Maya Doe-Simkins

12 papers receiving 1.4k citations

Maya Doe-Simkins's Hit Papers

Opioid overdose rates and implementation of overdose education and nasal naloxone distribution in Massachusetts: interrupted time series analysis 2013 · 761 citations
7610+4+8Years since publication250500750

Peers

Maya Doe-Simkins
Comparison fields: 5 of 73
  • Public Health, Environmental and Occupational Health 1.2k
  • Anesthesiology and Pain Medicine 157
  • Toxicology 78
  • Emergency Medicine 149
  • Epidemiology 354
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Countries citing papers authored by Maya Doe-Simkins

Since Specialization
Citations

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

Fields of papers citing papers by Maya Doe-Simkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya Doe-Simkins. 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 Doe-Simkins. The network helps show where Maya Doe-Simkins may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Opioid overdose rates and implementation of overdose education and nasal naloxone distribution in Massachusetts: interrupted time series analysis
Hit paper breakdown →
2013761
2 2009198
3 2014135
4 201287
5 202273
6 201844
7 202142
8 201841
9 201624
10 200421
11
Adapting your practice: recommendations for the care of homeless patients with opioid use disorders.
201413
12 202212
13 20250
14 20210

About Maya Doe-Simkins

Maya Doe-Simkins is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Toxicology, Emergency Medicine and General Health Professions, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (10 papers), Substance Abuse Treatment and Outcomes (3 papers), Poisoning and overdose treatments (2 papers), HIV, Drug Use, Sexual Risk (2 papers), Forensic Toxicology and Drug Analysis (2 papers), Cardiac Arrest and Resuscitation (1 paper), Mental Health and Patient Involvement (1 paper) and Pain Management and Opioid Use (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.2k citations), Anesthesiology and Pain Medicine (157 citations), Toxicology (78 citations), Emergency Medicine (149 citations) and Epidemiology (354 citations). Maya Doe-Simkins has collaborated with scholars based in United States and Canada. Frequent co-authors include Alexander Y. Walley, Ziming Xuan, Al Ozonoff, Holly Hackman, Amy Sorensen-Alawad, Sonia Ruiz, E. Quinn, Peter Moyer, Emily Quinn and Alex S. Bennett. Their work appears in journals such as Substance Abuse, Journal of Substance Abuse Treatment, The Lancet Public Health, BMJ and Midwifery.

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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