Ginger D. Shaw
Impact in
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- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genetic diversity and population structure
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
Papers in
- Genetics 8
- Genetic Mapping and Diversity in Plants and Animals 6
- Genetic and phenotypic traits in livestock 1
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- Single-cell and spatial transcriptomics 2
- Metabolism, Diabetes, and Cancer 1
- Co-authors
- Fernando Pardo‐Manuel de Villena (16 shared papers)Timothy A. Bell (11 shared papers)Darla R. Miller (9 shared papers)Pablo Hock (9 shared papers)John Shorter (3 shared papers)Martin T. Ferris (11 shared papers)Gregory R. Keele (4 shared papers)David L. Aylor (1 shared paper)
- Journals
- G3 Genes Genomes Genetics (3 papers)iScience (1 paper)Cell Genomics (1 paper)Frontiers in Psychiatry (1 paper)Virus Research (1 paper)
- Partner nations
- United StatesSwedenIndia
In The Last Decade
Ginger D. Shaw
17 papers receiving 162 citations
Peers
Comparison fields: 5 of 66
- Genetics 67
- Aging 4
- Immunology 25
- Developmental Biology 2
- Molecular Biology 62
Countries citing papers authored by Ginger D. Shaw
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
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-authors
The 25 scholars most cited alongside Ginger D. Shaw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 47 | |
| 2 | 2021 | 24 | |
| 3 | 2020 | 17 | |
| 4 | 2017 | 15 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 9 | |
| 7 | 2019 | 7 | |
| 8 | 2022 | 7 | |
| 9 | 2015 | 6 | |
| 10 | 2022 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2022 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2020 | 1 |
About Ginger D. Shaw
Ginger D. Shaw is a scholar working on Genetics, Molecular Biology, Immunology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 17 papers that have together received 164 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (6 papers), T-cell and B-cell Immunology (3 papers), Single-cell and spatial transcriptomics (2 papers), Metabolism, Diabetes, and Cancer (1 paper), Allergic Rhinitis and Sensitization (1 paper), Genetic and phenotypic traits in livestock (1 paper), Animal Virus Infections Studies (1 paper) and Autism Spectrum Disorder Research (1 paper). The work is most often cited by research in Genetics (67 citations), Aging (4 citations), Immunology (25 citations), Developmental Biology (2 citations) and Molecular Biology (62 citations). Ginger D. Shaw has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include Fernando Pardo‐Manuel de Villena, Timothy A. Bell, Darla R. Miller, Pablo Hock, John Shorter, Martin T. Ferris, Gregory R. Keele, David L. Aylor, João A. Paulo and Benjamin D. Philpot. Their work appears in journals such as G3 Genes Genomes Genetics, iScience, Cell Genomics, Frontiers in Psychiatry and Virus Research.
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.