Daniel N. Murphy
Impact in
- Genetics top 5%
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Genetics and Neurodevelopmental Disorders
- Neurogenetic and Muscular Disorders Research
- BRCA gene mutations in cancer
Papers in
- Genetics 5
- Genomics and Rare Diseases 5
- Genomic variations and chromosomal abnormalities 1
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- RNA Research and Splicing 1
- Co-authors
- Deborah M. Lambert (3 shared papers)Ana Rath (1 shared paper)Yann Le Cam (1 shared paper)Charlotte Rodwell (1 shared paper)Stéphanie Nguengang Wakap (1 shared paper)Annie Olry (1 shared paper)Valérie Serrière-Lanneau (1 shared paper)Aoife McLysaght (1 shared paper)
- Journals
- European Journal of Human Genetics (2 papers)PLoS ONE (1 paper)eLife (1 paper)Orphanet Journal of Rare Diseases (1 paper)Journal of Autism and Developmental Disorders (1 paper)
- Partner nations
- IrelandFranceUnited Kingdom
In The Last Decade
Daniel N. Murphy
8 papers receiving 1.2k citations
Daniel N. Murphy's Hit Papers
Peers
Comparison fields: 5 of 116
- Genetics 577
- Aging 13
- Molecular Biology 465
- Health Informatics 9
- Genetics 63
Countries citing papers authored by Daniel N. Murphy
This map shows the geographic impact of Daniel N. Murphy'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 N. Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel N. Murphy more than expected).
Fields of papers citing papers by Daniel N. Murphy
This network shows the impact of papers produced by Daniel N. Murphy. 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 N. Murphy. The network helps show where Daniel N. Murphy may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel N. Murphy, 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 | Estimating cumulative point prevalence of rare diseases: analysis of the Orphanet database Hit paper breakdown → | 2019 | 913 |
| 2 | 2017 | 230 | |
| 3 | 2012 | 39 | |
| 4 | 2020 | 18 | |
| 5 | 2022 | 14 | |
| 6 | 2019 | 7 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 6 |
About Daniel N. Murphy
Daniel N. Murphy is a scholar working on Genetics, Molecular Biology, Pulmonary and Respiratory Medicine, Cognitive Neuroscience and Immunology, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (5 papers), Autism Spectrum Disorder Research (1 paper), MicroRNA in disease regulation (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Genomic variations and chromosomal abnormalities (1 paper), Cystic Fibrosis Research Advances (1 paper), Cancer-related molecular mechanisms research (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Genetics (577 citations), Aging (13 citations), Molecular Biology (465 citations), Health Informatics (9 citations) and Genetics (63 citations). Daniel N. Murphy has collaborated with scholars based in Ireland, France and United Kingdom. Frequent co-authors include Deborah M. Lambert, Ana Rath, Yann Le Cam, Charlotte Rodwell, Stéphanie Nguengang Wakap, Annie Olry, Valérie Serrière-Lanneau, Aoife McLysaght, Christopher M. Dooley and Neha Wali. Their work appears in journals such as European Journal of Human Genetics, PLoS ONE, eLife, Orphanet Journal of Rare Diseases and Journal of Autism and Developmental Disorders.
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.