Gary Mo

1.7k citations
32 papers · 1.3k · h-index 17

Impact in

  • Biophysics top 0.5%
    • Advanced Fluorescence Microscopy Techniques
    • Advanced Electron Microscopy Techniques and Applications

Papers in

    • Lipid Membrane Structure and Behavior 3
    • Receptor Mechanisms and Signaling 2
    • Advanced biosensing and bioanalysis techniques 2
    • Advanced Fluorescence Microscopy Techniques 9

Gary Mo

32 papers receiving 1.3k citations

Peers

Gary Mo
Comparison fields: 5 of 105
  • Biophysics 353
  • Structural Biology 77
  • Sensory Systems 109
  • Physiology 79
  • Molecular Biology 726
Replace Christoph Biskup with:
Christoph Biskup Germany
Atsushi Miyawaki Japan
Chiara Stringari France
Leiting Pan China
Ashraf Kitmitto United Kingdom
Sally A. Kim United States
Sohum Mehta United States
Joerg Kistler New Zealand
Justin W. Taraska United States
Nathan Alexander United States
Gary Mo relative to Christoph Biskup Germany Christoph Biskup's profile →
Citations per field
00.5×1.5×2.3×
Christoph Biskup · 1×
Citations per year

Countries citing papers authored by Gary Mo

Since Specialization
Citations

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

Fields of papers citing papers by Gary Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012173
2 2017142
3 2015141
4 2015124
5 2010102
6 202276
7 200772
8 202064
9 201459
10 201252
11 201552
12 202147
13 200941
14 200934
15 201226
16 201120
17 201818
18 200514
19 200913
20 20209

About Gary Mo

Gary Mo is a scholar working on Molecular Biology, Biophysics, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Oncology, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (9 papers), Surface Modification and Superhydrophobicity (3 papers), Near-Field Optical Microscopy (3 papers), Lipid Membrane Structure and Behavior (3 papers), Receptor Mechanisms and Signaling (2 papers), Pain Mechanisms and Treatments (2 papers), Ion Channels and Receptors (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Biophysics (353 citations), Structural Biology (77 citations), Sensory Systems (109 citations), Physiology (79 citations) and Molecular Biology (726 citations). Gary Mo has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Jin Zhang, Peter Dedecker, Thomas Dertinger, Christopher M. Yip, Philippe Séguéla, Asrar B. Malik, Fabian Hertel, Clara Posner, Tengqian Sun and Eileen J. Kennedy. Their work appears in journals such as Nature Communications, Molecular Pain, Nature Methods, ACS Chemical Biology and Langmuir.

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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