Michael D. Friedrichs

16 papers receiving 433 citations

Peers

Michael D. Friedrichs
Comparison fields: 5 of 45
  • Modeling and Simulation 38
  • Public Health, Environmental and Occupational Health 74
  • Epidemiology 71
  • Dermatology 13
  • Pulmonary and Respiratory Medicine 41
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Countries citing papers authored by Michael D. Friedrichs

Since Specialization
Citations

This map shows the geographic impact of Michael D. Friedrichs'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. Friedrichs 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. Friedrichs more than expected).

Fields of papers citing papers by Michael D. Friedrichs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2009134
2 2020121
3 201248
4 200833
5 200219
6 200818
7 201718
8 201415
9 200113
10 201913
11 20237
12 20025
13
An innovative approach to enhancing the surveillance capacity of state-based diabetes prevention and control programs: the Diabetes Indicators and Data Sources Internet Tool (DIDIT).
20055
14 20214
15
Development of the Diabetes Indicators and Data Sources Internet Tool (DIDIT).
20061
16 20131
17 20240

About Michael D. Friedrichs

Michael D. Friedrichs is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Modeling and Simulation, Health Information Management and Dermatology, having authored 17 papers that have together received 455 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (2 papers), Electronic Health Records Systems (1 paper), Folate and B Vitamins Research (1 paper), Smoking Behavior and Cessation (1 paper), Blood Pressure and Hypertension Studies (1 paper), Spinal Dysraphism and Malformations (1 paper), COVID-19 epidemiological studies (1 paper) and Skin Protection and Aging (1 paper). The work is most often cited by research in Modeling and Simulation (38 citations), Public Health, Environmental and Occupational Health (74 citations), Epidemiology (71 citations), Dermatology (13 citations) and Pulmonary and Respiratory Medicine (41 citations). Michael D. Friedrichs has collaborated with scholars based in United States. Frequent co-authors include Robert T. Rolfs, Boaz A. Markewitz, Colin K. Grissom, Samuel Morris Brown, Marilyn S. Nanney, Eliotte L. Hirshberg, Nathan C. Dean, Kristin K. Dascomb, Marcia L. Feldkamp and Jeanmarie Mayer. Their work appears in journals such as Journal of Public Health Management and Practice, The Journal of the American Board of Family Medicine, Translational Behavioral Medicine, MMWR Morbidity and Mortality Weekly Report and Pain Medicine.

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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