Maya O’Neil

4.0k citations
106 papers · 2.7k indexed · 1 hit paper · h-index 28

Maya O’Neil

91 papers receiving 2.6k citations

Hit Papers

The Effects of Pay-for-Performance Programs on Health, He...251201720262020202350100150200250

Peers

Maya O’Neil
Comparison fields: 5 of 145
  • Emergency Medicine 418
  • Clinical Psychology 553
  • Epidemiology 891
  • Pharmacology 343
  • General Health Professions 484
Replace Samuel F. Sears with:
Samuel F. Sears United States
Kristen Bush United States
Ana Quiñones United States
Sean Nugent United States
Cynthia Feltner United States
Nick Meader United Kingdom
Preben Bendtsen Sweden
Inge Kirchberger Germany
James L. Levenson United States
Frank Doyle Ireland
Maya O’Neil relative to Samuel F. Sears United States Samuel F. Sears's profile →
Citations per field
00.5×2.6×
Samuel F. Sears · 1×
Citations per year

Countries citing papers authored by Maya O’Neil

Since Specialization
Citations

This map shows the geographic impact of Maya O’Neil'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 Maya O’Neil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya O’Neil more than expected).

Fields of papers citing papers by Maya O’Neil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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5 20231
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10 20226
11 20211
12 202115
13 20212
14 20201
15
The Effects of Pay-for-Performance Programs on Health, Health Care Use, and Processes of Care
201711
16
Benefits and Harms of Plant-Based Cannabis for Posttraumatic Stress Disorder
20173
17 201661
18 201258
19 20125
20 201142

About Maya O’Neil

Maya O’Neil is a scholar working on Emergency Medicine, Clinical Psychology and Epidemiology, having authored 106 papers that have together received 2.7k indexed citations. Recurring topics across this work include Traumatic Brain Injury Research (30 papers), Posttraumatic Stress Disorder Research (18 papers), Cardiac Arrest and Resuscitation (17 papers), Traumatic Brain Injury and Neurovascular Disturbances (13 papers), Suicide and Self-Harm Studies (7 papers), Healthcare Policy and Management (7 papers), Trauma and Emergency Care Studies (7 papers) and Cannabis and Cannabinoid Research (5 papers). The work is most often cited by research in Emergency Medicine (418 citations), Clinical Psychology (553 citations) and Epidemiology (891 citations). Maya O’Neil has collaborated with scholars based in United States, Canada and Serbia. Frequent co-authors include Devan Kansagara, Michele Freeman, Makalapua Motu’apuaka, Ana Quiñones, Allison Low, Karli Kondo, Rose Relevo, Ellen Hawley McWhirter, Daniel Storzbach and Kathleen F. Carlson. Their work appears in journals such as Journal of Head Trauma Rehabilitation, Annals of Internal Medicine, Archives of Physical Medicine and Rehabilitation, Journal of Traumatic Stress and Academic Emergency Medicine.

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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