Michael E. McKenna

10 papers receiving 408 citations

Peers

Michael E. McKenna
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 78
  • Sensory Systems 20
  • Neurology 32
  • Gastroenterology 18
  • Structural Biology 5
Replace Florent Ubelmann with:
Florent Ubelmann France
Fabian E. Ortega United States
Diane J. Cousens United Kingdom
Mathieu Fallet France
Adam J. Hockenberry United States
Cristina Di Primio Italy
Kathrin A. Stauffer United Kingdom
Tim Strassmaier United States
Lee Dolat United States
Suzanne Scott Australia
Michael E. McKenna relative to Florent Ubelmann France Florent Ubelmann's profile →
Citations per field
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Florent Ubelmann · 1×
Citations per year

Countries citing papers authored by Michael E. McKenna

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. McKenna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2005176
2 202293
3 198985
4 201823
5 201517
6 202316
7 20236
8 20203
9 20243
10 20142

About Michael E. McKenna

Michael E. McKenna is a scholar working on Emergency Medicine, Family Practice, Critical Care and Intensive Care Medicine, Biochemistry and Aquatic Science, having authored 10 papers that have together received 424 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), Clinical Reasoning and Diagnostic Skills (1 paper), Advanced Biosensing Techniques and Applications (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Transgenic Plants and Applications (1 paper), Neurobiology and Insect Physiology Research (1 paper), Aquaculture Nutrition and Growth (1 paper) and Hospital Admissions and Outcomes (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (78 citations), Sensory Systems (20 citations), Neurology (32 citations), Gastroenterology (18 citations) and Structural Biology (5 citations). Michael E. McKenna has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Shaoyou Chu, Marshall H. Montrose, Oleg V. Gerasimenko, Tracy L. Rose, Alastair J.M. Watson, Fiona Campbell, John R. Carlson, Stephen L. Helfand, Patrizia Del Monte and Craig T. Woodard. Their work appears in journals such as Journal of Materials Chemistry B, Scandinavian Journal of Trauma Resuscitation and Emergency Medicine, Science, Biochemistry and Atherosclerosis.

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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