K. Marshall

541 total citations
10 papers, 430 citations indexed

About

K. Marshall is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, K. Marshall has authored 10 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Ecology. Recurrent topics in K. Marshall's work include Genetic and phenotypic traits in livestock (3 papers), Molecular Biology Techniques and Applications (3 papers) and Identification and Quantification in Food (2 papers). K. Marshall is often cited by papers focused on Genetic and phenotypic traits in livestock (3 papers), Molecular Biology Techniques and Applications (3 papers) and Identification and Quantification in Food (2 papers). K. Marshall collaborates with scholars based in United States and Jamaica. K. Marshall's co-authors include Paul R. Cabe, James M. Sikela, Deborah H. Glueck, Loris McGavran, Young Kim, Jonathan R. Pollack, Rebecca Berry, Tina Hernandez‐Boussard, Anis Karimpour‐Fard and Lynne Meltesen and has published in prestigious journals such as PLoS Biology, Diabetologia and Genome biology.

In The Last Decade

K. Marshall

10 papers receiving 404 citations

Peers

K. Marshall

GENET

MB

PS

ECOLO

EEBS

Brandon R. Menzies Australia

María Beatriz Espinosa Argentina

Soňa Gregorová Czechia

Satoshi Ishishita Japan

Fiona Oliver United Kingdom

Maura Lane United States

David W. Hale United States

Tae-Young Choi South Korea

John F. Mulley United Kingdom

Will Nash United Kingdom

Brandon R. Menzies Australia

K. Marshall

127 ×0.5

GENET

144 ×0.6

MB

64 ×0.5

PS

64 ×1.1

ECOLO

35 ×1.1

EEBS

Citations per year, relative to K. Marshall K. Marshall (= 1×) peers Brandon R. Menzies

Countries citing papers authored by K. Marshall

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of K. Marshall

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Howell, Stephen H., K. Marshall, M. E. Reid, Norma McFarlane‐Anderson, & Colin A. McKenzie. (2017). A Cross-sectional Clinic-based Study Exploring whether Variants within Genes Coding for Enzymes of the Transmethylation and Trans-sulphuration Pathways Are Associated with Inter-individual Phenotypic Variation in Sickle Cell Anaemia in Jamaica. West Indian Medical Journal. 1 indexed citations

2.

Moghaddar, Nasir, K. Marshall, & J. H. J. van der Werf. (2006). Quantitative trait loci mapping for growth and wool traits in Australian Merino sheep.. RUNE (Research UNE). 5–10. 1 indexed citations

3.

Vaidyanathan, Pavanapuresan P., et al.. (2006). Alternative splicing of G6PC2, the gene coding for the islet-specific glucose-6-phosphatase catalytic subunit-related protein (IGRP), results in differential expression in human thymus and spleen compared with pancreas. Diabetologia. 49(5). 953–957. 35 indexed citations

4.

Kim, Young, K. Marshall, Lynne Meltesen, et al.. (2004). Lineage-Specific Gene Duplication and Loss in Human and Great Ape Evolution. PLoS Biology. 2(7). e207–e207. 224 indexed citations

5.

DeNise, S. K., et al.. (2003). Power of exclusion for parentage verification and probability of match for identity in American kennel club breeds using 17 canine microsatellite markers. Animal Genetics. 35(1). 14–17. 72 indexed citations

6.

Freund, Ronald K., Greg A. Gerhardt, K. Marshall, & Michael R. Palmer. (2003). Differences in norepinephrine clearance in cerebellar slices from low-alcohol-sensitive and high-alcohol-sensitive rats. Alcohol. 30(1). 9–18. 3 indexed citations

7.

Marshall, K., et al.. (2002). In silicodiscovery of gene-coding variants in murine quantitative trait loci using strain-specific genome sequence databases. Genome biology. 3(12). RESEARCH0078–RESEARCH0078. 25 indexed citations

8.

Cabe, Paul R. & K. Marshall. (2001). Microsatellite loci from the House Wren (Troglodytes aedon). Queensland's institutional digital repository (The University of Queensland). 1(100). 8–8. 33 indexed citations

9.

Cabe, Paul R. & K. Marshall. (2001). Microsatellite loci from the house wren ( Troglodytes aedon ). Molecular Ecology Notes. 1(3). 155–156. 28 indexed citations

10.

Marshall, K., et al.. (1999). Finding major gene effects in Australian meat sheep : feasibility study for a Texel dataset.. 8 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.

Explore authors with similar magnitude of impact