Jesse Woo

2.7k citations
3 papers · 428 · h-index 2

Impact in

    • Computational Drug Discovery Methods
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Machine Learning in Bioinformatics
    • Genomics and Phylogenetic Studies
    • Bioinformatics and Genomic Networks

Papers in

Jesse Woo

2 papers receiving 427 citations

Peers

Jesse Woo
Comparison fields: 5 of 77
  • Computational Theory and Mathematics 86
  • Molecular Biology 303
  • Microbiology 16
  • Pharmacology 16
  • Spectroscopy 28
Replace Yana Rose with:
Yana Rose United States
Billy J. Williams‐Noonan Australia
Benjamin T. Yukich United States
Salma B. Rafi United States
Alexander S. Bayden United States
Rick Oerlemans Netherlands
Jerry O. Ebalunode United States
Kalaimathy Singaravelu Finland
Matthew D. Shortridge United States
Zuzana Jandová Austria
Jesse Woo relative to Yana Rose United States Yana Rose's profile →
Citations per field
00.5×1.5×
Yana Rose · 1×
Citations per year

Countries citing papers authored by Jesse Woo

Since Specialization
Citations

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

Fields of papers citing papers by Jesse Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Jesse Woo, 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 Jesse Woo Line = papers co-authored together Jesse Woo links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1 2014426
2
Augmented reality : A technology and policy primer
20152
3
Application of stochastic search variable selection to genetic association studies in common complex diseases
20180

About Jesse Woo

Jesse Woo is a scholar working on Computer Networks and Communications, Molecular Biology, Information Systems, Signal Processing and Genetics, having authored 3 papers that have together received 428 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (1 paper), Bioinformatics and Genomic Networks (1 paper), Genetic Associations and Epidemiology (1 paper), Advanced Malware Detection Techniques (1 paper), Enzyme Structure and Function (1 paper), Mobile and Web Applications (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Computational Theory and Mathematics (86 citations), Molecular Biology (303 citations), Microbiology (16 citations), Pharmacology (16 citations) and Spectroscopy (28 citations). Jesse Woo has collaborated with scholars based in United States. Frequent co-authors include John Westbrook, Helen M. Berman, Andreas Prlić, Cole Christie, S.K. Burley, David S. Goodsell, Christine Zardecki, Peter W. Rose, Rachel Kramer Green and Wolfgang F. Bluhm. Their work appears in journals such as Nucleic Acids Research and Research portal (Tilburg University).

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.

Explore authors with similar magnitude of impact