Jason M. Gilmore

953 citations
7 papers · 308 indexed · 1 hit paper · h-index 5
    • Metabolomics and Mass Spectrometry Studies 2
    • Bioinformatics and Genomic Networks 2
    • Genomics and Phylogenetic Studies 2
    • Microbial Metabolic Engineering and Bioproduction 1
    • Machine Learning in Bioinformatics 1
    • Protein Structure and Dynamics 1
    • Advanced Proteomics Techniques and Applications 4
    • Mass Spectrometry Techniques and Applications 2

Jason M. Gilmore

7 papers receiving 301 citations

Hit Papers

De novo design of protein homo-oligomers with modular hyd...232201620262019202250100150200

Peers

Jason M. Gilmore
Comparison fields: 5 of 61
  • Molecular Biology 264
  • Spectroscopy 54
  • Biomaterials 25
  • Materials Chemistry 70
  • Structural Biology 2
Replace Patrick Durkin with:
Patrick Durkin Germany
Ilona Christy Unarta Hong Kong
Jack W. Heal United Kingdom
Samantha Cambray United States
Emily G. Baker United Kingdom
Jaeyoung Pai South Korea
Daisuke Kajihara Japan
Jasper C. Lin United States
Heiko Bönisch Germany
Jung Yeol Lee South Korea
Jason M. Gilmore relative to Patrick Durkin Germany Patrick Durkin's profile →
Citations per field
00.5×1.5×
Patrick Durkin · 1×
Citations per year

Countries citing papers authored by Jason M. Gilmore

Since Specialization
Citations

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

Fields of papers citing papers by Jason M. Gilmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason M. Gilmore. 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 Jason M. Gilmore. The network helps show where Jason M. Gilmore may publish in the future.

Co-authorship network

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

All Works

7 of 7 papers shown
#Work
1 20203
2 201924
3
De novo design of protein homo-oligomers with modular hydrogen-bond network–mediated specificitybreakdown →
2016232
4 20137
5 201135
6 20091
7 20086

About Jason M. Gilmore

Jason M. Gilmore is a scholar working on Spectroscopy, Molecular Biology and Cell Biology, having authored 7 papers that have together received 308 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Phylogenetic Studies (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Microbial Metabolic Engineering and Bioproduction (1 paper), Machine Learning in Bioinformatics (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Molecular Biology (264 citations), Spectroscopy (54 citations) and Biomaterials (25 citations). Jason M. Gilmore has collaborated with scholars based in United States. Frequent co-authors include Scott E. Boyken, Benjamin Groves, Alex Ford, Banumathi Sankaran, Peter H. Zwart, Zibo Chen, Frank DiMaio, J.H. Pereira, Robert A. Langan and Georg Seelig. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Analytical Chemistry, Science, PLoS ONE and Bioinformatics.

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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