Isabel Leung

866 citations
7 papers · 220 · h-index 6

Impact in

    • CAR-T cell therapy research
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Glycosylation and Glycoproteins Research 2
    • Ubiquitin and proteasome pathways 2
    • CAR-T cell therapy research 5

Isabel Leung

7 papers receiving 218 citations

Peers

Isabel Leung
Comparison fields: 5 of 32
  • Oncology 145
  • Immunology 80
  • Radiology, Nuclear Medicine and Imaging 35
  • Molecular Biology 93
  • Genetics 34
Replace Zea Melton with:
Zea Melton United States
Nicola Mitwasi Germany
Lemei Jia China
Melissa Pille Belgium
Jan C. Schmollinger Germany
Shenxia Xie China
Ethan Gerdts United States
Charlotte U. Zajc Austria
Sarah Bonte Belgium
Diana Gumber United States
Isabel Leung relative to Zea Melton United States Zea Melton's profile →
Citations per field
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Citations per year

Countries citing papers authored by Isabel Leung

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Leung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 202198
2 202249
3 201629
4 201615
5 202215
6 202213
7 20201

About Isabel Leung

Isabel Leung is a scholar working on Molecular Biology, Oncology, Immunology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 220 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Glycosylation and Glycoproteins Research (2 papers), T-cell and B-cell Immunology (2 papers), Ubiquitin and proteasome pathways (2 papers), Immune Cell Function and Interaction (2 papers), Monoclonal and Polyclonal Antibodies Research (1 paper) and Nanowire Synthesis and Applications (1 paper). The work is most often cited by research in Oncology (145 citations), Immunology (80 citations), Radiology, Nuclear Medicine and Imaging (35 citations), Molecular Biology (93 citations) and Genetics (34 citations). Isabel Leung has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Sachdev S. Sidhu, Stanley R. Riddell, Anusha Rajan, Alexander I. Salter, Daniel Sommermeyer, Jeffrey R. Whiteaker, Sarah A. Shelby, Amanda G. Paulovich, Jacob J. Kennedy and Valentin Voillet. Their work appears in journals such as Journal of Molecular Biology, Blood Advances, Science Signaling, Proceedings of the National Academy of Sciences and Nature Biotechnology.

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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