Diane Trout
Impact in
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- Epigenetics and DNA Methylation
- Single-cell and spatial transcriptomics
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
Papers in
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- Single-cell and spatial transcriptomics 3
- RNA Research and Splicing 2
- Gene Regulatory Network Analysis 2
- RNA modifications and cancer 2
- Bioinformatics and Genomic Networks 1
- Epigenetics and DNA Methylation 1
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- Birth, Development, and Health 1
- Co-authors
- B Wold (5 shared papers)A Mortazavi (3 shared papers)Diane E. Dickel (2 shared papers)Brian A. Williams (3 shared papers)L Pennacchio (2 shared papers)Axel Visel (2 shared papers)Bing Ren (2 shared papers)Christopher E. Hart (1 shared paper)
- Journals
- Nature (2 papers)Genome Research (1 paper)Genome biology (1 paper)PLoS Computational Biology (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesUnited KingdomIceland
In The Last Decade
Diane Trout
5 papers receiving 271 citations
Peers
Comparison fields: 5 of 68
- Aging 16
- Molecular Biology 238
- Cancer Research 39
- Biophysics 12
- Genetics 40
Countries citing papers authored by Diane Trout
This map shows the geographic impact of Diane Trout'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 Diane Trout with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane Trout more than expected).
Fields of papers citing papers by Diane Trout
This network shows the impact of papers produced by Diane Trout. 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 Diane Trout. The network helps show where Diane Trout may publish in the future.
Co-authors
The 25 scholars most cited alongside Diane Trout, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 97 | |
| 2 | 2020 | 78 | |
| 3 | 2006 | 46 | |
| 4 | 2021 | 29 | |
| 5 | 2008 | 24 | |
| 6 | 2025 | 0 |
About Diane Trout
Diane Trout is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Aging, Plant Science and Infectious Diseases, having authored 6 papers that have together received 274 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), RNA Research and Splicing (2 papers), Gene Regulatory Network Analysis (2 papers), RNA modifications and cancer (2 papers), Bioinformatics and Genomic Networks (1 paper), Epigenetics and DNA Methylation (1 paper), Birth, Development, and Health (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Aging (16 citations), Molecular Biology (238 citations), Cancer Research (39 citations), Biophysics (12 citations) and Genetics (40 citations). Diane Trout has collaborated with scholars based in United States, United Kingdom and Iceland. Frequent co-authors include B Wold, A Mortazavi, Diane E. Dickel, Brian A. Williams, L Pennacchio, Axel Visel, Bing Ren, Christopher E. Hart, Libera Berghella and Henry Amrhein. Their work appears in journals such as Nature, Genome Research, Genome biology, PLoS Computational Biology and BMC 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.