Joe R. Davis

1.6k citations
10 papers · 722 indexed · 1 hit paper · h-index 9
  • Genetics top 5%
    • Genetic Associations and Epidemiology 6
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Genomics and Rare Diseases 1
    • Bioinformatics and Genomic Networks 2
    • RNA Research and Splicing 2
    • Genomics and Chromatin Dynamics 2
    • RNA modifications and cancer 1
    • Immune Cell Function and Interaction 1

Joe R. Davis

10 papers receiving 716 citations

Hit Papers

The impact of structural variation on human gene expression264201720262020202350100150200250

Peers

Joe R. Davis
Comparison fields: 5 of 96
  • Genetics 411
  • Molecular Biology 488
  • Cancer Research 101
  • Horticulture 3
  • Aging 5
Replace Christel Picard with:
Christel Picard France
Jessica M. Maia United States
Xuanyao Liu Singapore
Joyce Lee United States
Sahin Naqvi United States
Roya Hosseini United States
Michelle C. Ward United States
Glenn A. Maston United States
Patricia Diabangouaya France
Lucy H. Williams United States
Joe R. Davis relative to Christel Picard France Christel Picard's profile →
Citations per field
00.5×1.5×
Christel Picard · 1×
Citations per year

Countries citing papers authored by Joe R. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Joe R. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joe R. Davis. 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 Joe R. Davis. The network helps show where Joe R. Davis may publish in the future.

Co-authorship network

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

All Works

10 of 10 papers shown
#Work
1
The impact of structural variation on human gene expressionbreakdown →
2017264
2 201788
3 20176
4 2017144
5 201719
6 201719
7 201670
8 201554
9 201529
10 201429

About Joe R. Davis

Joe R. Davis is a scholar working on Genetics, Biophysics and Molecular Biology, having authored 10 papers that have together received 722 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Bioinformatics and Genomic Networks (2 papers), RNA Research and Splicing (2 papers), Genomics and Chromatin Dynamics (2 papers), Immune Cell Function and Interaction (1 paper), RNA modifications and cancer (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Genetics (411 citations), Molecular Biology (488 citations) and Cancer Research (101 citations). Joe R. Davis has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Alexis Battle, Stephen B. Montgomery, Xin Li, Colby Chiang, Ira M. Hall, Emily K. Tsang, Yungil Kim, Alexandra J. Scott, Tarik Hadžić and Liron Ganel. Their work appears in journals such as Nature, Nature Genetics 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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