Daniel N. Murphy

11.8k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Daniel N. Murphy is a scholar working on Genetics, Molecular Biology and Economics and Econometrics. According to data from OpenAlex, Daniel N. Murphy has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Economics and Econometrics. Recurrent topics in Daniel N. Murphy's work include Genomics and Rare Diseases (4 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and RNA Research and Splicing (2 papers). Daniel N. Murphy is often cited by papers focused on Genomics and Rare Diseases (4 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and RNA Research and Splicing (2 papers). Daniel N. Murphy collaborates with scholars based in Ireland, United Kingdom and France. Daniel N. Murphy's co-authors include Deborah M. Lambert, Valérie Serrière-Lanneau, Annie Olry, Stéphanie Nguengang Wakap, Charlotte Rodwell, Ana Rath, Yann Le Cam, Aoife McLysaght, Ian M. Sealy and Derek L. Stemple and has published in prestigious journals such as PLoS ONE, Journal of Autism and Developmental Disorders and eLife.

In The Last Decade

Daniel N. Murphy

8 papers receiving 1.1k citations

Hit Papers

Estimating cumulative point prevalence of rare diseases: ... 2019 2026 2021 2023 2019 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel N. Murphy Ireland 7 573 496 103 94 82 8 1.1k
Annie Olry France 4 633 1.1× 438 0.9× 107 1.0× 77 0.8× 75 0.9× 8 1.1k
Charlotte Rodwell France 5 551 1.0× 302 0.6× 115 1.1× 65 0.7× 77 0.9× 7 920
Stéphanie Nguengang Wakap France 4 494 0.9× 275 0.6× 101 1.0× 58 0.6× 71 0.9× 7 854
Florence Fellmann Switzerland 18 691 1.2× 417 0.8× 38 0.4× 133 1.4× 188 2.3× 54 1.4k
Kristy Lee United States 21 899 1.6× 586 1.2× 29 0.3× 329 3.5× 148 1.8× 55 1.9k
Megan R. Vanstone Canada 6 396 0.7× 381 0.8× 20 0.2× 82 0.9× 45 0.5× 6 748
Claudia Gonzaga‐Jauregui United States 21 736 1.3× 744 1.5× 14 0.1× 201 2.1× 93 1.1× 61 1.6k
Li Hsu United States 26 796 1.4× 663 1.3× 82 0.8× 291 3.1× 36 0.4× 120 2.1k
Jennifer Friedman United States 20 526 0.9× 444 0.9× 16 0.2× 127 1.4× 124 1.5× 57 1.6k

Countries citing papers authored by Daniel N. Murphy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel N. Murphy

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel N. Murphy. A scholar is included among the top collaborators of Daniel N. Murphy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel N. Murphy. Daniel N. Murphy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
McCarthy, Ellen P., et al.. (2022). Brief Report: Evaluating the Diagnostic Yield of Commercial Gene Panels in Autism. Journal of Autism and Developmental Disorders. 53(1). 484–488. 6 indexed citations
2.
Murphy, Daniel N., Walter Cullen, Orla Hardiman, et al.. (2022). Designing rare disease care pathways in the Republic of Ireland: a co-operative model. Orphanet Journal of Rare Diseases. 17(1). 162–162. 11 indexed citations
3.
Lambert, Deborah M., et al.. (2022). An estimate of the cumulative paediatric prevalence of rare diseases in Ireland and comment on the literature. European Journal of Human Genetics. 30(11). 1211–1215. 6 indexed citations
4.
Turner, Jacqueline A., Deborah M. Lambert, Daniel N. Murphy, et al.. (2020). The role of primary care in management of rare diseases in Ireland. Irish Journal of Medical Science (1971 -). 189(3). 771–776. 18 indexed citations
5.
Wakap, Stéphanie Nguengang, Deborah M. Lambert, Annie Olry, et al.. (2019). Estimating cumulative point prevalence of rare diseases: analysis of the Orphanet database. European Journal of Human Genetics. 28(2). 165–173. 833 indexed citations breakdown →
6.
O’Byrne, James J., et al.. (2019). The genetic and biochemical basis of trimethylaminuria in an Irish cohort. JIMD Reports. 47(1). 35–40. 6 indexed citations
7.
White, Richard, John Collins, Ian M. Sealy, et al.. (2017). A high-resolution mRNA expression time course of embryonic development in zebrafish. eLife. 6. 220 indexed citations
8.
Murphy, Daniel N. & Aoife McLysaght. (2012). De Novo Origin of Protein-Coding Genes in Murine Rodents. PLoS ONE. 7(11). e48650–e48650. 39 indexed citations

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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