Carlos Labão‐Almeida

1.1k citations
9 papers · 145 · h-index 5

Impact in

    • IL-33, ST2, and ILC Pathways
    • Immune Cell Function and Interaction
    • Click Chemistry and Applications
    • N-Heterocyclic Carbenes in Organic and Inorganic Chemistry

Papers in

    • Glycosylation and Glycoproteins Research 2
    • Ubiquitin and proteasome pathways 1
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 1

Carlos Labão‐Almeida

8 papers receiving 145 citations

Peers

Carlos Labão‐Almeida
Comparison fields: 5 of 49
  • Immunology 68
  • Organic Chemistry 30
  • Surgery 35
  • Gastroenterology 4
  • Oncology 14
Replace Tony Tang with:
Tony Tang Taiwan
Zhenyang Yu China
Karla Montalbán‐Hernández Spain
Cheng‐ting Tsai United States
Zhang Yu China
Anna Kats Sweden
Qiuyu Li China
Sixing Yang China
Kristen J. Wilkinson United States
Steven Gay United States
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Citations per year

Countries citing papers authored by Carlos Labão‐Almeida

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Labão‐Almeida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos Labão‐Almeida. 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 Carlos Labão‐Almeida. The network helps show where Carlos Labão‐Almeida may publish in the future.

Co-authors

The 25 scholars most cited alongside Carlos Labão‐Almeida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Carlos Labão‐Almeida Line = papers co-authored together Carlos Labão‐Almeida links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201673
2 201837
3 202412
4 201411
5 20256
6 20252
7 20232
8 20252
9 20240

About Carlos Labão‐Almeida

Carlos Labão‐Almeida is a scholar working on Molecular Biology, Immunology, Oncology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 145 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), CAR-T cell therapy research (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Click Chemistry and Applications (1 paper), Ubiquitin and proteasome pathways (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Immunology (68 citations), Organic Chemistry (30 citations), Surgery (35 citations), Gastroenterology (4 citations) and Oncology (14 citations). Carlos Labão‐Almeida has collaborated with scholars based in Portugal, United Kingdom and Spain. Frequent co-authors include Henrique Veiga‐Fernandes, Gonçalo J. L. Bernardes, Rosalie Molenaar, Tanja Konijn, Gera Goverse, Reina E. Mebius, Jasper J. Koning, Matthias Tacke, María João Matos and Hélder Ribeiro. Their work appears in journals such as Angewandte Chemie International Edition, European Journal of Immunology, Nature Chemistry, Chemistry - A European Journal and Journal of the American Chemical Society.

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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