plant Molecular Biology Research (124 papers) and Immunotherapy and Immune Responses (96 papers). Their work is cited by papers focused on Aging (2.5k citations), Immunology (20.9k citations), Molecular Biology (70.6k citations), Physiology (4.3k citations) and Cell Biology (15.3k 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, Nature Communications, Scientific Reports, The Journal of Immunology and Proceedings of the National Academy of Sciences. Some of Instituto Gulbenkian de Ciência's most productive authors include Miguel P. Soares, Joaquim A. Ribeiro, Rui F. Oliveira, N. van Uden, José A. Feijó, Ana M. Sebastião, Jocelyne Demengeot, Jörg D. Becker, Mónica Bettencourt‐Dias and Isabel Gordo.

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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