Jay M. Margolis

24 papers receiving 706 citations

Peers

Jay M. Margolis
Comparison fields: 5 of 63
  • Family Practice 137
  • Ophthalmology 164
  • Internal Medicine 36
  • Psychiatry and Mental health 122
  • Pathology and Forensic Medicine 70
Replace Jonathan R. Korn with:
Jonathan R. Korn United States
Steven N. Shah United States
Earl L. Goehring United States
Ying Jiao Zhao China
Yohalakshmi Chelladurai United States
Jean-Michel Joubert France
Meaghan E House New Zealand
Ju‐Young Shin South Korea
Wayne J. Warnica Canada
Stefania Lopatriello Italy
Jay M. Margolis relative to Jonathan R. Korn United States Jonathan R. Korn's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jay M. Margolis

Since Specialization
Citations

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

Fields of papers citing papers by Jay M. Margolis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay M. Margolis. 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 Jay M. Margolis. The network helps show where Jay M. Margolis may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007249
2 2014117
3 200562
4 201860
5 201434
6 201133
7 201627
8
Effects of a Medicaid prior authorization policy for pregabalin.
200922
9
Healthcare utilization and cost effects of prior authorization for pregabalin in commercial health plans.
201020
10 201418
11 201016
12 201012
13 201412
14 201011
15 201611
16 201610
17 201910
18 20177
19 19966
20 20163

About Jay M. Margolis

Jay M. Margolis is a scholar working on Family Practice, Internal Medicine, Pathology and Forensic Medicine, Physiology and Psychiatry and Mental health, having authored 24 papers that have together received 744 indexed citations. Recurring topics across this work include Medication Adherence and Compliance (4 papers), Pain Mechanisms and Treatments (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Spinal Cord Injury Research (3 papers), Healthcare Policy and Management (2 papers), Pharmaceutical Economics and Policy (2 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers) and Musculoskeletal pain and rehabilitation (2 papers). The work is most often cited by research in Family Practice (137 citations), Ophthalmology (164 citations), Internal Medicine (36 citations), Psychiatry and Mental health (122 citations) and Pathology and Forensic Medicine (70 citations). Jay M. Margolis has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Sonali Shah, Harry A. Quigley, Jason Tan, Steven R. Hahn, David Steven Friedman, Elizabeth E. Kim, Thom J. Zimmerman, Ronda M. Copher, José E Cavazos and Bong Chul Chu. Their work appears in journals such as Journal of the American College of Cardiology, ClinicoEconomics and Outcomes Research, Journal of Pain Research, Value in Health and Journal of the American Heart Association.

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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