S. Danielle MacNeil

2.5k citations
56 papers · 883 · h-index 16

Impact in

    • Head and Neck Cancer Studies
  • Surgery top 10%
    • Head and Neck Surgical Oncology
    • Reconstructive Surgery and Microvascular Techniques
    • Surgical Sutures and Adhesives
    • Salivary Gland Tumors Diagnosis and Treatment

Papers in

    • Head and Neck Cancer Studies 20
    • Reconstructive Surgery and Microvascular Techniques 5
    • Head and Neck Surgical Oncology 3
    • Salivary Gland Tumors Diagnosis and Treatment 3

S. Danielle MacNeil

53 papers receiving 864 citations

Peers

S. Danielle MacNeil
Comparison fields: 5 of 84
  • Otorhinolaryngology 386
  • Surgery 276
  • Oncology 112
  • Pulmonary and Respiratory Medicine 101
  • Dermatology 25
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Citations per field
00.5×1.5×1.9×
Arun Sharma · 1×
Citations per year

Countries citing papers authored by S. Danielle MacNeil

Since Specialization
Citations

This map shows the geographic impact of S. 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 S. 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 S. Danielle MacNeil more than expected).

Fields of papers citing papers by S. Danielle MacNeil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. 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 S. Danielle MacNeil. The network helps show where S. Danielle MacNeil may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015115
2 2013107
3 201673
4 201944
5 201743
6 200539
7 202132
8 201630
9 201725
10 202022
11 200722
12 202021
13 202020
14 201918
15 201817
16 201817
17 202015
18 201815
19 201814
20 201513

About S. Danielle MacNeil

S. Danielle MacNeil is a scholar working on Otorhinolaryngology, Surgery, Pulmonary and Respiratory Medicine, Oncology and Molecular Biology, having authored 56 papers that have together received 883 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (20 papers), Reconstructive Surgery and Microvascular Techniques (5 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Tracheal and airway disorders (4 papers), Cancer Diagnosis and Treatment (3 papers), Head and Neck Surgical Oncology (3 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Otorhinolaryngology (386 citations), Surgery (276 citations), Oncology (112 citations), Pulmonary and Respiratory Medicine (101 citations) and Dermatology (25 citations). S. Danielle MacNeil has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Anthony C. Nichols, John Yoo, Kevin Fung, David A. Palma, Conrad V. Fernandez, Rohin J. Krishnan, Eric Winquist, Monali S. Malvankar‐Mehta, David H. Yeh and Samantha Tam. Their work appears in journals such as Journal of Otolaryngology - Head and Neck Surgery, JAMA Otolaryngology–Head & Neck Surgery, The Laryngoscope, Head & Neck and BMJ Open.

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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