Patsy G. Oliver

1.9k citations
32 papers · 1.6k · h-index 23

Impact in

  • Oncology top 10%
    • Cancer-related Molecular Pathways
    • Cancer Cells and Metastasis
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Cancer-related Molecular Pathways 5
    • Cancer Cells and Metastasis 4
    • Cell death mechanisms and regulation 12
    • Glycosylation and Glycoproteins Research 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • RNA modifications and cancer 2

Patsy G. Oliver

32 papers receiving 1.6k citations

Peers

Patsy G. Oliver
Comparison fields: 5 of 92
  • Cancer Research 279
  • Oncology 492
  • Molecular Biology 1.1k
  • Immunology 257
  • Biotechnology 86
Replace Weili Ma with:
Weili Ma Taiwan
Marta Canel United Kingdom
Maria Giulia Rizzo Italy
Emma Nolan United Kingdom
Cenap Güngör Germany
Jianhua Ling United States
Yu‐Ting Chou Taiwan
Ernst J.A. Steller Netherlands
Cheryl A. Sherman‐Baust United States
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Patsy G. Oliver

Since Specialization
Citations

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

Fields of papers citing papers by Patsy G. Oliver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patsy G. Oliver. 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 Patsy G. Oliver. The network helps show where Patsy G. Oliver may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005188
2 2003144
3 2016142
4 2014138
5
Antitumor efficacy of TRA-8 anti-DR5 monoclonal antibody alone or in combination with chemotherapy and/or radiation therapy in a human breast cancer model.
2003128
6 201774
7 201672
8 199972
9 201669
10 200346
11 200544
12 201844
13 201143
14 200741
15 200740
16 200737
17 201133
18 201833
19 200832
20 200824

About Patsy G. Oliver

Patsy G. Oliver is a scholar working on Oncology, Molecular Biology, Immunology, Cancer Research and Biomaterials, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (12 papers), Cancer-related Molecular Pathways (5 papers), Cancer Cells and Metastasis (4 papers), Glycosylation and Glycoproteins Research (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), RNA modifications and cancer (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Cancer Research (279 citations), Oncology (492 citations), Molecular Biology (1.1k citations), Immunology (257 citations) and Biotechnology (86 citations). Patsy G. Oliver has collaborated with scholars based in United States, France and New Zealand. Frequent co-authors include Donald J. Buchsbaum, William E. Grizzle, Albert F. LoBuglio, Tong Zhou, Toshiaki Ohtsuka, Robert P. Kimberly, Sharmila K. Makhija, Tong Zhou, Wenquan Wang and Asmi Chakraborty. Their work appears in journals such as Gynecologic Oncology, Breast Cancer Research and Treatment, Cancer Research, International Journal of Molecular Sciences and Journal of Biological Chemistry.

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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