Danielle MacNeil
Impact in
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
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- Cancer-related molecular mechanisms research
Papers in
-
- Head and Neck Cancer Studies 13
- Oncology 13
- Cancer-related Molecular Pathways 5
- Co-authors
- Anthony C. Nichols (31 shared papers)Kevin Fung (24 shared papers)John W. Barrett (21 shared papers)John Yoo (24 shared papers)Joe S. Mymryk (16 shared papers)Nicole Pinto (13 shared papers)David A. Palma (20 shared papers)Mohammed Imran Khan (8 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (4 papers)Oral Oncology (3 papers)Head & Neck (3 papers)Cancer Research (2 papers)Journal of Otolaryngology - Head and Neck Surgery (2 papers)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Danielle MacNeil
31 papers receiving 354 citations
Peers
Comparison fields: 5 of 68
- Otorhinolaryngology 94
- Cancer Research 67
- Oncology 112
- Molecular Biology 146
- Surgery 78
Countries citing papers authored by Danielle MacNeil
This map shows the geographic impact of Danielle MacNeil'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 Danielle MacNeil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle MacNeil more than expected).
Fields of papers citing papers by Danielle MacNeil
This network shows the impact of papers produced by Danielle MacNeil. 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 Danielle MacNeil. The network helps show where Danielle MacNeil may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle MacNeil, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 30 | |
| 2 | 2018 | 27 | |
| 3 | 2014 | 26 | |
| 4 | 2019 | 26 | |
| 5 | 2018 | 22 | |
| 6 | 2019 | 21 | |
| 7 | 2020 | 20 | |
| 8 | 2018 | 20 | |
| 9 | 2018 | 18 | |
| 10 | 2021 | 15 | |
| 11 | 2022 | 15 | |
| 12 | 2005 | 14 | |
| 13 | 2020 | 14 | |
| 14 | 2018 | 12 | |
| 15 | 2020 | 11 | |
| 16 | 2014 | 11 | |
| 17 | 2018 | 10 | |
| 18 | 2020 | 10 | |
| 19 | 2021 | 7 | |
| 20 | 2022 | 6 |
About Danielle MacNeil
Danielle MacNeil is a scholar working on Otorhinolaryngology, Oncology, Molecular Biology, Surgery and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 357 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (13 papers), RNA modifications and cancer (6 papers), Cancer-related Molecular Pathways (5 papers), Virus-based gene therapy research (3 papers), Cancer-related molecular mechanisms research (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Cancer Genomics and Diagnostics (3 papers) and Thyroid Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Otorhinolaryngology (94 citations), Cancer Research (67 citations), Oncology (112 citations), Molecular Biology (146 citations) and Surgery (78 citations). Danielle MacNeil has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Anthony C. Nichols, Kevin Fung, John W. Barrett, John Yoo, Joe S. Mymryk, Nicole Pinto, David A. Palma, Mohammed Imran Khan, Paul C. Boutros and Neil Mundi. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Oral Oncology, Head & Neck, Cancer Research and Journal of Otolaryngology - Head and Neck Surgery.
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.