Daniel Shine

20 papers receiving 375 citations

Peers

Daniel Shine
Comparison fields: 5 of 89
  • Emergency Medicine 117
  • Anesthesiology and Pain Medicine 41
  • Virology 34
  • Health Information Management 25
  • Family Practice 10
Replace Catherine E MacBean with:
Catherine E MacBean Australia
Laura Fanucchi United States
Brenna M. Farmer United States
Jason R. Guertin Canada
Juliana de Oliveira Costa Brazil
Baruch S. Fertel United States
S J Jay United States
Dennis Grauer United States
Aksel Karl Georg Jensen Denmark
James E. Levin United States
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Citations per year

Countries citing papers authored by Daniel Shine

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Shine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Intravenous drug abusers and the acquired immunodeficiency syndrome (AIDS). Demographic, drug use, and needle-sharing patterns.
198581
2 200455
3 200554
4 198138
5 201433
6 200619
7 200618
8 201318
9 200318
10 201217
11 201016
12 201212
13 198711
14 19994
15 20134
16 19852
17 20012
18 20061
19 19911
20 20021

About Daniel Shine

Daniel Shine is a scholar working on Emergency Medicine, Family Practice, Virology, Anesthesiology and Pain Medicine and Organizational Behavior and Human Resource Management, having authored 21 papers that have together received 405 indexed citations. Recurring topics across this work include Healthcare Policy and Management (5 papers), Hospital Admissions and Outcomes (5 papers), Emergency and Acute Care Studies (4 papers), Healthcare Systems and Technology (3 papers), HIV Research and Treatment (2 papers), HIV/AIDS Research and Interventions (2 papers), Opioid Use Disorder Treatment (2 papers) and Healthcare Operations and Scheduling Optimization (2 papers). The work is most often cited by research in Emergency Medicine (117 citations), Anesthesiology and Pain Medicine (41 citations), Virology (34 citations), Health Information Management (25 citations) and Family Practice (10 citations). Daniel Shine has collaborated with scholars based in United States. Frequent co-authors include Bernice Moll, Carol Harris, Robert S. Klein, William W. Darrow, Gerald Friedland, Martha J. Radford, Joseph Jaeger, K. Patel, Saul Blecker and Peter Goldman. Their work appears in journals such as Journal of General Internal Medicine, The American Journal of Medicine, Gastrointestinal Endoscopy, Clinical Pharmacology & Therapeutics and American Journal of Medical Quality.

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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