Olivia Gardner

1.2k citations
22 papers · 966 · h-index 13

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Cutaneous Melanoma Detection and Management
    • Cancer Immunotherapy and Biomarkers
    • Melanoma and MAPK Pathways
    • Peroxisome Proliferator-Activated Receptors

Papers in

    • Peroxisome Proliferator-Activated Receptors 4
    • Retinoids in leukemia and cellular processes 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • Melanoma and MAPK Pathways 3
    • PI3K/AKT/mTOR signaling in cancer 3
    • Cancer Immunotherapy and Biomarkers 6

Olivia Gardner

21 papers receiving 945 citations

Peers

Olivia Gardner
Comparison fields: 5 of 75
  • Oncology 350
  • Molecular Biology 641
  • Immunology 125
  • Cancer Research 84
  • Physiology 22
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Olivia Gardner relative to Julie C. Lougheed United States Julie C. Lougheed's profile →
Citations per field
00.5×1.5×
Julie C. Lougheed · 1×
Citations per year

Countries citing papers authored by Olivia Gardner

Since Specialization
Citations

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

Fields of papers citing papers by Olivia Gardner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012375
2 200394
3 200590
4 200585
5 201345
6 201643
7 200742
8 201338
9 201330
10 201324
11 200721
12 201920
13 201913
14 202112
15 201210
16 20209
17 20125
18 20214
19 20204
20 20111

About Olivia Gardner

Olivia Gardner is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Immunology and Physiology, having authored 22 papers that have together received 966 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Adenosine and Purinergic Signaling (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Retinoids in leukemia and cellular processes (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Melanoma and MAPK Pathways (3 papers), Lung Cancer Treatments and Mutations (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Oncology (350 citations), Molecular Biology (641 citations), Immunology (125 citations), Cancer Research (84 citations) and Physiology (22 citations). Olivia Gardner has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Lee M. Graves, Brian J. Dewar, Ching-Shih Chen, Douglas J. DeMarini, Danièle Ouellet, James M. Samet, Jeffrey R. Infante, H. Shelton Earp, Chung-Wai Shiau and Leslie A. Fecher. Their work appears in journals such as Journal of Clinical Oncology, Journal of Biological Chemistry, Molecular Pharmacology, Cancer Research and Journal of Immunotherapy.

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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