David McGaughey

1.3k total citations
20 papers, 587 citations indexed

About

David McGaughey is a scholar working on Molecular Biology, Ophthalmology and Rheumatology. According to data from OpenAlex, David McGaughey has authored 20 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 4 papers in Ophthalmology and 3 papers in Rheumatology. Recurrent topics in David McGaughey's work include Retinal Development and Disorders (6 papers), RNA modifications and cancer (5 papers) and Genomics and Chromatin Dynamics (5 papers). David McGaughey is often cited by papers focused on Retinal Development and Disorders (6 papers), RNA modifications and cancer (5 papers) and Genomics and Chromatin Dynamics (5 papers). David McGaughey collaborates with scholars based in United States, United Kingdom and Ireland. David McGaughey's co-authors include Andrew S. McCallion, Jimmy Huynh, Seneca L. Bessling, M Beer, Amr Al‐Saif, Robert B. Hufnagel, Temesgen Fufa, Eun Young Seo, Julia A. Segre and Lawrence C. Brody and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genome Research.

In The Last Decade

David McGaughey

20 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David McGaughey United States 14 433 145 58 57 51 20 587
Nisha Patel Saudi Arabia 17 428 1.0× 267 1.8× 72 1.2× 69 1.2× 60 1.2× 39 727
Matthew A. Lines Canada 19 634 1.5× 283 2.0× 92 1.6× 73 1.3× 37 0.7× 35 919
Annabel Christ Germany 14 321 0.7× 101 0.7× 50 0.9× 97 1.7× 40 0.8× 18 556
Majida Charif Morocco 17 417 1.0× 114 0.8× 36 0.6× 37 0.6× 23 0.5× 51 617
Christel Vaché France 14 611 1.4× 102 0.7× 69 1.2× 53 0.9× 121 2.4× 24 799
Andy Watt United States 7 678 1.6× 61 0.4× 20 0.3× 30 0.5× 187 3.7× 12 1.0k
Emma L. Baple United Kingdom 18 547 1.3× 373 2.6× 24 0.4× 137 2.4× 54 1.1× 59 902
Roberta Tammaro Italy 11 515 1.2× 180 1.2× 87 1.5× 91 1.6× 67 1.3× 12 615
Thomas B. Nicholson United States 10 768 1.8× 136 0.9× 12 0.2× 31 0.5× 50 1.0× 14 867
K.K. Kidd United States 13 392 0.9× 335 2.3× 18 0.3× 47 0.8× 58 1.1× 37 730

Countries citing papers authored by David McGaughey

Since Specialization
Citations

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

Fields of papers citing papers by David McGaughey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David McGaughey. 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 David McGaughey. The network helps show where David McGaughey may publish in the future.

Co-authorship network of co-authors of David McGaughey

This figure shows the co-authorship network connecting the top 25 collaborators of David McGaughey. A scholar is included among the top collaborators of David McGaughey 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 David McGaughey. David McGaughey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Batz, Zachary, et al.. (2023). PLAE Web App Enables Powerful Searching and Multiple Visualizations Across One Million Unified Single-Cell Ocular Transcriptomes. Translational Vision Science & Technology. 12(9). 18–18. 1 indexed citations
2.
McGaughey, David, Congxiao Zhang, James H. Liu, et al.. (2022). Transcriptional mapping of the macaque retina and RPE-choroid reveals conserved inter-tissue transcription drivers and signaling pathways. Frontiers in Genetics. 13. 949449–949449. 2 indexed citations
3.
Farnoodian, Mitra, Vladimir Khristov, Savitri Maddileti, et al.. (2022). Cell-autonomous lipid-handling defects in Stargardt iPSC-derived retinal pigment epithelium cells. Stem Cell Reports. 17(11). 2438–2450. 20 indexed citations
4.
Fufa, Temesgen, et al.. (2021). Building the mega single-cell transcriptome ocular meta-atlas. GigaScience. 10(10). 21 indexed citations
5.
McGaughey, David, et al.. (2021). Loss of the Vitamin B-12 Transport Protein Tcn2 Results in Maternally Inherited Growth and Developmental Defects in Zebrafish. Journal of Nutrition. 151(9). 2522–2532. 1 indexed citations
6.
Green, David J., Eva Lenassi, Cerys Manning, et al.. (2021). North Carolina Macular Dystrophy: Phenotypic Variability and Computational Analysis of Disease-Associated Noncoding Variants. Investigative Ophthalmology & Visual Science. 62(7). 16–16. 9 indexed citations
7.
McGaughey, David, et al.. (2019). Eye in a Disk: eyeIntegration Human Pan-Eye and Body Transcriptome Database Version 1.0. Investigative Ophthalmology & Visual Science. 60(8). 3236–3236. 22 indexed citations
8.
McGaughey, David, et al.. (2018). Functional and phylogenetic characterization of noncanonical vitamin B12–binding proteins in zebrafish suggests involvement in cobalamin transport. Journal of Biological Chemistry. 293(45). 17606–17621. 8 indexed citations
9.
10.
Molloy, Anne M., Faith Pangilinan, James L. Mills, et al.. (2016). A Common Polymorphism in HIBCH Influences Methylmalonic Acid Concentrations in Blood Independently of Cobalamin. The American Journal of Human Genetics. 98(5). 869–882. 46 indexed citations
11.
McGaughey, David, Hatice Özel Abaan, Ryan M. Miller, Peter Kropp, & Lawrence C. Brody. (2014). Genomics of CpG Methylation in Developing and Developed Zebrafish. G3 Genes Genomes Genetics. 4(5). 861–869. 39 indexed citations
12.
Liu, Yaping, Lilei Zhang, Pei-Lung Chen, et al.. (2014). Functional Variants in DPYSL2 Sequence Increase Risk of Schizophrenia and Suggest a Link to mTOR Signaling. G3 Genes Genomes Genetics. 5(1). 61–72. 38 indexed citations
13.
Taher, Leila, David McGaughey, Samantha Maragh, et al.. (2011). Genome-wide identification of conserved regulatory function in diverged sequences. Genome Research. 21(7). 1139–1149. 63 indexed citations
14.
Maragh, Samantha, Ronald Miller, Seneca L. Bessling, et al.. (2011). Identification of RNA binding motif proteins essential for cardiovascular development. BMC Developmental Biology. 11(1). 62–62. 23 indexed citations
15.
Stine, Zachary E., et al.. (2011). Steroid hormone modulation of RET through two estrogen responsive enhancers in breast cancer. Human Molecular Genetics. 20(19). 3746–3756. 34 indexed citations
16.
McGaughey, David & Andrew S. McCallion. (2010). Efficient discovery of ASCL1 regulatory sequences through transgene pooling. Genomics. 95(6). 363–369. 3 indexed citations
17.
18.
Pontual, Loïc de, Norann A. Zaghloul, Sophie Thomas, et al.. (2009). Epistasis between RET and BBS mutations modulates enteric innervation and causes syndromic Hirschsprung disease. Proceedings of the National Academy of Sciences. 106(33). 13921–13926. 34 indexed citations
19.
McGaughey, David, et al.. (2007). Metrics of sequence constraint overlook regulatory sequences in an exhaustive analysis at phox2b. Genome Research. 18(2). 252–260. 100 indexed citations
20.
Seo, Eun Young, et al.. (2006). Klf4 and corticosteroids activate an overlapping set of transcriptional targets to acceleratein uteroepidermal barrier acquisition. Proceedings of the National Academy of Sciences. 103(49). 18668–18673. 59 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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