Patsy G. Oliver
- Cancer Research top 10%
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research 4
- Cancer-related Molecular Pathways 4
- Molecular Biology top 10%
- Cell death mechanisms and regulation 12
- Glycosylation and Glycoproteins Research 3
- Immunology top 10%
- Biotechnology top 5%
- Cancer Research and Treatments 5
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- Neuroblastoma Research and Treatments 4
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- Radiopharmaceutical Chemistry and Applications 3
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- Glioma Diagnosis and Treatment 3
- Co-authors
- Donald J. BuchsbaumWilliam E. GrizzleAlbert F. LoBuglioTong ZhouRobert P. KimberlySharmila MakhijaToshiaki OhtsukaWenquan Wang
- Journals
- Gynecologic Oncology (3 papers)Breast Cancer Research and Treatment (3 papers)Cancer Research (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Patsy G. Oliver
35 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Cancer Research 308
- Oncology 509
- Molecular Biology 1.1k
- Immunology 290
- Biotechnology 109
Countries citing papers authored by Patsy G. Oliver
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 22 | |
| 2 | 2020 | 21 | |
| 3 | 2018 | 3 | |
| 4 | 2017 | 72 | |
| 5 | 2016 | 63 | |
| 6 | 2016 | 13 | |
| 7 | 2014 | 128 | |
| 8 | 2011 | 20 | |
| 9 | 2011 | 41 | |
| 10 | 2011 | 30 | |
| 11 | 2009 | 16 | |
| 12 | 2008 | 30 | |
| 13 | 2008 | 23 | |
| 14 | 2008 | 18 | |
| 15 | 2007 | 39 | |
| 16 | 2007 | 38 | |
| 17 | 2005 | 41 | |
| 18 | 2005 | 181 | |
| 19 | Treatment of human breast cancer xenografts with monoclonal antibody against DR5 with or without chemotherapy inhibits tumor growth in nude mice | 2002 | 2 |
| 20 | 2002 | 22 |
About Patsy G. Oliver
Patsy G. Oliver is a scholar working on Biotechnology, Oncology, Cancer Research, Genetics and Molecular Biology, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (12 papers), Cancer Research and Treatments (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Cancer-related Molecular Pathways (4 papers), Neuroblastoma Research and Treatments (4 papers), Glycosylation and Glycoproteins Research (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Cancer Research (308 citations), Oncology (509 citations), Molecular Biology (1.1k citations), Immunology (290 citations) and Biotechnology (109 citations). Patsy G. Oliver has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Donald J. Buchsbaum, William E. Grizzle, Albert F. LoBuglio, Tong Zhou, Robert P. Kimberly, Sharmila Makhija, Toshiaki Ohtsuka, Wenquan Wang, Tong Zhou and Susan L. Bellis. Their work appears in journals such as Gynecologic Oncology, Breast Cancer Research and Treatment, Cancer Research, Clinical Cancer Research and International Journal of Molecular Sciences.
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.