Michael Ewing

923 citations
13 papers · 664 indexed · h-index 9

Impact in

    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion
  • Physiology top 10%
    • Lysosomal Storage Disorders Research

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 2
    • Microbial Inactivation Methods 2

Michael Ewing

11 papers receiving 658 citations

Peers

Michael Ewing
Comparison fields: 5 of 72
  • Cell Biology 241
  • Physiology 42
  • Aging 16
  • Epidemiology 309
  • Cancer Research 128
Replace Christopher Cervantes with:
Christopher Cervantes United States
Meredith A. Steeves United States
Peter Pyrko United States
Mathieu Paquette Canada
Binayak Roy United States
Lisa Heiserich Germany
Genyuan Zhu United States
Ulrich Koenig Austria
Dionissios Baltzis Canada
Robert A. Saxton United States
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Citations per field
00.5×1.5×2.5×
Christopher Cervantes · 1×
Citations per year

Countries citing papers authored by Michael Ewing

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ewing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2010463
2 200758
3 201434
4 201524
5 202219
6 201915
7 201814
8 201114
9 200513
10 20207
11 20213
12 20250
13 20250

About Michael Ewing

Michael Ewing is a scholar working on Aging, Biotechnology, Cell Biology, Behavioral Neuroscience and Physiology, having authored 13 papers that have together received 664 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (4 papers), Bacillus and Francisella bacterial research (3 papers), Autophagy in Disease and Therapy (3 papers), Studies on Chitinases and Chitosanases (2 papers), Microbial Inactivation Methods (2 papers), Adipose Tissue and Metabolism (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Cell Biology (241 citations), Physiology (42 citations), Aging (16 citations), Epidemiology (309 citations) and Cancer Research (128 citations). Michael Ewing has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Tunda Hidvegi, Pamela Hale, Caroline S. Beckett, David H. Perlmutter, Amitava Mukherjee, Christine Dippold, Carolyn Kemp, George K. Michalopoulos, Simon C. Watkins and N.M. Maurice. Their work appears in journals such as PLoS ONE, Journal of Biological Chemistry, PLoS Pathogens, Methods in enzymology on CD-ROM/Methods in enzymology and Endocrinology.

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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