Will C. Guest

1k citations
14 papers · 794 · h-index 8

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research

Papers in

    • Vascular Malformations Diagnosis and Treatment 3
    • Amyotrophic Lateral Sclerosis Research 1
    • Artificial Intelligence in Healthcare and Education 1

Will C. Guest

13 papers receiving 769 citations

Peers

Will C. Guest
Comparison fields: 5 of 91
  • Health Informatics 259
  • Neurology 190
  • Medical Terminology 1
  • Radiology, Nuclear Medicine and Imaging 58
  • Molecular Biology 145
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Citations per field
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Nora Chung Kim · 1×
Citations per year

Countries citing papers authored by Will C. Guest

Since Specialization
Citations

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

Fields of papers citing papers by Will C. Guest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Will C. Guest. 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 Will C. Guest. The network helps show where Will C. Guest may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2018399
2 2011224
3 201154
4 201139
5 201030
6 201113
7 201911
8 20218
9 20186
10 20224
11
Structure-Based Prediction of Unstable Regions in Proteins: Applications to Protein Misfolding Diseases
20093
12 20242
13 20211
14 20170

About Will C. Guest

Will C. Guest is a scholar working on Neurology, Health Informatics, Molecular Biology, Human-Computer Interaction and Biomedical Engineering, having authored 14 papers that have together received 794 indexed citations. Recurring topics across this work include Vascular Malformations Diagnosis and Treatment (3 papers), Prion Diseases and Protein Misfolding (3 papers), Anatomy and Medical Technology (2 papers), Protein Structure and Dynamics (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Virtual Reality Applications and Impacts (1 paper), Cancer survivorship and care (1 paper) and Amyotrophic Lateral Sclerosis Research (1 paper). The work is most often cited by research in Health Informatics (259 citations), Neurology (190 citations), Medical Terminology (1 citation), Radiology, Nuclear Medicine and Imaging (58 citations) and Molecular Biology (145 citations). Will C. Guest has collaborated with scholars based in Canada, Netherlands and Ireland. Frequent co-authors include Neil R. Cashman, Steven Samuel Plotkin, Edward Pokrishevsky, Megan A. O’Neill, Leslie I. Grad, Ebrima Gibbs, Valentyna Semenchenko, Anat Yanai, Masoud Yousefi and David Scott Wishart. Their work appears in journals such as Journal of Toxicology and Environmental Health, Physical Chemistry Chemical Physics, Neuroimaging Clinics of North America, Proceedings of the National Academy of Sciences and Biochemistry and Cell Biology.

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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