Michael Susick

741 citations
18 papers · 195 · h-index 9

Impact in

    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Pneumonia and Respiratory Infections
    • Vaccine Coverage and Hesitancy

Papers in

    • Influenza Virus Research Studies 11
    • Respiratory viral infections research 8
    • Pneumonia and Respiratory Infections 2
    • SARS-CoV-2 and COVID-19 Research 2

Michael Susick

16 papers receiving 194 citations

Peers

Michael Susick
Comparison fields: 5 of 55
  • Epidemiology 146
  • Health 31
  • Geriatrics and Gerontology 14
  • Modeling and Simulation 12
  • Infectious Diseases 44
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Citations per year

Countries citing papers authored by Michael Susick

Since Specialization
Citations

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

Fields of papers citing papers by Michael Susick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201758
2 201720
3 201319
4 201618
5 202015
6 201714
7 202110
8 20199
9 20208
10 20216
11 20145
12 20184
13 20223
14
Application of Smartphone Technology in the Management and Treatment of Mental Illnesses
20113
15 20232
16 20191
17 20230
18 20240

About Michael Susick

Michael Susick is a scholar working on Epidemiology, Infectious Diseases, Health, Critical Care and Intensive Care Medicine and Neurology, having authored 18 papers that have together received 195 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (11 papers), Respiratory viral infections research (8 papers), Vaccine Coverage and Hesitancy (4 papers), Intensive Care Unit Cognitive Disorders (3 papers), Long-Term Effects of COVID-19 (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Respiratory Support and Mechanisms (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Epidemiology (146 citations), Health (31 citations), Geriatrics and Gerontology (14 citations), Modeling and Simulation (12 citations) and Infectious Diseases (44 citations). Michael Susick has collaborated with scholars based in United States, Taiwan and Uganda. Frequent co-authors include Richard K. Zimmerman, Mary Patricia Nowalk, Krissy Moehling Geffel, Chyongchiou J. Lin, Min Z. Levine, Ted M. Ross, Judith M. Martin, Michael A. Carlock, Brendan Flannery and Thorsten U. Vogel. Their work appears in journals such as Vaccine, Human Vaccines & Immunotherapeutics, Brain Behavior & Immunity - Health, Aging and Journal of the National Medical 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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