Jesse Woo

2.6k citations
3 papers · 423 · 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
    • Microbial Metabolic Engineering and Bioproduction

Papers in

Jesse Woo

2 papers receiving 421 citations

Peers

Jesse Woo
Comparison fields: 5 of 76
  • Computational Theory and Mathematics 87
  • Molecular Biology 318
  • Microbiology 17
  • Pharmacology 16
  • Spectroscopy 29
Replace Carlos P. Modenutti with:
Carlos P. Modenutti Argentina
Billy J. Williams‐Noonan Australia
Benjamin T. Yukich United States
Yana Rose United States
Raudah Lazim Singapore
Salma B. Rafi United States
Jerry O. Ebalunode United States
António J. Preto Portugal
Alexander S. Bayden United States
Matthew D. Shortridge United States
Jesse Woo relative to Carlos P. Modenutti Argentina Carlos P. Modenutti's profile →
Citations per field
00.5×10.6×
Carlos P. Modenutti · 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 2014421
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 423 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (1 paper), Genetic Associations and Epidemiology (1 paper), Mobile and Web Applications (1 paper), Enzyme Structure and Function (1 paper), Advanced Malware Detection Techniques (1 paper), IoT and Edge/Fog Computing (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Computational Theory and Mathematics (87 citations), Molecular Biology (318 citations), Microbiology (17 citations), Pharmacology (16 citations) and Spectroscopy (29 citations). Jesse Woo has collaborated with scholars based in United States. Frequent co-authors include Shuchismita Dutta, Peter W. Rose, Philip E. Bourne, Rachel Kramer Green, Wolfgang F. Bluhm, Chunxiao Bi, Andreas Prlić, David S. Goodsell, S.K. Burley and John Westbrook. 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.

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