Ginger D. Shaw

1.2k total citations
17 papers, 164 citations indexed

About

Ginger D. Shaw is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Ginger D. Shaw has authored 17 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Ginger D. Shaw's work include Genetic Mapping and Diversity in Plants and Animals (6 papers), T-cell and B-cell Immunology (3 papers) and Single-cell and spatial transcriptomics (2 papers). Ginger D. Shaw is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (6 papers), T-cell and B-cell Immunology (3 papers) and Single-cell and spatial transcriptomics (2 papers). Ginger D. Shaw collaborates with scholars based in United States, Sweden and India. Ginger D. Shaw's co-authors include Fernando Pardo‐Manuel de Villena, Timothy A. Bell, Darla R. Miller, Pablo Hock, Martin T. Ferris, John Shorter, Gregory R. Keele, Ryan W. Feathers, Benjamin D. Philpot and Paul L. Maurizio and has published in prestigious journals such as Journal of Clinical Investigation, Journal of the American Statistical Association and Genetics.

In The Last Decade

Ginger D. Shaw

17 papers receiving 162 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ginger D. Shaw United States 8 67 62 25 14 12 17 164
Anwica Kashfeen United States 3 78 1.2× 54 0.9× 28 1.1× 10 0.7× 12 1.0× 6 152
John Sebastian Sigmon United States 3 78 1.2× 52 0.8× 28 1.1× 10 0.7× 12 1.0× 4 150
Vishal Sarsani United States 6 102 1.5× 107 1.7× 43 1.7× 20 1.4× 18 1.5× 13 256
Pablo Hock United States 8 108 1.6× 100 1.6× 56 2.2× 36 2.6× 36 3.0× 15 263
Rahul C. Bhoyar India 9 32 0.5× 35 0.6× 25 1.0× 23 1.6× 39 3.3× 37 176
С. А. Левицкий Russia 10 26 0.4× 208 3.4× 11 0.4× 14 1.0× 10 0.8× 32 267
Ornob Alam United States 5 33 0.5× 30 0.5× 24 1.0× 26 1.9× 12 1.0× 9 134
Alexey N. Spiridonov United States 6 55 0.8× 271 4.4× 13 0.5× 10 0.7× 7 0.6× 8 326
Rajendra Chauhan India 8 35 0.5× 131 2.1× 16 0.6× 33 2.4× 35 2.9× 12 222

Countries citing papers authored by Ginger D. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Ginger D. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ginger D. Shaw. 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 Ginger D. Shaw. The network helps show where Ginger D. Shaw may publish in the future.

Co-authorship network of co-authors of Ginger D. Shaw

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

All Works

17 of 17 papers shown
1.
Smeekens, Johanna M., Pablo Hock, Colton L. Linnertz, et al.. (2024). A mutation in Themis contributes to anaphylaxis severity following oral peanut challenge in CC027 mice. Journal of Allergy and Clinical Immunology. 154(2). 387–397. 1 indexed citations
2.
Graham, Jessica B., Sarah R. Leist, Alexandra Schäfer, et al.. (2024). Unique immune profiles in collaborative cross mice linked to survival and viral clearance upon infection. iScience. 27(3). 109103–109103. 3 indexed citations
3.
Anderson, Elizabeth J., Sanjay Sarkar, Sharon Taft-Benz, et al.. (2024). Host Genetic Variation Impacts SARS-CoV-2 Vaccination Response in the Diversity Outbred Mouse Population. Vaccines. 12(1). 103–103. 2 indexed citations
4.
Leist, Sarah R., Timothy A. Bell, Mark R. Zweigart, et al.. (2024). Sarbecovirus disease susceptibility is conserved across viral and host models. Virus Research. 346. 199399–199399. 3 indexed citations
5.
Arkatkar, Tanvi, Veronica Davé, Jessica B. Graham, et al.. (2023). Memory T cells possess an innate-like function in local protection from mucosal infection. Journal of Clinical Investigation. 133(10). 13 indexed citations
6.
Zhang, Tian, Gregory R. Keele, Matthew Vincent, et al.. (2023). Multi-omics analysis identifies drivers of protein phosphorylation. Genome biology. 24(1). 52–52. 9 indexed citations
7.
Plante, Kenneth S., Alan C. Whitmore, Colton L. Linnertz, et al.. (2022). Forward genetic screen of homeostatic antibody levels in the Collaborative Cross identifies MBD1 as a novel regulator of B cell homeostasis. PLoS Genetics. 18(12). e1010548–e1010548. 3 indexed citations
8.
Xenakis, James G., Christelle Douillet, Timothy A. Bell, et al.. (2022). An interaction of inorganic arsenic exposure with body weight and composition on type 2 diabetes indicators in Diversity Outbred mice. Mammalian Genome. 33(4). 575–589. 7 indexed citations
9.
Schoenrock, Sarah A., Ginger D. Shaw, Darla R. Miller, et al.. (2022). Cocaine-Induced Locomotor Activation Differs Across Inbred Mouse Substrains. Frontiers in Psychiatry. 13. 800245–800245. 4 indexed citations
10.
Keele, Gregory R., Tian Zhang, Matthew Vincent, et al.. (2021). Regulation of protein abundance in genetically diverse mouse populations. Cell Genomics. 1(1). 100003–100003. 24 indexed citations
11.
Giusti‐Rodríguez, Paola, James G. Xenakis, James J. Crowley, et al.. (2020). Antipsychotic Behavioral Phenotypes in the Mouse Collaborative Cross Recombinant Inbred Inter-Crosses (RIX). G3 Genes Genomes Genetics. 10(9). 3165–3177. 2 indexed citations
12.
Villena, Fernando Pardo‐Manuel de, Ande West, Paul L. Maurizio, et al.. (2020). Bayesian Diallel analysis reveals MX1-dependent and MX1-independent effects on response to influenza a virus in mice. UNC Libraries. 1 indexed citations
13.
Gu, Bin, John Shorter, Lucy H. Williams, et al.. (2020). Collaborative Cross mice reveal extreme epilepsy phenotypes and genetic loci for seizure susceptibility. Epilepsia. 61(9). 2010–2021. 17 indexed citations
14.
Shorter, John, Paul L. Maurizio, Timothy A. Bell, et al.. (2019). A Diallel of the Mouse Collaborative Cross Founders Reveals Strong Strain-Specific Maternal Effects on Litter Size. G3 Genes Genomes Genetics. 9(5). 1613–1622. 7 indexed citations
15.
Maurizio, Paul L., Martin T. Ferris, Gregory R. Keele, et al.. (2017). Bayesian Diallel Analysis Reveals Mx1 -Dependent and Mx1 -Independent Effects on Response to Influenza A Virus in Mice. G3 Genes Genomes Genetics. 8(2). 427–445. 15 indexed citations
16.
Shorter, John, Fanny Odet, David L. Aylor, et al.. (2017). Male Infertility Is Responsible for Nearly Half of the Extinction Observed in the Mouse Collaborative Cross. Genetics. 206(2). 557–572. 47 indexed citations
17.
Sun, Wei, Yufeng Liu, James J. Crowley, et al.. (2015). IsoDOT Detects Differential RNA-Isoform Expression/Usage With Respect to a Categorical or Continuous Covariate With High Sensitivity and Specificity. Journal of the American Statistical Association. 110(511). 975–986. 6 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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2026