Gary W. Stuart

3.4k total citations
34 papers, 2.5k citations indexed

About

Gary W. Stuart is a scholar working on Molecular Biology, Genetics and Nutrition and Dietetics. According to data from OpenAlex, Gary W. Stuart has authored 34 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Genetics and 7 papers in Nutrition and Dietetics. Recurrent topics in Gary W. Stuart's work include Genomics and Phylogenetic Studies (8 papers), Trace Elements in Health (7 papers) and Animal Genetics and Reproduction (5 papers). Gary W. Stuart is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Trace Elements in Health (7 papers) and Animal Genetics and Reproduction (5 papers). Gary W. Stuart collaborates with scholars based in United States, Canada and China. Gary W. Stuart's co-authors include Peter F. Searle, Richard D. Palmiter, Monte Westerfield, R D Palmiter, Ralph L. Brinster, Gunnar Norstedt, Barry L. Davison, Thomas M. Wilkie, Arun S. Seetharam and Michael J. Carvan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Bioinformatics.

In The Last Decade

Gary W. Stuart

33 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary W. Stuart United States 21 1.5k 831 638 619 304 34 2.5k
Seth D. Findley United States 17 1.4k 0.9× 1.4k 1.7× 180 0.3× 805 1.3× 1.4k 4.7× 25 3.1k
Richard Oko Canada 47 2.4k 1.7× 371 0.4× 1.2k 1.9× 99 0.2× 267 0.9× 117 5.3k
Maurice Wegnez France 22 968 0.7× 250 0.3× 196 0.3× 218 0.4× 192 0.6× 55 1.4k
Fanis Missirlis Mexico 23 625 0.4× 335 0.4× 87 0.1× 156 0.3× 182 0.6× 53 1.5k
J. T. Bridgham United States 20 657 0.4× 142 0.2× 370 0.6× 84 0.1× 183 0.6× 23 1.6k
Shin‐ichi Kashiwabara Japan 28 1.5k 1.0× 113 0.1× 710 1.1× 42 0.1× 144 0.5× 57 2.8k
Anthony R. Bellvé United States 27 1.9k 1.3× 76 0.1× 1.2k 1.8× 88 0.1× 265 0.9× 49 3.8k
Flavio Mignone Italy 23 2.1k 1.4× 56 0.1× 370 0.6× 127 0.2× 410 1.3× 57 2.9k
Seiichiroh Ohsako Japan 27 657 0.4× 72 0.1× 307 0.5× 850 1.4× 75 0.2× 71 1.9k
Stefan Taubert Canada 26 2.1k 1.5× 82 0.1× 222 0.3× 47 0.1× 145 0.5× 46 3.5k

Countries citing papers authored by Gary W. Stuart

Since Specialization
Citations

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

Fields of papers citing papers by Gary W. Stuart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary W. Stuart. 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 Gary W. Stuart. The network helps show where Gary W. Stuart may publish in the future.

