Michael J. Munson

1.3k citations
12 papers · 864 · 1 hit paper · h-index 8

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
    • Autophagy in Disease and Therapy

Papers in

Michael J. Munson

11 papers receiving 848 citations

Michael J. Munson's Hit Papers

mito-QC illuminates mitophagy and mitochondrial architecture in vivo 2016 · 409 citations
4090+3+6Years since publication100200300400

Peers

Michael J. Munson
Comparison fields: 5 of 90
  • Physiology 75
  • Epidemiology 458
  • Geriatrics and Gerontology 32
  • Cell Biology 160
  • Neurology 103
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Leonardo J. Leon United States
Carol X Chen Canada
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Citations per field
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Citations per year

Countries citing papers authored by Michael J. Munson

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Munson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
mito-QC illuminates mitophagy and mitochondrial architecture in vivo
Hit paper breakdown →
2016409
2 2019152
3 2021111
4 202153
5 202343
6 202341
7 202238
8
ENERGY THRIFT IN URBAN TRANSPORTATION: OPTIONS FOR THE FUTURE
197510
9
Indirect Costs of Residential Fires
19804
10
APPROACH TO ASSESSING THE IMPACT OF ENERGY CONSERVATION POLICIES ON TRANSPORTATION DEMAND
19792
11
High-Speed-/-Hypersonic-Weapon-Development-Tool Integration
20061
12
Estimating Winning Probabilities in Backgammon Races
20070

About Michael J. Munson

Michael J. Munson is a scholar working on Epidemiology, Cell Biology, Transportation, Immunology and Physiology, having authored 12 papers that have together received 864 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (5 papers), Transportation Planning and Optimization (2 papers), Mitochondrial Function and Pathology (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), RNA Interference and Gene Delivery (2 papers), Nanoplatforms for cancer theranostics (1 paper), Lysosomal Storage Disorders Research (1 paper) and Evolutionary Algorithms and Applications (1 paper). The work is most often cited by research in Physiology (75 citations), Epidemiology (458 citations), Geriatrics and Gerontology (32 citations), Cell Biology (160 citations) and Neurology (103 citations). Michael J. Munson has collaborated with scholars based in Sweden, Norway and United States. Frequent co-authors include George F. G. Allen, Calum Thomson, Ian G. Ganley, Miratul M. K. Muqit, J. Tamjar, Alan R. Prescott, Thomas G. McWilliams, Anne Katrine Wrist Simonsen, Harald Stenmark and Alan Sabirsh. Their work appears in journals such as Nature Communications, The Journal of Cell Biology, Autophagy, Advanced Science and Communications Biology.

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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