Travis Cossette

584 citations
14 papers · 451 · h-index 11

Impact in

Papers in

    • RNA Interference and Gene Delivery 4
    • Viral Infectious Diseases and Gene Expression in Insects 4
    • Retinal Development and Disorders 4
    • Bioinformatics and Genomic Networks 2
    • CRISPR and Genetic Engineering 1
    • Virus-based gene therapy research 7

Travis Cossette

14 papers receiving 443 citations

Peers

Travis Cossette
Comparison fields: 5 of 58
  • Ophthalmology 87
  • Genetics 175
  • Molecular Biology 327
  • Neurology 33
  • Clinical Biochemistry 23
Replace Daniel Navarro-Gomez with:
Daniel Navarro-Gomez United States
Rebecca McGreal United States
Anne Louise Askou Denmark
Silvio Alessandro Di Gioia Switzerland
María González‐del Pozo Spain
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Una Kelly United States
Ji‐Neng Lv China
Ponugoti Vasantha Rao United States
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Citations per field
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Citations per year

Countries citing papers authored by Travis Cossette

Since Specialization
Citations

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

Fields of papers citing papers by Travis Cossette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201379
2 201966
3 201159
4 200744
5 200543
6 201542
7 200841
8 201221
9 201316
10 202315
11 200614
12 20118
13 20252
14 20051

About Travis Cossette

Travis Cossette is a scholar working on Molecular Biology, Genetics, Ophthalmology, Clinical Biochemistry and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 451 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), RNA Interference and Gene Delivery (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Retinal Development and Disorders (4 papers), Metabolism and Genetic Disorders (2 papers), Bioinformatics and Genomic Networks (2 papers), Retinal Diseases and Treatments (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Ophthalmology (87 citations), Genetics (175 citations), Molecular Biology (327 citations), Neurology (33 citations) and Clinical Biochemistry (23 citations). Travis Cossette has collaborated with scholars based in United States and Saudi Arabia. Frequent co-authors include Thomas J. Conlon, Kirsten Erger, William W. Hauswirth, Sanford L. Boye, Terence R. Flotte, Martha Campbell‐Thompson, Renee C. Ryals, Christian Mueller, Qiushi Tang and Frank M. Dyka. Their work appears in journals such as Molecular Therapy, Human Gene Therapy, BioMed Research International, PLoS Genetics and Molecular Neurodegeneration.

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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