Mike Ngo

529 citations
7 papers · 452 · h-index 6

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
  • Physiology top 10%
    • Calcium signaling and nucleotide metabolism

Papers in

    • Lipid Membrane Structure and Behavior 3
    • RNA and protein synthesis mechanisms 1
    • Receptor Mechanisms and Signaling 1
    • PI3K/AKT/mTOR signaling in cancer 1
    • Cellular transport and secretion 5

Mike Ngo

7 papers receiving 449 citations

Peers

Mike Ngo
Comparison fields: 5 of 49
  • Cell Biology 258
  • Physiology 38
  • Biochemistry 50
  • Molecular Biology 338
  • Surgery 129
Replace Simon Prosser with:
Simon Prosser United States
Stefan Welti Germany
Alexander Wallroth Germany
Fuminori Kazama Japan
Tsun-Kai Chang United States
Merry Sullivan United States
Paola Giglio Italy
Shigemi Sasawatari Japan
Alessia Calcagnì Italy
Katja T. Koessmeier Germany
Mike Ngo relative to Simon Prosser United States Simon Prosser's profile →
Citations per field
00.5×5.3×
Simon Prosser · 1×
Citations per year

Countries citing papers authored by Mike Ngo

Since Specialization
Citations

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

Fields of papers citing papers by Mike Ngo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Mike Ngo, 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 Mike Ngo Line = papers co-authored together Mike Ngo links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2009157
2 201099
3 201075
4 201068
5 200642
6 20199
7
Oxysterol Binding Protein-dependent Activation of Sphingomyelin Synthesis in the Golgi Apparatus Requires Phosphatidylinositol 4-Kinase II alpha
20102

About Mike Ngo

Mike Ngo is a scholar working on Molecular Biology, Cell Biology, Surgery, Physiology and Immunology, having authored 7 papers that have together received 452 indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Lipid Membrane Structure and Behavior (3 papers), Calcium signaling and nucleotide metabolism (1 paper), RNA and protein synthesis mechanisms (1 paper), Cholesterol and Lipid Metabolism (1 paper), Receptor Mechanisms and Signaling (1 paper), Mast cells and histamine (1 paper) and PI3K/AKT/mTOR signaling in cancer (1 paper). The work is most often cited by research in Cell Biology (258 citations), Physiology (38 citations), Biochemistry (50 citations), Molecular Biology (338 citations) and Surgery (129 citations). Mike Ngo has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Neale D. Ridgway, Sangeeta Banerji, Shane Minogue, John M. Asara, Seth J. Field, Michelle M. Ng, Xuemei Yang, Alex Toker, Michael Huber and Susana Minguet. Their work appears in journals such as Molecular Biology of the Cell, Biochemical Journal, Cellular Signalling, Developmental Dynamics and UCL Discovery (University College London).

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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