Olivia Smith

1.4k citations
15 papers · 383 · h-index 8

Impact in

    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 3
    • IL-33, ST2, and ILC Pathways 2
    • Single-cell and spatial transcriptomics 2
    • CRISPR and Genetic Engineering 2
    • Viral Infectious Diseases and Gene Expression in Insects 2

Olivia Smith

13 papers receiving 378 citations

Peers

Olivia Smith
Comparison fields: 5 of 43
  • Immunology 177
  • Oncology 167
  • Genetics 88
  • Cancer Research 28
  • Infectious Diseases 34
Replace Sören Reinke with:
Sören Reinke United Kingdom
Hyeonjeong Kang South Korea
Soji Toda Japan
Judy Peng Australia
Kerri R. Thomas United States
Jeff Hooley United States
Carole Dantin Switzerland
Colleen J. Winstead United States
Carmen Stecher Austria
Valdimara Corrêa Vieira Brazil
Olivia Smith relative to Sören Reinke United Kingdom Sören Reinke's profile →
Citations per field
00.5×1.5×2.1×
Sören Reinke · 1×
Citations per year

Countries citing papers authored by Olivia Smith

Since Specialization
Citations

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

Fields of papers citing papers by Olivia Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2021105
2 200568
3 201953
4 201949
5 202442
6 202325
7 201917
8 202412
9 20235
10 20214
11 20191
12 20181
13 20191
14 20230
15 20250

About Olivia Smith

Olivia Smith is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Surgery, having authored 15 papers that have together received 383 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Single-cell and spatial transcriptomics (2 papers), Virus-based gene therapy research (2 papers), CRISPR and Genetic Engineering (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Immunology (177 citations), Oncology (167 citations), Genetics (88 citations), Cancer Research (28 citations) and Infectious Diseases (34 citations). Olivia Smith has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Jason Smith, Alexander G. Heriot, Paris Tekkis, R J Nicholls, Alastair Windsor, Tyler Jacks, Jason M. Schenkel, Coralie M. Backlund, J. J. Patten and George Eng. Their work appears in journals such as Human Gene Therapy Methods, Nature Cancer, Frontiers in Oncology, Science Immunology and Journal of Fungi.

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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