Anne O’Neill
- Otorhinolaryngology top 0.5%
- Head and Neck Cancer Studies 9
- Oncology top 1%
- Cancer Treatment and Pharmacology 22
- HER2/EGFR in Cancer Research 10
- Cancer Immunotherapy and Biomarkers 7
- Cancer Research top 2%
- Breast Cancer Treatment Studies 26
- Immunology top 5%
- Genetics top 5%
- Glioma Diagnosis and Treatment 11
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- Breast Lesions and Carcinomas 10
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- Advanced Breast Cancer Therapies 9
- Co-authors
- George W. SledgeJoseph A. SparanoKathy D. MillerAugusto C. OchoaJames W. MierMichael B. AtkinsClaudia HernandezAmanda Youmans
- Journals
- Journal of Clinical Oncology (31 papers)Cancer Research (5 papers)Breast Cancer Research and Treatment (4 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Anne O’Neill
86 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Otorhinolaryngology 546
- Oncology 1.8k
- Cancer Research 979
- Immunology 620
- Genetics 298
Countries citing papers authored by Anne O’Neill
This map shows the geographic impact of Anne O’Neill'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 Anne O’Neill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne O’Neill more than expected).
Fields of papers citing papers by Anne O’Neill
This network shows the impact of papers produced by Anne O’Neill. 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 Anne O’Neill. The network helps show where Anne O’Neill may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anne O’Neill, 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 | 2025 | 5 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 20 | |
| 8 | 2017 | 7 | |
| 9 | Impact of Genetic Ancestry on Outcomes in ECOG-ACRIN-E5103 | 2017 | 11 |
| 10 | 2017 | 3 | |
| 11 | 2016 | 66 | |
| 12 | 2015 | 27 | |
| 13 | 2014 | 38 | |
| 14 | 2013 | 10 | |
| 15 | 2011 | 20 | |
| 16 | Abstract #153: Cox-2 inhibition delays resistance to sunitinib in RCC xenograft models | 2009 | 1 |
| 17 | 2007 | 36 | |
| 18 | 2007 | 46 | |
| 19 | Arginase-Producing Myeloid Suppressor Cells in Renal Cell Carcinoma Patients: A Mechanism of Tumor Evasionbreakdown → | 2005 | 671 |
| 20 | 2000 | 30 |
About Anne O’Neill
Anne O’Neill is a scholar working on Cancer Research, Otorhinolaryngology and Oncology, having authored 89 papers that have together received 3.5k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (26 papers), Cancer Treatment and Pharmacology (22 papers), Glioma Diagnosis and Treatment (11 papers), Breast Lesions and Carcinomas (10 papers), HER2/EGFR in Cancer Research (10 papers), Advanced Breast Cancer Therapies (9 papers), Head and Neck Cancer Studies (9 papers) and Cancer Immunotherapy and Biomarkers (7 papers). The work is most often cited by research in Otorhinolaryngology (546 citations), Oncology (1.8k citations) and Cancer Research (979 citations). Anne O’Neill has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include George W. Sledge, Joseph A. Sparano, Kathy D. Miller, Augusto C. Ochoa, James W. Mier, Michael B. Atkins, Claudia Hernandez, Amanda Youmans, Jovanny Zabaleta and David F. McDermott. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Breast Cancer Research and Treatment, Clinical Cancer Research and Clinical Breast Cancer.
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.