Michael D. Decker

153 papers receiving 5.7k citations

Michael D. Decker's Hit Papers

Efficacy of High-Dose versus Standard-Dose Influenza Vaccine in Older Adults 2014 · 685 citations
6850+4+8Years since publication200400600

Peers

Michael D. Decker
Comparison fields: 5 of 139
  • Microbiology 2.5k
  • Endocrinology 409
  • Health 476
  • Epidemiology 1.6k
  • Toxicology 193
Replace Keith S. Reisinger with:
Keith S. Reisinger United States
Peter Bruce McIntyre Australia
Stephan Michael Marcy United States
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Shelly McNeil Canada
Flor M. Muñoz United States
Marta Luisa Ciofi degli Atti Italy
Ismael R. Ortega‐Sanchez United States
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Michael D. Decker relative to Keith S. Reisinger United States Keith S. Reisinger's profile →
Citations per field
00.5×2×4×6×7.6×
Keith S. Reisinger · 1×
Citations per year

Countries citing papers authored by Michael D. Decker

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Decker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Decker. 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 Michael D. Decker. The network helps show where Michael D. Decker may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Efficacy of High-Dose versus Standard-Dose Influenza Vaccine in Older Adults
Hit paper breakdown →
2014685
2 1992323
3 1995275
4 1995226
5 1992197
6 1990181
7 1987173
8 1995171
9 1998165
10 1988155
11 1985142
12 2013132
13 1997128
14 2004126
15 1992122
16 1987102
17 2012100
18 198696
19 202093
20 198479

About Michael D. Decker

Michael D. Decker is a scholar working on Microbiology, Endocrinology, Epidemiology, Health Information Management and Infectious Diseases, having authored 157 papers that have together received 6.5k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (75 papers), Influenza Virus Research Studies (13 papers), Healthcare Quality and Management (9 papers), Vaccine Coverage and Hesitancy (9 papers), Immune responses and vaccinations (8 papers), Diphtheria, Corynebacterium, and Tetanus (8 papers), Infection Control in Healthcare (7 papers) and Intramuscular injections and effects (5 papers). The work is most often cited by research in Microbiology (2.5k citations), Endocrinology (409 citations), Health (476 citations), Epidemiology (1.6k citations) and Toxicology (193 citations). Michael D. Decker has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Kathryn M. Edwards, Janet A. Englund, Wayne A. Ray, David P. Greenberg, Randy L. Fought, Dennis M. Perrotta, Edwin L. Anderson, Margaret B. Rennels, Mark C. Steinhoff and Michael E. Pichichero. Their work appears in journals such as Infection Control and Hospital Epidemiology, The Pediatric Infectious Disease Journal, Vaccine, The Journal of Infectious Diseases and PEDIATRICS.

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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