Keith Sheppard
Impact in
-
- Genetics, Aging, and Longevity in Model Organisms
-
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genetic diversity and population structure
Papers in
-
- Genomics and Phylogenetic Studies 1
- Biomedical Text Mining and Ontologies 1
- Retinal Development and Disorders 1
-
- Autism Spectrum Disorder Research 1
- Co-authors
- Gary A. Churchill (3 shared papers)Ron Korstanje (2 shared papers)Keith DiPetrillo (1 shared paper)Fernando Pardo‐Manuel de Villena (1 shared paper)R. V. Smith (1 shared paper)John P. Didion (1 shared paper)Hyuna Yang (1 shared paper)Leonard McMillan (1 shared paper)
- Journals
- Western American literature (1 paper)BMC Genomics (1 paper)Cell Reports (1 paper)PLoS Computational Biology (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Keith Sheppard
6 papers receiving 195 citations
Peers
Comparison fields: 5 of 68
- Aging 11
- Genetics 70
- Developmental Biology 4
- Molecular Biology 90
- Biological Psychiatry 3
Countries citing papers authored by Keith Sheppard
This map shows the geographic impact of Keith Sheppard'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 Keith Sheppard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Sheppard more than expected).
Fields of papers citing papers by Keith Sheppard
This network shows the impact of papers produced by Keith Sheppard. 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 Keith Sheppard. The network helps show where Keith Sheppard may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith Sheppard, 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 | 2018 | 54 | |
| 2 | 2012 | 50 | |
| 3 | 2022 | 37 | |
| 4 | 2009 | 29 | |
| 5 | 2016 | 15 | |
| 6 | 2016 | 11 | |
| 7 | 1974 | 0 |
About Keith Sheppard
Keith Sheppard is a scholar working on Molecular Biology, Cognitive Neuroscience, Cell Biology, Genetics and Biophysics, having authored 7 papers that have together received 196 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (1 paper), Zebrafish Biomedical Research Applications (1 paper), Genomics and Phylogenetic Studies (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper), Biomedical Text Mining and Ontologies (1 paper), Genetic and phenotypic traits in livestock (1 paper) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Aging (11 citations), Genetics (70 citations), Developmental Biology (4 citations), Molecular Biology (90 citations) and Biological Psychiatry (3 citations). Keith Sheppard has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Gary A. Churchill, Ron Korstanje, Keith DiPetrillo, Fernando Pardo‐Manuel de Villena, R. V. Smith, John P. Didion, Hyuna Yang, Leonard McMillan, Narayanan Raghupathy and Kwangbom Choi. Their work appears in journals such as Western American literature, BMC Genomics, Cell Reports, PLoS Computational Biology and Bioinformatics.
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.