Megan Lo

2.9k citations
9 papers · 374 · h-index 7

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 2
    • Protein Tyrosine Phosphatases 1
    • Lipid Membrane Structure and Behavior 1
    • Melanoma and MAPK Pathways 1
    • ATP Synthase and ATPases Research 1
    • Cellular transport and secretion 2

Megan Lo

9 papers receiving 360 citations

Peers

Megan Lo
Comparison fields: 5 of 62
  • Cellular and Molecular Neuroscience 90
  • Immunology 95
  • Radiology, Nuclear Medicine and Imaging 98
  • Cell Biology 47
  • Molecular Biology 191
Replace F Uehara with:
F Uehara Japan
Micaela Pelagi Italy
Miyuki Nishimura Japan
S J Suchard United States
Sylvia A. Norman United States
Z. Suzanne Zam United States
Vincent DiGiacomo United States
Elke Lang Germany
Sara K. Donnelly United States
Laurence J. McIntyre United States
Megan Lo relative to F Uehara Japan F Uehara's profile →
Citations per field
00.5×10×12.5×
F Uehara · 1×
Citations per year

Countries citing papers authored by Megan Lo

Since Specialization
Citations

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

Fields of papers citing papers by Megan Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2017184
2 201759
3 198144
4 198240
5 201517
6 201915
7 20238
8 20226
9 20251

About Megan Lo

Megan Lo is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Organic Chemistry and Epidemiology, having authored 9 papers that have together received 374 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cellular transport and secretion (2 papers), Genetic and Kidney Cyst Diseases (1 paper), Protein Tyrosine Phosphatases (1 paper), Lipid Membrane Structure and Behavior (1 paper), Melanoma and MAPK Pathways (1 paper) and ATP Synthase and ATPases Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (90 citations), Immunology (95 citations), Radiology, Nuclear Medicine and Imaging (98 citations), Cell Biology (47 citations) and Molecular Biology (191 citations). Megan Lo has collaborated with scholars based in United States, Poland and Sweden. Frequent co-authors include William L. Pak, Natalia Jura, Ophir D. Klein, Cynthia L. Neben, Hok Seon Kim, Yin Zhang, Mark S. Dennis, Jessica A. Couch, Shan Chung and Ryan J. Watts. Their work appears in journals such as The Journal of Cell Biology, Nature Communications, Bioconjugate Chemistry, Developmental Biology and Proceedings of the National Academy of Sciences.

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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