Christopher Garay

487 citations
3 papers · 20 · h-index 3

Impact in

Papers in

    • Genomics and Phylogenetic Studies 1
    • Gene expression and cancer classification 1
    • Microbial Metabolic Engineering and Bioproduction 1
    • Biochemical and Molecular Research 1
    • Tuberculosis Research and Epidemiology 1

Christopher Garay

3 papers receiving 20 citations

Peers

Christopher Garay
Comparison fields: 5 of 18
  • Infectious Diseases 9
  • Information Systems and Management 2
  • Ecological Modeling 1
  • Molecular Biology 15
  • Cultural Studies 1
Replace Daniel Pablo‐Marcos with:
Daniel Pablo‐Marcos Spain
Chitra Hariharan United States
Victor Eneh United Kingdom
Patrick Müller Germany
Amna Faheem Pakistan
Lucas Barbosa Oliveira Brazil
Giselle D’Souza United Kingdom
Sameer Kumar Malladi India
Zachary S. Wallace United States
Chris Williams United Kingdom
Christopher Garay relative to Daniel Pablo‐Marcos Spain Daniel Pablo‐Marcos's profile →
Citations per field
00.5×1.5×
Daniel Pablo‐Marcos · 1×
Citations per year

Countries citing papers authored by Christopher Garay

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Garay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Christopher Garay, 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 Garay Line = papers co-authored together Christopher Garay links everyone, so they are left out of the graph.

All Works

About Christopher Garay

Christopher Garay is a scholar working on Molecular Biology, Infectious Diseases, Clinical Biochemistry, Artificial Intelligence and Organic Chemistry, having authored 3 papers that have together received 20 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (1 paper), Gene expression and cancer classification (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Tuberculosis Research and Epidemiology (1 paper), AI in Service Interactions (1 paper), Bacterial Identification and Susceptibility Testing (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Infectious Diseases (9 citations), Information Systems and Management (2 citations), Ecological Modeling (1 citation), Molecular Biology (15 citations) and Cultural Studies (1 citation). Christopher Garay has collaborated with scholars based in United States. Frequent co-authors include Jonathan M. Dreyfuss, James E. Galagan, Tonia Korves, Matthew Peterson, Wenling E. Chang, Lynette Hirschman, Patricia L. McDermott, John Aberdeen, Robyn Kozierok and Cheryl Clark. Their work appears in journals such as BMC Systems Biology, BMC Bioinformatics and Frontiers in Artificial Intelligence.

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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