Gregory J. Hunt

509 total citations
10 papers, 320 citations indexed

About

Gregory J. Hunt is a scholar working on Molecular Biology, Computational Mechanics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Gregory J. Hunt has authored 10 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Computational Mechanics and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Gregory J. Hunt's work include Single-cell and spatial transcriptomics (3 papers), Gene expression and cancer classification (2 papers) and Plant and animal studies (2 papers). Gregory J. Hunt is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Gene expression and cancer classification (2 papers) and Plant and animal studies (2 papers). Gregory J. Hunt collaborates with scholars based in United States and Australia. Gregory J. Hunt's co-authors include Thomas E. Rinderer, Jeffrey W. Harris, Lilia I. de Guzman, Johann A. Gagnon-Bartsch, Melanie Bahlo, Saskia Freytag, Brian H. Smith, Susan Cobey, Sathees Chandra and Robin Hunt and has published in prestigious journals such as Bioinformatics, Measurement Science and Technology and Behavior Genetics.

In The Last Decade

Gregory J. Hunt

9 papers receiving 310 citations

Peers

Gregory J. Hunt

GENET

EEBS

IS

MB

CR

Ping Wen China

Martin Zwahlen Sweden

Silvie Fexová United Kingdom

Lívia Maria Rosatto Moda Brazil

Einat Cinnamon Israel

Che Chi United States

Yazmin L. Serrano Negron United States

Julie L. Hentze Denmark

Takahiro Konuma Japan

William J. Rowell United States

Ping Wen China

Gregory J. Hunt

238 ×1.3

GENET

234 ×1.3

EEBS

191 ×1.0

IS

31 ×0.4

MB

4 ×0.2

CR

Citations per year, relative to Gregory J. Hunt Gregory J. Hunt (= 1×) peers Ping Wen

Countries citing papers authored by Gregory J. Hunt

Since Specialization

Citations

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

Fields of papers citing papers by Gregory J. Hunt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory J. Hunt. 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 Gregory J. Hunt. The network helps show where Gregory J. Hunt may publish in the future.

Co-authorship network of co-authors of Gregory J. Hunt

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

All Works

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10 of 10 papers shown

1.

Hunt, Robin, et al.. (2023). Quantitative gas property measurements by filtered Rayleigh scattering: a review. Measurement Science and Technology. 34(9). 92001–92001. 7 indexed citations

2.

Hunt, Gregory J. & Johann A. Gagnon-Bartsch. (2023). A Review of Containerization for Interactive and Reproducible Analysis. 3(1).

3.

Hunt, Gregory J., Mark Dane, James E. Korkola, Laura M. Heiser, & Johann A. Gagnon-Bartsch. (2022). Systematic replication enables normalization of high-throughput imaging assays. Bioinformatics. 38(21). 4934–4940. 1 indexed citations

4.

Hunt, Gregory J. & Johann A. Gagnon-Bartsch. (2021). The role of scale in the estimation of cell-type proportions. The Annals of Applied Statistics. 15(1). 7 indexed citations

5.

Hunt, Gregory J. & Robin Hunt. (2021). Locating the Isolator Shock-Train Leading Edge with Limited Pressure Information. Journal of Propulsion and Power. 37(6). 876–892. 5 indexed citations

6.

Hunt, Gregory J., et al.. (2020). Fast approximations of spectral lineshapes to enable optimization of a filtered Rayleigh scattering experiment. Measurement Science and Technology. 31(9). 95203–95203. 9 indexed citations

7.

Hunt, Gregory J., Mark Dane, James E. Korkola, Laura M. Heiser, & Johann A. Gagnon-Bartsch. (2020). Automatic Transformation and Integration to Improve Visualization and Discovery of Latent Effects in Imaging Data. Journal of Computational and Graphical Statistics. 29(4). 929–941. 6 indexed citations

8.

Hunt, Gregory J., Saskia Freytag, Melanie Bahlo, & Johann A. Gagnon-Bartsch. (2018). dtangle: accurate and robust cell type deconvolution. Bioinformatics. 35(12). 2093–2099. 88 indexed citations

9.

Rinderer, Thomas E., Jeffrey W. Harris, Gregory J. Hunt, & Lilia I. de Guzman. (2010). Breeding for resistance toVarroa destructorin North America. Apidologie. 41(3). 409–424. 151 indexed citations

10.

Chandra, Sathees, Gregory J. Hunt, Susan Cobey, & Brian H. Smith. (2001). Quantitative Trait Loci Associated with Reversal Learning and Latent Inhibition in Honeybees (Apis mellifera). Behavior Genetics. 31(3). 275–285. 46 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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