Matthew Perri

1.7k citations
67 papers · 1.4k · h-index 18

Impact in

Papers in

    • Pharmaceutical industry and healthcare 23
    • Pharmaceutical Economics and Policy 10
    • Health Systems, Economic Evaluations, Quality of Life 5
    • Healthcare Policy and Management 4

Matthew Perri

63 papers receiving 1.3k citations

Peers

Matthew Perri
Comparison fields: 5 of 125
  • Geriatrics and Gerontology 308
  • Family Practice 164
  • Pharmacology 339
  • Applied Psychology 119
  • Medical Terminology 4
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Citations per year

Countries citing papers authored by Matthew Perri

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Perri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005174
2 1991146
3 2007138
4 2013115
5 200497
6 200579
7 200267
8
An exploratory analysis of consumer recognition of direct-to-consumer advertising of prescription medications.
198745
9 200445
10 200344
11 199935
12 198830
13
Consumer reaction to a direct-to-consumer prescription drug advertising campaign.
198829
14 199528
15 200422
16 201621
17 200921
18 199020
19 198717
20 201615

About Matthew Perri

Matthew Perri is a scholar working on Pharmacology, Economics and Econometrics, Geriatrics and Gerontology, Health and General Health Professions, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pharmaceutical industry and healthcare (23 papers), Pharmaceutical Practices and Patient Outcomes (12 papers), Pharmaceutical Economics and Policy (10 papers), Social Media in Health Education (9 papers), Consumer Behavior in Brand Consumption and Identification (7 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), BRCA gene mutations in cancer (4 papers) and Healthcare Policy and Management (4 papers). The work is most often cited by research in Geriatrics and Gerontology (308 citations), Family Practice (164 citations), Pharmacology (339 citations), Applied Psychology (119 citations) and Medical Terminology (4 citations). Matthew Perri has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Aparna Deshpande, Ajit M. Menon, Christopher L. Cook, George M. Zinkhan, Jung Sun Lee, Elisabeth Lilian Pia Sattler, Jack E. Fincham, Nelson Aa, Alex Z. Fu and Alan P. Wolfgang. Their work appears in journals such as American Journal of Health-System Pharmacy, American Journal of Pharmaceutical Education, Annals of Pharmacotherapy, Journal of the American Pharmacists Association and Patient Education and Counseling.

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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