Christopher McFaul

412 citations
12 papers · 311 · h-index 9

Impact in

Papers in

    • Advanced Fluorescence Microscopy Techniques 5
    • Cell Image Analysis Techniques 2
    • Near-Field Optical Microscopy 3
    • Nanopore and Nanochannel Transport Studies 3

Christopher McFaul

12 papers receiving 308 citations

Peers

Christopher McFaul
Comparison fields: 5 of 64
  • Biophysics 50
  • Structural Biology 7
  • Biomedical Engineering 138
  • Computer Vision and Pattern Recognition 66
  • Cell Biology 40
Replace Mark Fauver with:
Mark Fauver United States
Thang L. Nguyen United States
Maxime Rivard Canada
Cheng‐Kuang Lee Taiwan
Cuixia Dai China
Kevin Sung United States
Anand Pillarisetti United States
Chae Yun Bae South Korea
Raksha Raghunathan United States
Vasilica Crecea United States
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Citations per field
00.5×4.8×
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Citations per year

Countries citing papers authored by Christopher McFaul

Since Specialization
Citations

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

Fields of papers citing papers by Christopher McFaul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2017118
2 201337
3 201436
4 201728
5 201624
6 201323
7 202215
8 202112
9 202310
10 20154
11 20173
12 20131

About Christopher McFaul

Christopher McFaul is a scholar working on Biophysics, Biomedical Engineering, Molecular Biology, Cell Biology and Surgery, having authored 12 papers that have together received 311 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (5 papers), Near-Field Optical Microscopy (3 papers), Nanopore and Nanochannel Transport Studies (3 papers), Cellular Mechanics and Interactions (3 papers), Neurobiology and Insect Physiology Research (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Cell Image Analysis Techniques (2 papers) and Developmental Biology and Gene Regulation (1 paper). The work is most often cited by research in Biophysics (50 citations), Structural Biology (7 citations), Biomedical Engineering (138 citations), Computer Vision and Pattern Recognition (66 citations) and Cell Biology (40 citations). Christopher McFaul has collaborated with scholars based in Canada and United States. Frequent co-authors include Victor X. D. Yang, Shaurya Gupta, Daipayan Guha, Naif M. Alotaibi, Sabrina Leslie, Jason S. Leith, Rodrigo Fernández‐González, François Michaud, Christopher M. Yip and Miranda V. Hunter. Their work appears in journals such as Review of Scientific Instruments, Bioinformatics, Development, Experimental Cell Research and Optics Express.

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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