Russell G. Snell

16.7k total citations · 3 hit papers
134 papers, 6.0k citations indexed

About

Russell G. Snell is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Russell G. Snell has authored 134 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 45 papers in Genetics and 41 papers in Cellular and Molecular Neuroscience. Recurrent topics in Russell G. Snell's work include Genetic Neurodegenerative Diseases (37 papers), Genetic and phenotypic traits in livestock (30 papers) and Mitochondrial Function and Pathology (27 papers). Russell G. Snell is often cited by papers focused on Genetic Neurodegenerative Diseases (37 papers), Genetic and phenotypic traits in livestock (30 papers) and Mitochondrial Function and Pathology (27 papers). Russell G. Snell collaborates with scholars based in New Zealand, United Kingdom and United States. Russell G. Snell's co-authors include Richard Spelman, Suzanne J. Reid, Christine A. Ford, Richard J. Wilkins, Garry B. Udy, Prabha A. Ram, Helen W. Davey, Soo-Hee Park, David J. Waxman and Jeremy P. Cheadle and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nucleic Acids Research.

In The Last Decade

Russell G. Snell

129 papers receiving 5.8k citations

Hit Papers

Requirement of STAT5b for... 1993 2026 2004 2015 1997 2002 1993 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Russell G. Snell 2.5k 2.4k 1.5k 683 628 134 6.0k
P. Jones 1.8k 0.7× 891 0.4× 570 0.4× 410 0.6× 473 0.8× 114 6.4k
G. Ferrari 3.4k 1.3× 827 0.3× 1.3k 0.9× 278 0.4× 232 0.4× 83 6.1k
Roland P.S. Kwok 3.8k 1.5× 1.1k 0.4× 732 0.5× 126 0.2× 609 1.0× 46 5.6k
Rainer Schneider 2.9k 1.1× 360 0.1× 928 0.6× 714 1.0× 236 0.4× 90 4.5k
Jerome Schaack 3.9k 1.5× 1.0k 0.4× 689 0.5× 277 0.4× 373 0.6× 108 6.1k
Dirk Bohmann 7.7k 3.0× 999 0.4× 1.4k 0.9× 236 0.3× 980 1.6× 84 10.6k
Yuji Tanaka 2.2k 0.9× 420 0.2× 1.1k 0.7× 778 1.1× 163 0.3× 116 4.7k
William Biggs 6.0k 2.4× 1.2k 0.5× 767 0.5× 74 0.1× 618 1.0× 33 8.1k
Patrick Martin 3.4k 1.3× 1.1k 0.4× 829 0.6× 83 0.1× 387 0.6× 129 5.8k
Isabel Novoa 6.5k 2.5× 674 0.3× 505 0.3× 222 0.3× 442 0.7× 26 11.0k

Countries citing papers authored by Russell G. Snell

Since Specialization
Citations

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

Fields of papers citing papers by Russell G. Snell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Russell G. Snell. 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 Russell G. Snell. The network helps show where Russell G. Snell may publish in the future.

