Olivia Cheng

901 citations
6 papers · 754 · h-index 5

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
    • Reproductive System and Pregnancy
  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 5
    • Immunotherapy and Immune Responses 2
    • Cytomegalovirus and herpesvirus research 2

Olivia Cheng

6 papers receiving 745 citations

Peers

Olivia Cheng
Comparison fields: 5 of 50
  • Immunology 702
  • Oncology 233
  • Hematology 34
  • Hepatology 16
  • Epidemiology 64
Replace Laura L. Quinn with:
Laura L. Quinn United Kingdom
Giso Brasser Netherlands
Kirsten M. L. Hertoghs Netherlands
Marine de Marcken United States
Joanna H. Maltbaek United States
Y Norihisa United States
Elisabeth Littwitz-Salomon Germany
Danielle Califano United States
Jena E. Moseman United States
Jason Brady Australia
Olivia Cheng relative to Laura L. Quinn United Kingdom Laura L. Quinn's profile →
Citations per field
00.5×2.7×
Laura L. Quinn · 1×
Citations per year

Countries citing papers authored by Olivia Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Olivia Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2001321
2 2001127
3 2001118
4 2002113
5 200371
6 20244

About Olivia Cheng

Olivia Cheng is a scholar working on Immunology, Epidemiology, Cardiology and Cardiovascular Medicine, Oncology and Pharmacology, having authored 6 papers that have together received 754 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Pharmacological Effects of Natural Compounds (1 paper), Viral Infections and Immunology Research (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Immunology (702 citations), Oncology (233 citations), Hematology (34 citations), Hepatology (16 citations) and Epidemiology (64 citations). Olivia Cheng has collaborated with scholars based in United States, Japan and Poland. Frequent co-authors include Mark A. Exley, Steven P. Balk, Syed Muhammad Tahir, Angela Shaulov, Yasuhiko Koezuka, Glenn J. Bubley, S. Brian Wilson, Nancy J. Bigley, Harold F. Stills and Robin Joyce. Their work appears in journals such as The Journal of Immunology, Journal of Leukocyte Biology, Immunology and Scandinavian Journal of Immunology.

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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