Daniel J. Treacy
Impact in
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- Genetic Neurodegenerative Diseases
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- Muscle Physiology and Disorders
- RNA and protein synthesis mechanisms
- Mitochondrial Function and Pathology
- Melanoma and MAPK Pathways
Papers in
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- Muscle Physiology and Disorders 2
- Melanoma and MAPK Pathways 2
- RNA Research and Splicing 2
- Genetics, Bioinformatics, and Biomedical Research 2
- Ubiquitin and proteasome pathways 1
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- Genetic Neurodegenerative Diseases 3
- Co-authors
- Eric T. Wang (3 shared papers)Christopher B. Burge (3 shared papers)David E. Housman (2 shared papers)Neal Cody (1 shared paper)Michela Biancolella (1 shared paper)Sonali P. Jog (1 shared paper)Éric Lécuyer (1 shared paper)Sita Reddy (1 shared paper)
- Journals
- Cancer Research (3 papers)Journal of Clinical Oncology (1 paper)Cell (1 paper)Cancer Discovery (1 paper)CBE—Life Sciences Education (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Daniel J. Treacy
11 papers receiving 916 citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 266
- Molecular Biology 745
- Aging 12
- Genetics 60
- Cancer Research 81
Countries citing papers authored by Daniel J. Treacy
This map shows the geographic impact of Daniel J. Treacy'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 Daniel J. Treacy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Treacy more than expected).
Fields of papers citing papers by Daniel J. Treacy
This network shows the impact of papers produced by Daniel J. Treacy. 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 Daniel J. Treacy. The network helps show where Daniel J. Treacy may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Treacy, 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 | 2012 | 390 | |
| 2 | 2015 | 152 | |
| 3 | 2016 | 100 | |
| 4 | 2018 | 94 | |
| 5 | 2014 | 81 | |
| 6 | 2015 | 48 | |
| 7 | 2011 | 31 | |
| 8 | 2011 | 12 | |
| 9 | 2011 | 9 | |
| 10 | 2013 | 4 | |
| 11 | 2016 | 1 |
About Daniel J. Treacy
Daniel J. Treacy is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Cancer Research and Communication, having authored 11 papers that have together received 922 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (3 papers), Cancer Mechanisms and Therapy (2 papers), Cancer Genomics and Diagnostics (2 papers), Muscle Physiology and Disorders (2 papers), Melanoma and MAPK Pathways (2 papers), RNA Research and Splicing (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (266 citations), Molecular Biology (745 citations), Aging (12 citations), Genetics (60 citations) and Cancer Research (81 citations). Daniel J. Treacy has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Eric T. Wang, Christopher B. Burge, David E. Housman, Neal Cody, Michela Biancolella, Sonali P. Jog, Éric Lécuyer, Sita Reddy, Shujun Luo and Gary P. Schroth. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Cell, Cancer Discovery and CBE—Life Sciences Education.
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.