Sean Griffith

972 citations
6 papers · 76 · h-index 4

Impact in

    • Seismic Imaging and Inversion Techniques
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities

Papers in

    • Genomics and Rare Diseases 2
    • Genetic Mapping and Diversity in Plants and Animals 1
    • Genetic and phenotypic traits in livestock 1
    • Genomics and Phylogenetic Studies 2
    • Gene expression and cancer classification 1

Sean Griffith

6 papers receiving 74 citations

Peers

Sean Griffith
Comparison fields: 5 of 38
  • Geophysics 15
  • Genetics 30
  • Cancer Research 13
  • Computational Theory and Mathematics 15
  • Computational Mechanics 13
Replace Marleen Balvert with:
Marleen Balvert Netherlands
Kinza Rian Spain
Manik Garg United Kingdom
Mullai Murugan United States
Rachelly Normand Israel
Ellen Adlem United Kingdom
Amanda E. Links United States
Tejas Shah United Kingdom
Michael D. Nicholson United Kingdom
Jordi Abante United States
Sean Griffith relative to Marleen Balvert Netherlands Marleen Balvert's profile →
Citations per field
00.5×3.8×
Marleen Balvert · 1×
Citations per year

Countries citing papers authored by Sean Griffith

Since Specialization
Citations

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

Fields of papers citing papers by Sean Griffith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 202224
2 200921
3 202114
4 202212
5 20173
6 20162

About Sean Griffith

Sean Griffith is a scholar working on Genetics, Molecular Biology, Cancer Research, Computational Mechanics and Geophysics, having authored 6 papers that have together received 76 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Genomics and Rare Diseases (2 papers), Cancer Genomics and Diagnostics (2 papers), Advanced Mathematical Modeling in Engineering (1 paper), Gene expression and cancer classification (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Advanced Numerical Methods in Computational Mathematics (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Geophysics (15 citations), Genetics (30 citations), Cancer Research (13 citations), Computational Theory and Mathematics (15 citations) and Computational Mechanics (13 citations). Sean Griffith has collaborated with scholars based in United States. Frequent co-authors include Susan E. Minkoff, David Valle, Kimberly F. Doheny, Ada Hamosh, Renan Paulo Martin, Nara Sobreira, Corina Antonescu, Zeynep Coban‐Akdemir, Elizabeth Wohler and Shalini N. Jhangiani. Their work appears in journals such as Human Mutation, Current Protocols in Human Genetics, Orphanet Journal of Rare Diseases, SIAM Journal on Scientific Computing and BMC Proceedings.

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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