A. O’Neill

1.9k citations
26 papers · 1.4k · h-index 12

Impact in

  • Genetics top 2%
    • Glioma Diagnosis and Treatment
  • Neurology top 2%
    • CNS Lymphoma Diagnosis and Treatment

Papers in

A. O’Neill

26 papers receiving 1.4k citations

Peers

A. O’Neill
Comparison fields: 5 of 86
  • Genetics 454
  • Neurology 417
  • Immunology and Allergy 117
  • Pathology and Forensic Medicine 279
  • Oncology 427
Replace Brian Thiessen with:
Brian Thiessen Canada
Sergey Popov United Kingdom
Lynn S. Ashby United States
Elizabeth Cohen‐Jonathan Moyal France
Regina Fillbrandt Germany
Kenji Tada Japan
Nathalie Baeza France
Daisuke Kita Japan
Matthias M. Feldkamp Canada
Matthias A. Karajannis United States
A. O’Neill relative to Brian Thiessen Canada Brian Thiessen's profile →
Citations per field
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Brian Thiessen · 1×
Citations per year

Countries citing papers authored by A. O’Neill

Since Specialization
Citations

This map shows the geographic impact of A. 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 A. 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 A. O’Neill more than expected).

Fields of papers citing papers by A. O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. 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 A. O’Neill. The network helps show where A. O’Neill may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003405
2 2008377
3 1997187
4 2010121
5 200792
6 200257
7 201335
8 201335
9 201123
10 201523
11 201319
12 202217
13 201711
14 20226
15 20216
16 20225
17
Pilot trial of paclitaxel-herceptin adjuvant therapy for early stage breast cancer (E2198)
20014
18
DOD Renewable Energy Projects: Improved Guidance Needed for Analyzing and Documenting Costs and Benefits
20164
19 20044
20 20173

About A. O’Neill

A. O’Neill is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Genetics, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), HER2/EGFR in Cancer Research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Advanced Breast Cancer Therapies (2 papers), Cancer-related Molecular Pathways (2 papers), Breast Cancer Treatment Studies (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Genetics (454 citations), Neurology (417 citations), Immunology and Allergy (117 citations), Pathology and Forensic Medicine (279 citations) and Oncology (427 citations). A. O’Neill has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Kathryn A. Carson, Stuart A. Grossman, Tracy T. Batchelor, Jane Β. Alavi, Pamela New, Fred H. Hochberg, Rebecca Gelman, Walter P. Carney, Daniel F. Hayes and Hideko Yamauchi. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Cancer Research, British Journal of Cancer and Neuro-Oncology.

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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