Co-authorship network of co-authors of Russell G. Snell

This figure shows the co-authorship network connecting the top 25 collaborators of Russell G. Snell. A scholar is included among the top collaborators of Russell G. Snell 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 Russell G. Snell. Russell G. Snell 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.
Li, Jun, Skye R. Rudiger, Jennifer M. Kelly, et al.. (2025). Presenilin 1 hemizygosity has no overt deleterious phenotypic outcomes in sheep: Potential implications for therapeutic targets in Alzheimer's disease. Neurobiology of Aging. 152. 25–33.
2.
Walker, Caroline, Zaneta M. Thayer, Emma Marks, et al.. (2024). Association between maternal depression symptoms and child telomere length. Journal of Psychiatric Research. 174. 319–325.
3.
Jiang, Andrew, Russell G. Snell, & Klaus Lehnert. (2024). ICARUS v3, a massively scalable web server for single-cell RNA-seq analysis of millions of cells. Bioinformatics. 40(4). 3 indexed citations
4.
Lopdell, Thomas, Claire Prowse-Wilkins, Sarah Knowles, et al.. (2024). A common regulatory haplotype doubles lactoferrin concentration in milk. Genetics Selection Evolution. 56(1). 22–22. 3 indexed citations
5.
Jiang, Andrew, Linya You, Renée R. Handley, et al.. (2024). Single nuclei RNA-seq reveals a medium spiny neuron glutamate excitotoxicity signature prior to the onset of neuronal death in an ovine Huntington’s disease model. Human Molecular Genetics. 33(17). 1524–1539. 4 indexed citations
6.
Jiang, Andrew, Renée R. Handley, Klaus Lehnert, & Russell G. Snell. (2023). From Pathogenesis to Therapeutics: A Review of 150 Years of Huntington’s Disease Research. International Journal of Molecular Sciences. 24(16). 13021–13021. 68 indexed citations
7.
Broadhurst, Marita, et al.. (2023). Successful editing and maintenance of lactogenic gene expression in primary bovine mammary epithelial cells. In Vitro Cellular & Developmental Biology - Animal. 3 indexed citations
8.
Jiang, Andrew, Linya You, Russell G. Snell, & Klaus Lehnert. (2022). Delineation of complex gene expression patterns in single cell RNA-seq data with ICARUS v2.0. NAR Genomics and Bioinformatics. 5(2). lqad032–lqad032. 5 indexed citations
9.
Jiang, Andrew, Klaus Lehnert, Linya You, & Russell G. Snell. (2022). ICARUS, an interactive web server for single cell RNA-seq analysis. Nucleic Acids Research. 50(W1). W427–W433. 23 indexed citations
10.
Sugrue, Victoria J, Joseph A. Zoller, Pritika Narayan, et al.. (2021). Castration delays epigenetic aging and feminizes DNA methylation at androgen-regulated loci. eLife. 10. 42 indexed citations
11.
Poquérusse, Jessie, et al.. (2021). Novel PRMT7 mutation in a rare case of dysmorphism and intellectual disability. Journal of Human Genetics. 67(1). 19–26. 9 indexed citations
12.
Cleuren, Yamila N. Torres, et al.. (2020). Natural cryptic variation in epigenetic modulation of an embryonic gene regulatory network. Proceedings of the National Academy of Sciences. 117(24). 13637–13646. 14 indexed citations
13.
López‐Villalobos, N., Stephen R. Davis, Sarah Berry, et al.. (2020). Genetic correlations of milk fatty acid contents predicted from milk mid-infrared spectra in New Zealand dairy cattle. Journal of Dairy Science. 103(8). 7238–7248. 13 indexed citations
15.
Lopdell, Thomas, Christine Couldrey, Kathryn Tiplady, et al.. (2018). Widespread cis -regulation of RNA editing in a large mammal. RNA. 25(3). 319–335. 6 indexed citations
16.
Ly, Kien, Callum Wilson, Klaus Lehnert, et al.. (2018). Modelling brain dopamine-serotonin vesicular transport disease in Caenorhabditis elegans. Disease Models & Mechanisms. 11(11). 4 indexed citations
17.
Harland, Chad, et al.. (2018). GWAS of novel protein coding variants discovered through whole genome sequencing of dairy cattle. Proceedings of the World Congress on Genetics Applied to Livestock Production. 421. 1 indexed citations
18.
Lopdell, Thomas, Kathryn Tiplady, Maksim Struchalin, et al.. (2017). DNA and RNA-sequence based GWAS highlights membrane-transport genes as key modulators of milk lactose content. BMC Genomics. 18(1). 968–968. 45 indexed citations
19.
Handley, Renée R., Stefano Patassini, Skye R. Rudiger, et al.. (2011). Characterisation of a transgenic ovine model of Huntington’s disease. Clinical Genetics. 1 indexed citations
20.
Rees, Mark I., Kristin Baer, Hamish E. Ward, et al.. (2001). A missense mutation of human Gephyrin (GPHN) is associated with Hyperekplexia and transcript isoform analysis re-defines the genomic structure of GPHN. ORCA Online Research @Cardiff (Cardiff University). 1 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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