Dana Quesinberry

669 total citations · 1 hit paper
19 papers, 501 citations indexed

About

Dana Quesinberry is a scholar working on Public Health, Environmental and Occupational Health, Emergency Medicine and Anesthesiology and Pain Medicine. According to data from OpenAlex, Dana Quesinberry has authored 19 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Public Health, Environmental and Occupational Health, 8 papers in Emergency Medicine and 5 papers in Anesthesiology and Pain Medicine. Recurrent topics in Dana Quesinberry's work include Opioid Use Disorder Treatment (12 papers), Pain Management and Opioid Use (4 papers) and Poisoning and overdose treatments (4 papers). Dana Quesinberry is often cited by papers focused on Opioid Use Disorder Treatment (12 papers), Pain Management and Opioid Use (4 papers) and Poisoning and overdose treatments (4 papers). Dana Quesinberry collaborates with scholars based in United States and United Kingdom. Dana Quesinberry's co-authors include Svetla Slavova, Peter Rock, Sharon Walsh, Heather Bush, Michael Singleton, Julia F. Costich, Julia E. Martin, Patricia R. Freeman, Candace J. Brancato and Peter Akpunonu and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Public Health and Drug and Alcohol Dependence.

In The Last Decade

Dana Quesinberry

18 papers receiving 491 citations

Hit Papers

Signal of increased opioid overdose during COVID-19 from ... 2020 2026 2022 2024 2020 100 200 300

Peers

Dana Quesinberry
Comparison fields: 5 of 62
  • Public Health, Environmental and Occupational Health 342
  • Epidemiology 169
  • Emergency Medicine 156
  • Clinical Psychology 83
  • Pediatrics, Perinatology and Child Health 67
Replace Philip Huynh with:
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Alexandria Macmadu United States
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Philip Huynh United States View profile →
Citations per field, relative to Dana Quesinberry
Dana Quesinberry · 1×
Citations per year, relative to Dana Quesinberry
Dana Quesinberry · 1×

Countries citing papers authored by Dana Quesinberry

Since Specialization
Citations

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

Fields of papers citing papers by Dana Quesinberry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana Quesinberry. 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 Dana Quesinberry. The network helps show where Dana Quesinberry may publish in the future.

Co-authorship network of co-authors of Dana Quesinberry

This figure shows the co-authorship network connecting the top 25 collaborators of Dana Quesinberry. A scholar is included among the top collaborators of Dana Quesinberry based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dana Quesinberry. Dana Quesinberry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 5
2 1
3 1
4 8
5 1
6 0
7 1
8 9
9 2
10 10
11 1
12 16
13 21
14
Signal of increased opioid overdose during COVID-19 from emergency medical services data breakdown →
316
15 4
16 2
17 1
18 23
19 79

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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