Henrique Veiga‐Fernandes

8.1k total citations · 2 hit papers
63 papers, 5.6k citations indexed

About

Henrique Veiga‐Fernandes is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Henrique Veiga‐Fernandes has authored 63 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Immunology, 12 papers in Molecular Biology and 10 papers in Surgery. Recurrent topics in Henrique Veiga‐Fernandes's work include Immune Cell Function and Interaction (31 papers), IL-33, ST2, and ILC Pathways (21 papers) and T-cell and B-cell Immunology (15 papers). Henrique Veiga‐Fernandes is often cited by papers focused on Immune Cell Function and Interaction (31 papers), IL-33, ST2, and ILC Pathways (21 papers) and T-cell and B-cell Immunology (15 papers). Henrique Veiga‐Fernandes collaborates with scholars based in Portugal, United Kingdom and United States. Henrique Veiga‐Fernandes's co-authors include Bénédita Rocha, Mark Coles, Dimitris Kioussis, Christine Bourgeois, Hélder Ribeiro, Vassilis Pachnis, Rita G. Domingues, Daniel Mucida, Cristina Godinho‐Silva and Angela R. McLean and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Henrique Veiga‐Fernandes

62 papers receiving 5.5k citations

Hit Papers

Differentiation of Type 1 ILCs from a Common Progenitor t... 2014 2026 2018 2022 2014 2017 250 500 750

Peers

Henrique Veiga‐Fernandes
Anne Jarry France
Adam Lacy‐Hulbert United States
Pandelakis A. Koni United States
Cory Teuscher United States
Arthur Melms Germany
Henrique Veiga‐Fernandes
Citations per year, relative to Henrique Veiga‐Fernandes Henrique Veiga‐Fernandes (= 1×) peers Christoph Schneider

Countries citing papers authored by Henrique Veiga‐Fernandes

Since Specialization
Citations

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

Fields of papers citing papers by Henrique Veiga‐Fernandes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henrique Veiga‐Fernandes. 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 Henrique Veiga‐Fernandes. The network helps show where Henrique Veiga‐Fernandes may publish in the future.

Co-authorship network of co-authors of Henrique Veiga‐Fernandes

This figure shows the co-authorship network connecting the top 25 collaborators of Henrique Veiga‐Fernandes. A scholar is included among the top collaborators of Henrique Veiga‐Fernandes 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 Henrique Veiga‐Fernandes. Henrique Veiga‐Fernandes 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.
Carvalho, Tânia, Pedro Andrade, Filipa Cardoso, et al.. (2025). Engineered Neuromedin U Promotes Type 2 Innate Immunity and Renoprotection in Acute Kidney Injury. Journal of the American Society of Nephrology. 36(11). 2120–2130. 2 indexed citations
2.
Godinho‐Silva, Cristina, et al.. (2025). Neuro‐ILC Interactions in Host Physiology and Defence. European Journal of Immunology. 55(8). e70037–e70037.
3.
Douglas, Aaron, Harry Kane, Evan B. Lynch, et al.. (2024). Rhythmic IL-17 production by γδ T cells maintains adipose de novo lipogenesis. Nature. 636(8041). 206–214. 11 indexed citations
4.
Šestan, Marko, Stephan Wueest, Maria Aliseychik, et al.. (2024). An IFNγ-dependent immune–endocrine circuit lowers blood glucose to potentiate the innate antiviral immune response. Nature Immunology. 25(6). 981–993. 15 indexed citations
5.
Penny, Hugo A., Rita G. Domingues, Felipe Melo-González, et al.. (2022). Rhythmicity of intestinal IgA responses confers oscillatory commensal microbiota mutualism. Science Immunology. 7(75). eabk2541–eabk2541. 37 indexed citations
6.
Chesné, Julie, Hélder Ribeiro, Tânia Carvalho, et al.. (2017). Neuronal regulation of type 2 innate lymphoid cells via neuromedin U. Nature. 549(7671). 277–281. 429 indexed citations breakdown →
7.
Veiga‐Fernandes, Henrique & António A. Freitas. (2017). The S(c)ensory Immune System Theory. Trends in Immunology. 38(10). 777–788. 21 indexed citations
8.
Ibiza, Sales, Hélder Ribeiro, Tânia Carvalho, et al.. (2016). Glial-cell-derived neuroregulators control type 3 innate lymphoid cells and gut defence. Nature. 535(7612). 440–443. 280 indexed citations
9.
Veldhoen, Marc & Henrique Veiga‐Fernandes. (2015). Feeding immunity: skepticism, delicacies and delights. Nature Immunology. 16(3). 215–219. 13 indexed citations
10.
Klose, Christoph S. N., Melanie Flach, Luisa Möhle, et al.. (2014). Differentiation of Type 1 ILCs from a Common Progenitor to All Helper-like Innate Lymphoid Cell Lineages. Cell. 157(2). 340–356. 840 indexed citations breakdown →
11.
Alden, Kieran, Mark Read, Jon Timmis, et al.. (2013). Correction: Spartan: A Comprehensive Tool for Understanding Uncertainty in Simulations of Biological Systems. PLoS Computational Biology. 9(8). 8 indexed citations
12.
Almeida, Afonso R. M., Diogo Fonseca‐Pereira, Hélder Ribeiro, et al.. (2012). RET/GFRα Signals Are Dispensable for Thymic T Cell Development In Vivo. PLoS ONE. 7(12). e52949–e52949. 12 indexed citations
13.
Karamitros, Dimitris, Panoraia Kotantaki, Zoi Lygerou, et al.. (2010). Differential Geminin Requirement for Proliferation of Thymocytes and Mature T Cells. The Journal of Immunology. 184(5). 2432–2441. 29 indexed citations
14.
Veiga‐Fernandes, Henrique, Katie Foster, Amisha Patel, Mark Coles, & Dimitris Kioussis. (2010). Visualisation of Lymphoid Organ Development. Methods in molecular biology. 616. 161–179. 1 indexed citations
15.
Coles, Mark, Dimitris Kioussis, & Henrique Veiga‐Fernandes. (2010). Cellular and Molecular Requirements in Lymph Node and Peyer's Patch Development. Progress in molecular biology and translational science. 92. 177–205. 8 indexed citations
16.
Foster, Katie, Julie M. Sheridan, Henrique Veiga‐Fernandes, et al.. (2008). Contribution of Neural Crest-Derived Cells in the Embryonic and Adult Thymus. The Journal of Immunology. 180(5). 3183–3189. 135 indexed citations
17.
Harker, Nicola, Eleni Ktistaki, Henrique Veiga‐Fernandes, et al.. (2008). Position effect variegation and imprinting of transgenes in lymphocytes. Nucleic Acids Research. 36(7). 2320–2329. 44 indexed citations
18.
Peixoto, António, César Evaristo, Ivana Munitić, et al.. (2007). CD8 single-cell gene coexpression reveals three different effector types present at distinct phases of the immune response. The Journal of Experimental Medicine. 204(5). 1193–1205. 75 indexed citations
19.
Veiga‐Fernandes, Henrique, Mark Coles, Katie Foster, et al.. (2007). Tyrosine kinase receptor RET is a key regulator of Peyer’s Patch organogenesis. Nature. 446(7135). 547–551. 213 indexed citations
20.
Bourgeois, Christine, Henrique Veiga‐Fernandes, Anne‐Marie Joret, Bénédita Rocha, & Corinne Tanchot. (2002). CD8 lethargy in the absence of CD4 help. European Journal of Immunology. 32(8). 2199–2199. 112 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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