Ian C. McDowell

2.7k total citations
18 papers, 802 citations indexed

About

Ian C. McDowell is a scholar working on Molecular Biology, Global and Planetary Change and Cancer Research. According to data from OpenAlex, Ian C. McDowell has authored 18 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Global and Planetary Change and 4 papers in Cancer Research. Recurrent topics in Ian C. McDowell's work include Genomics and Chromatin Dynamics (5 papers), Marine Bivalve and Aquaculture Studies (4 papers) and RNA Research and Splicing (4 papers). Ian C. McDowell is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Marine Bivalve and Aquaculture Studies (4 papers) and RNA Research and Splicing (4 papers). Ian C. McDowell collaborates with scholars based in United States, United Kingdom and Canada. Ian C. McDowell's co-authors include Timothy E. Reddy, Christopher M. Vockley, Barbara E. Engelhardt, William H. Majoros, Anthony D’Ippolito, Lingyun Song, Alexias Safi, Gregory E. Crawford, Marta Gómez-Chiarri and Chuan Gao and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Ian C. McDowell

18 papers receiving 796 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian C. McDowell United States 13 506 132 131 83 59 18 802
Thomas Schlitt United Kingdom 17 793 1.6× 271 2.1× 145 1.1× 66 0.8× 63 1.1× 28 1.2k
Koen Herten Belgium 5 452 0.9× 129 1.0× 102 0.8× 112 1.3× 58 1.0× 7 798
Yibo Wu China 4 658 1.3× 74 0.6× 67 0.5× 138 1.7× 62 1.1× 10 942
Jeong‐An Gim South Korea 14 364 0.7× 62 0.5× 100 0.8× 141 1.7× 71 1.2× 88 712
Olga Ermolaeva United States 7 791 1.6× 148 1.1× 69 0.5× 83 1.0× 116 2.0× 11 1.2k
Alex Pinder Australia 7 292 0.6× 89 0.7× 85 0.6× 65 0.8× 19 0.3× 9 533
Joaquín Tárraga Spain 14 792 1.6× 213 1.6× 74 0.6× 91 1.1× 155 2.6× 27 1.2k
Caroline Le Gall France 7 666 1.3× 98 0.7× 99 0.8× 190 2.3× 107 1.8× 10 1.0k
Nathalie Oulhen United States 18 399 0.8× 99 0.8× 81 0.6× 29 0.3× 43 0.7× 55 790
Frida Belinky United States 15 838 1.7× 212 1.6× 56 0.4× 144 1.7× 97 1.6× 20 1.2k

Countries citing papers authored by Ian C. McDowell

Since Specialization
Citations

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

Fields of papers citing papers by Ian C. McDowell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian C. McDowell. 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 Ian C. McDowell. The network helps show where Ian C. McDowell may publish in the future.

Co-authorship network of co-authors of Ian C. McDowell

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

All Works

18 of 18 papers shown
1.
Deng, Xinyue, Annie Liu, Luke C. Bartelt, et al.. (2023). Cooperative regulation of coupled oncoprotein synthesis and stability in triple-negative breast cancer by EGFR and CDK12/13. Proceedings of the National Academy of Sciences. 120(38). e2221448120–e2221448120. 9 indexed citations
2.
Dumitrascu, Bianca, Ian C. McDowell, Brian Jo, et al.. (2021). Causal network inference from gene transcriptional time-series response to glucocorticoids. PLoS Computational Biology. 17(1). e1008223–e1008223. 22 indexed citations
3.
Kabadi, Ami M., Rhianna E. Lee, Ian C. McDowell, et al.. (2021). Epigenome editing of the CFTR-locus for treatment of cystic fibrosis. Journal of Cystic Fibrosis. 21(1). 164–171. 12 indexed citations
4.
Johnson, Graham D., Alejandro Barrera, Ian C. McDowell, et al.. (2018). Human genome-wide measurement of drug-responsive regulatory activity. Nature Communications. 9(1). 5317–5317. 29 indexed citations
5.
D’Ippolito, Anthony, Ian C. McDowell, Alejandro Barrera, et al.. (2018). Pre-established Chromatin Interactions Mediate the Genomic Response to Glucocorticoids. Cell Systems. 7(2). 146–160.e7. 61 indexed citations
6.
McDowell, Ian C., Alejandro Barrera, Anthony D’Ippolito, et al.. (2018). Glucocorticoid receptor recruits to enhancers and drives activation by motif-directed binding. Genome Research. 28(9). 1272–1284. 79 indexed citations
7.
McDowell, Ian C., et al.. (2018). Clustering gene expression time series data using an infinite Gaussian process mixture model. PLoS Computational Biology. 14(1). e1005896–e1005896. 104 indexed citations
8.
Saha, Ashis, Yungil Kim, Ariel DH Gewirtz, et al.. (2017). Co-expression networks reveal the tissue-specific regulation of transcription and splicing. Genome Research. 27(11). 1843–1858. 102 indexed citations
9.
Guo, Cong, Ian C. McDowell, Michael Nodzenski, et al.. (2017). Transversions have larger regulatory effects than transitions. BMC Genomics. 18(1). 394–394. 83 indexed citations
10.
Hivert, Marie‐France, Denise Scholtens, Catherine Allard, et al.. (2017). Genetic determinants of adiponectin regulation revealed by pregnancy. Obesity. 25(5). 935–944. 8 indexed citations
11.
Vockley, Christopher M., et al.. (2017). A long-range flexible billboard model of gene activation. Transcription. 8(4). 261–267. 10 indexed citations
12.
McDowell, Ian C., et al.. (2016). Multi-species protein similarity clustering reveals novel expanded immune gene families in the eastern oyster Crassostrea virginica. Fish & Shellfish Immunology. 53. 13–23. 40 indexed citations
13.
Gao, Chuan, Ian C. McDowell, Shiwen Zhao, Andrew Brown, & Barbara E. Engelhardt. (2016). Context Specific and Differential Gene Co-expression Networks via Bayesian Biclustering. PLoS Computational Biology. 12(7). e1004791–e1004791. 34 indexed citations
14.
Vockley, Christopher M., Anthony D’Ippolito, Ian C. McDowell, et al.. (2016). Direct GR Binding Sites Potentiate Clusters of TF Binding across the Human Genome. Cell. 166(5). 1269–1281.e19. 123 indexed citations
15.
McDowell, Ian C., Chamilani Nikapitiya, Derek Aguiar, et al.. (2014). Transcriptome of American Oysters, Crassostrea virginica, in Response to Bacterial Challenge: Insights into Potential Mechanisms of Disease Resistance. PLoS ONE. 9(8). e105097–e105097. 58 indexed citations
16.
Nikapitiya, Chamilani, et al.. (2014). Identification of potential general markers of disease resistance in American oysters, Crassostrea virginica through gene expression studies. Fish & Shellfish Immunology. 41(1). 27–36. 23 indexed citations
17.
Nikapitiya, Chamilani, et al.. (2013). Identification of potential markers of disease resistance in eastern oysters (Crassostrea virginica) by deep analysis of the transcriptome. Fish & Shellfish Immunology. 34(6). 1668–1668. 2 indexed citations
18.
McDowell, Ian C.. (1994). Genetics and molecular biology. Current Opinion in Lipidology. 5(6). U140–142. 3 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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