Jason Dapper

1.0k citations
12 papers · 421 indexed · h-index 8

Impact in

    • Glaucoma and retinal disorders
    • Retinal Diseases and Treatments
    • Genomic variations and chromosomal abnormalities
    • Glioma Diagnosis and Treatment
    • Genomics and Rare Diseases

Papers in

    • Retinal Development and Disorders 3
    • Epigenetics and DNA Methylation 2
    • Glioma Diagnosis and Treatment 3
    • Genetics and Neurodevelopmental Disorders 2
    • Genomic variations and chromosomal abnormalities 1

Jason Dapper

12 papers receiving 417 citations

Peers

Jason Dapper
Comparison fields: 5 of 57
  • Ophthalmology 89
  • Genetics 63
  • Developmental Neuroscience 20
  • Genetics 131
  • Molecular Biology 267
Replace Hourinaz Behesti with:
Hourinaz Behesti United States
Rajnee Agarwal United States
Francesca Cavallo United States
Roberta Tammaro Italy
Andrea Kabosova United States
Alexandra Kobetz France
Tshering Lama-Sherpa United States
Daniela Sanges Italy
Meyer Barembaum United States
Shinya Obayashi Japan
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Citations per field
00.5×3.9×
Hourinaz Behesti · 1×
Citations per year

Countries citing papers authored by Jason Dapper

Since Specialization
Citations

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

Fields of papers citing papers by Jason Dapper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2003144
2 201363
3 201259
4 201547
5 201442
6 200530
7 202014
8 20189
9 20156
10 20055
11
p38 MAPK Activation in Rodent Retina with Glaucoma-Relevant Stressors
20121
12 20171

About Jason Dapper

Jason Dapper is a scholar working on Molecular Biology, Genetics, Genetics, Ophthalmology and Neurology, having authored 12 papers that have together received 421 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (3 papers), Glioma Diagnosis and Treatment (3 papers), Retinal Development and Disorders (3 papers), Neuroblastoma Research and Treatments (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Epigenetics and DNA Methylation (2 papers), Retinal Diseases and Treatments (2 papers) and Genomic variations and chromosomal abnormalities (1 paper). The work is most often cited by research in Ophthalmology (89 citations), Genetics (63 citations), Developmental Neuroscience (20 citations), Genetics (131 citations) and Molecular Biology (267 citations). Jason Dapper has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include David J. Calkins, Samuel D. Crish, Sung Sup Park, Keiko Wakui, Christine J. Shaw, James R. Lupski, Paweł Stankiewicz, Iok‐Hou Pang, Leah I. Elizondo and Marjorie Withers. Their work appears in journals such as Clinical Cancer Research, The American Journal of Human Genetics, Nature Genetics, Neuroscience and Journal of Clinical Oncology.

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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