Bailey Godwin

15.9k citations
2 papers · 3.6k indexed · 1 hit paper · h-index 1

Impact in

    • Bioinformatics and Genomic Networks
    • Fungal and yeast genetics research
    • Microbial Metabolic Engineering and Bioproduction
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Gene Regulatory Network Analysis
    • Gene expression and cancer classification

Papers in

Bailey Godwin

1 paper receiving 3.4k citations

Hit Papers

A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae 2000 · 3.6k citations
3.6k200020262008201710002.0k3.0k

Peers

Bailey Godwin
Comparison fields: 5 of 103
  • Molecular Biology 3.4k
  • Cell Biology 499
  • Computational Theory and Mathematics 403
  • Spectroscopy 282
  • Aging 27
Replace Maithreyan Srinivasan with:
Maithreyan Srinivasan United States
Tomoko Chiba Japan
Meijia Yang United States
Pascale Pochart France
Loïc Giot United States
Ashton Breitkreutz Canada
Andrew Chatr‐aryamontri United States
Ronald Jansen United States
Jennifer Rust United States
Łukasz Salwiński United States
Bailey Godwin relative to Maithreyan Srinivasan United States Maithreyan Srinivasan's profile →
Citations per field
00.5×1.5×
Maithreyan Srinivasan · 1×
Citations per year

Countries citing papers authored by Bailey Godwin

Since Specialization
Citations

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

Fields of papers citing papers by Bailey Godwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside Bailey Godwin, 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 Bailey Godwin Line = papers co-authored together Bailey Godwin links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown
#Work
1 20250
2
A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae
Hit paper breakdown →
20003577

About Bailey Godwin

Bailey Godwin is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Genetics and Molecular Biology, having authored 2 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (1 paper), Insect and Arachnid Ecology and Behavior (1 paper), Animal Behavior and Reproduction (1 paper), Fungal and yeast genetics research (1 paper), Biotin and Related Studies (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Molecular Biology (3.4k citations), Cell Biology (499 citations), Computational Theory and Mathematics (403 citations), Spectroscopy (282 citations) and Aging (27 citations). Bailey Godwin has collaborated with scholars based in United States. Frequent co-authors include Richard Judson, Vaibhav A. Narayan, Traci A. Mansfield, Meijia Yang, Jonathan M. Rothberg, Maithreyan Srinivasan, Daniel Lockshon, Ying Li, Peter Uetz and Gerard Cagney. Their work appears in journals such as Royal Society Open Science and Nature.

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

Rankless by CCL
2026