Kasper Mølgaard

463 citations
10 papers · 351 · h-index 8

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • CAR-T cell therapy research 4
    • Cancer Immunotherapy and Biomarkers 2
    • Glycosylation and Glycoproteins Research 2
    • Single-cell and spatial transcriptomics 2
    • Viral Infectious Diseases and Gene Expression in Insects 1

Kasper Mølgaard

10 papers receiving 341 citations

Peers

Kasper Mølgaard
Comparison fields: 5 of 50
  • Oncology 216
  • Immunology 155
  • Radiology, Nuclear Medicine and Imaging 118
  • Molecular Biology 116
  • Biomedical Engineering 52
Replace Camille M. Le Gall with:
Camille M. Le Gall Netherlands
Zea Melton United States
Tiffany A. Coupet United States
Frans V. Suurs Netherlands
Brandy Strake United States
Robyn Clark United States
Wout de Mey Belgium
Wenxu Zhao China
Brian T. Rekoske United States
Casey Moore United States
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Citations per field
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Citations per year

Countries citing papers authored by Kasper Mølgaard

Since Specialization
Citations

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

Fields of papers citing papers by Kasper Mølgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2018162
2 201765
3 201628
4 202228
5 201822
6 201916
7 202114
8 201713
9 20212
10 20211

About Kasper Mølgaard

Kasper Mølgaard is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics and Immunology, having authored 10 papers that have together received 351 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), CAR-T cell therapy research (4 papers), Glycosylation and Glycoproteins Research (2 papers), Single-cell and spatial transcriptomics (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Immune Cell Function and Interaction (2 papers), Virus-based gene therapy research (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Oncology (216 citations), Immunology (155 citations), Radiology, Nuclear Medicine and Imaging (118 citations), Molecular Biology (116 citations) and Biomedical Engineering (52 citations). Kasper Mølgaard has collaborated with scholars based in Denmark, Spain and Switzerland. Frequent co-authors include Özcan Met, Inge Marie Svane, Marco Donia, Christopher A. Chamberlain, Marta Compte, Francisco J. Blanco, Laura Sanz, Nekane Merino, Luis Álvarez‐Vallina and Seandean L. Harwood. Their work appears in journals such as Frontiers in Immunology, Journal of Visualized Experiments, Seminars in Immunopathology, OncoImmunology and Gene Therapy.

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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