Javier Casas

1.4k citations
24 papers · 1.0k · h-index 17

Impact in

    • Lipid metabolism and biosynthesis
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Protein Kinase Regulation and GTPase Signaling 4
    • Sphingolipid Metabolism and Signaling 3
    • Glycosylation and Glycoproteins Research 2
    • Cell death mechanisms and regulation 2
    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 6

Javier Casas

24 papers receiving 1.0k citations

Peers

Javier Casas
Comparison fields: 5 of 89
  • Biochemistry 185
  • Immunology 384
  • Oncology 176
  • Molecular Biology 442
  • Cellular and Molecular Neuroscience 106
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Citations per field
00.5×3.7×
Janet Paulsen · 1×
Citations per year

Countries citing papers authored by Javier Casas

Since Specialization
Citations

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

Fields of papers citing papers by Javier Casas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Javier Casas, 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 Javier Casas Line = papers co-authored together Javier Casas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992117
2 2014115
3 201391
4 200883
5 200983
6 201872
7 200569
8 201460
9 201147
10 200747
11 200946
12 201139
13 202036
14 200627
15 201325
16 201122
17 202518
18 200916
19 202112
20 20228

About Javier Casas

Javier Casas is a scholar working on Molecular Biology, Immunology, Oncology, Biochemistry and Surgery, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Lipid metabolism and biosynthesis (3 papers), Sphingolipid Metabolism and Signaling (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cell death mechanisms and regulation (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Biochemistry (185 citations), Immunology (384 citations), Oncology (176 citations), Molecular Biology (442 citations) and Cellular and Molecular Neuroscience (106 citations). Javier Casas has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Marı́a A. Balboa, Jesús Balsinde, Nicholas R. J. Gascoigne, Joanna Brzostek, Guo Fu, Vasily Rybakin, John A. H. Hoerter, Roser Masgrau, David Barneda and Albert Gubern. Their work appears in journals such as Frontiers in Immunology, Journal of Biological Chemistry, The Journal of Immunology, Cellular and Molecular Life Sciences and Proceedings of the National Academy of Sciences.

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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