K. Marshall
Impact in
- Genetics top 10%
- Genetic diversity and population structure
- Genomic variations and chromosomal abnormalities
- Genetic and phenotypic traits in livestock
- Human-Animal Interaction Studies
Papers in
-
- Molecular Biology Techniques and Applications 3
- Identification and Quantification in Food 2
- Metabolism, Diabetes, and Cancer 1
- Genetics 6
- Genetic and phenotypic traits in livestock 3
- Genetic Mapping and Diversity in Plants and Animals 2
- Hemoglobinopathies and Related Disorders 1
- Co-authors
- Paul R. Cabe (2 shared papers)James M. Sikela (2 shared papers)Young Kim (1 shared paper)Tina Hernandez‐Boussard (1 shared paper)Loris McGavran (1 shared paper)Lynne Meltesen (1 shared paper)Rebecca Berry (1 shared paper)Jonathan R. Pollack (1 shared paper)
- Journals
- Animal Genetics (1 paper)PLoS Biology (1 paper)Diabetologia (1 paper)Alcohol (1 paper)Genome biology (1 paper)
- Partner nations
- United StatesJamaica
In The Last Decade
K. Marshall
10 papers receiving 404 citations
Peers
Comparison fields: 5 of 72
- Genetics 278
- Developmental Biology 8
- Molecular Biology 247
- Plant Science 125
- Ecology 59
Countries citing papers authored by K. Marshall
This map shows the geographic impact of K. Marshall'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 K. Marshall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Marshall more than expected).
Fields of papers citing papers by K. Marshall
This network shows the impact of papers produced by K. Marshall. 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 K. Marshall. The network helps show where K. Marshall may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Marshall, 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 | 2004 | 224 | |
| 2 | 2003 | 72 | |
| 3 | 2006 | 35 | |
| 4 | Microsatellite loci from the House Wren (Troglodytes aedon) | 2001 | 33 |
| 5 | 2001 | 28 | |
| 6 | 2002 | 25 | |
| 7 | Finding major gene effects in Australian meat sheep : feasibility study for a Texel dataset. | 1999 | 8 |
| 8 | 2003 | 3 | |
| 9 | Quantitative trait loci mapping for growth and wool traits in Australian Merino sheep. | 2006 | 1 |
| 10 | 2017 | 1 |
About K. Marshall
K. Marshall is a scholar working on Molecular Biology, Genetics, Ecology, Surgery and Genetics, having authored 10 papers that have together received 430 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (3 papers), Molecular Biology Techniques and Applications (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Environmental DNA in Biodiversity Studies (2 papers), Identification and Quantification in Food (2 papers), Pancreatic function and diabetes (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Genetics (278 citations), Developmental Biology (8 citations), Molecular Biology (247 citations), Plant Science (125 citations) and Ecology (59 citations). K. Marshall has collaborated with scholars based in United States and Jamaica. Frequent co-authors include Paul R. Cabe, James M. Sikela, Young Kim, Tina Hernandez‐Boussard, Loris McGavran, Lynne Meltesen, Rebecca Berry, Jonathan R. Pollack, Deborah H. Glueck and Anis Karimpour‐Fard. Their work appears in journals such as Animal Genetics, PLoS Biology, Diabetologia, Alcohol and Genome biology.
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.