Casandra A. Trowbridge

13.1k citations
7 papers · 7.9k · 3 hit papers · h-index 6

Impact in

  • Genetics top 0.5%
    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
    • Cancer-related molecular mechanisms research

Papers in

    • Genetic Associations and Epidemiology 3
    • Genomics and Rare Diseases 2

Casandra A. Trowbridge

7 papers receiving 7.8k citations

Casandra A. Trowbridge's Hit Papers

Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics 2018 · 717 citations
7170+3+7Years since publication10002.0k3.0k

Peers

Casandra A. Trowbridge
Comparison fields: 5 of 144
  • Genetics 3.0k
  • Cancer Research 855
  • Molecular Biology 4.1k
  • Aging 87
  • Biological Psychiatry 65
Replace Mark Miklos with:
Mark Miklos United States
Bernadette Mestichelli United States
Kimberly M. Valentino United States
Kevin Myer United States
Nicole C. Lockhart United States
Joannella Morales United States
Taylor Young United States
Alvaro Barbeira United States
Aoife McMahon United Kingdom
Brian Roe United States
Casandra A. Trowbridge relative to Mark Miklos United States Mark Miklos's profile →
Citations per field
00.5×1.5×
Mark Miklos · 1×
Citations per year

Countries citing papers authored by Casandra A. Trowbridge

Since Specialization
Citations

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

Fields of papers citing papers by Casandra A. Trowbridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Casandra A. Trowbridge. 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 Casandra A. Trowbridge. The network helps show where Casandra A. Trowbridge may publish in the future.

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All Works

7 of 7 papers shown
#Work
1
The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans
Hit paper breakdown →
20153872
2
Genetic effects on gene expression across human tissues
Hit paper breakdown →
20172831
3
Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics
Hit paper breakdown →
2018717
4 2015220
5 2015165
6 202046
7 20191

About Casandra A. Trowbridge

Casandra A. Trowbridge is a scholar working on Genetics, Aging, Molecular Biology, Statistics, Probability and Uncertainty and Public Health, Environmental and Occupational Health, having authored 7 papers that have together received 7.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), RNA modifications and cancer (2 papers), Genomics and Rare Diseases (2 papers), Bioinformatics and Genomic Networks (2 papers), Mitochondrial Function and Pathology (1 paper), RNA Research and Splicing (1 paper), Gene expression and cancer classification (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Genetics (3.0k citations), Cancer Research (855 citations), Molecular Biology (4.1k citations), Aging (87 citations) and Biological Psychiatry (65 citations). Casandra A. Trowbridge has collaborated with scholars based in United States, Spain and Japan. Their work appears in journals such as Science, PLoS Computational Biology, Nature Communications, Nature and Scientific Reports.

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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