Co-authorship network of co-authors of Gary W. Stuart

This figure shows the co-authorship network connecting the top 25 collaborators of Gary W. Stuart. A scholar is included among the top collaborators of Gary W. Stuart 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 Gary W. Stuart. Gary W. Stuart 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.
Bai, Yongsheng, et al.. (2016). Dissecting the biological relationship between TCGA miRNA and mRNA sequencing data using MMiRNA-Viewer. BMC Bioinformatics. 17(S13). 336–336. 7 indexed citations
2.
Jiang, Hui, et al.. (2015). Correlating Bladder Cancer Risk Genes with their Targeting MicroRNAs using MMiRNA-Tar. Genomics Proteomics & Bioinformatics. 13(3). 177–182. 7 indexed citations
3.
Seetharam, Arun S. & Gary W. Stuart. (2013). Whole genome phylogeny for 21 Drosophila species using predicted 2b-RAD fragments. PeerJ. 1. e226–e226. 50 indexed citations
4.
Berry, Michael W., et al.. (2013). PolyLens: software for map-based visualisation and analysis of genome-scale polymorphism data. International Journal of Computational Biology and Drug Design. 6(1/2). 93–93. 1 indexed citations
5.
Seetharam, Arun S. & Gary W. Stuart. (2012). Whole genome phylogenies for multiple Drosophila species. BMC Research Notes. 5(1). 670–670. 4 indexed citations
6.
Seetharam, Arun S., Yang Bai, & Gary W. Stuart. (2010). A survey of well conserved families of C2H2 zinc-finger genes in Daphnia. BMC Genomics. 11(1). 276–276. 22 indexed citations
7.
Stuart, Gary W., Peter Moffett, & R. F. Bozarth. (2005). A comprehensive open reading frame phylogenetic analysis of isometric positive strand ssRNA plant viruses. Archives of Virology. 151(6). 1159–1177. 13 indexed citations
8.
Dong, Jie & Gary W. Stuart. (2004). Transgene Manipulation in Zebrafish by Using Recombinases. Methods in cell biology. 77. 363–379. 37 indexed citations
9.
Alväger, T., et al.. (2003). DNA, proteins and compressibility. 5. 3573–3576.
10.
Nebert, Daniel W., Gary W. Stuart, Willy A. Solis, & Michael J. Carvan. (2002). Use of Reporter Genes and Vertebrate DNA Motifs in Transgenic Zebrafish as Sentinels for Assessing Aquatic Pollution. Environmental Health Perspectives. 110(1). a15–a15. 12 indexed citations
11.
Stuart, Gary W., et al.. (2001). Anti-lymphoma immunity: relative efficacy of peptide and recombinant DNA vaccine.. PubMed. 25(5). 470–8. 7 indexed citations
13.
Carvan, Michael J., Timothy P. Dalton, Gary W. Stuart, & Daniel W. Nebert. (2000). Transgenic Zebrafish as Sentinels for Aquatic Pollution. Annals of the New York Academy of Sciences. 919(1). 133–147. 79 indexed citations
14.
Nebert, Daniel W., Timothy P. Dalton, Gary W. Stuart, & Michael J. Carvan. (2000). “Gene‐Swap Knock‐in” Cassette in Mice to Study Allelic Differences in Human Genes. Annals of the New York Academy of Sciences. 919(1). 148–170. 45 indexed citations
15.
Gillaspie, A. G., Sharon E. Mitchell, Gary W. Stuart, & R. F. Bozarth. (1999). RT-PCR Method for Detecting Cowpea Mottle Carmovirus in Vigna Germ Plasm. Plant Disease. 83(7). 639–643. 6 indexed citations
16.
Sampath, Karuna & Gary W. Stuart. (1996). Developmental Expression of Class III and IV POU Domain Genes in the Zebrafish. Biochemical and Biophysical Research Communications. 219(2). 565–571. 20 indexed citations
17.
Kim, J. W., et al.. (1995). The nucleotide sequence of cowpea mottle virus and its assignment to the genus Carmovirus. Journal of General Virology. 76(11). 2841–2845. 25 indexed citations
18.
Stuart, Gary W., Zhu Zhu, Karuna Sampath, & Michael W. King. (1995). POU-domain sequences from the flatworm Dugesia tigrina. Gene. 161(2). 299–300. 5 indexed citations
19.
Searle, Peter F., Gary W. Stuart, & Richard D. Palmiter. (1987). Metal Regulatory Elements of the Mouse Metallothionein-I Gene. Proceedings of the Fourth International Symposium on Polarization Phenomena in Nuclear Reactions. 52. 407–414. 61 indexed citations
20.
Stuart, Gary W., et al.. (1984). A 12-base-pair DNA motif that is repeated several times in metallothionein gene promoters confers metal regulation to a heterologous gene.. Proceedings of the National Academy of Sciences. 81(23). 7318–7322. 360 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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