James Marshall

611 total citations
14 papers, 364 citations indexed

About

James Marshall is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Molecular Biology. According to data from OpenAlex, James Marshall has authored 14 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pediatrics, Perinatology and Child Health, 6 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in James Marshall's work include Prenatal Screening and Diagnostics (6 papers), CRISPR and Genetic Engineering (3 papers) and Virus-based gene therapy research (2 papers). James Marshall is often cited by papers focused on Prenatal Screening and Diagnostics (6 papers), CRISPR and Genetic Engineering (3 papers) and Virus-based gene therapy research (2 papers). James Marshall collaborates with scholars based in Australia, United Kingdom and United States. James Marshall's co-authors include Don Leigh, Steven J. McArthur, Robert P.S. Jansen, Alison Gee, Eric L. Johnson, Tsai‐Ching Hsu, Sen Pathak, J.M. Morris, John Gow and T. C. Hsü and has published in prestigious journals such as Nature Communications, Molecular and Cellular Biology and Human Reproduction.

In The Last Decade

James Marshall

14 papers receiving 319 citations

Peers

James Marshall
A. Michiels Belgium
Michael Freidine United States
S Sertyel Türkiye
S. SenGupta United Kingdom
Glenn Atkinson United Kingdom
D. Wells United Kingdom
Judy F.C. Chow Hong Kong
A. Michiels Belgium
James Marshall
Citations per year, relative to James Marshall James Marshall (= 1×) peers A. Michiels

Countries citing papers authored by James Marshall

Since Specialization
Citations

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

Fields of papers citing papers by James Marshall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James 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 James Marshall. The network helps show where James Marshall may publish in the future.

Co-authorship network of co-authors of James Marshall

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

All Works

14 of 14 papers shown
1.
Shabestary, Kiyan, et al.. (2024). Phenotypic heterogeneity follows a growth-viability tradeoff in response to amino acid identity. Nature Communications. 15(1). 6515–6515. 2 indexed citations
2.
Marshall, James, et al.. (2022). basicsynbio and the BASIC SEVA collection: software and vectors for an established DNA assembly method. PubMed. 7(1). ysac023–ysac023. 6 indexed citations
4.
Johnson, Eric L., et al.. (2016). A comparative outcomes analysis evaluating clinical effectiveness in two different human placental membrane products for wound management. Wound Repair and Regeneration. 25(1). 145–149. 22 indexed citations
5.
Marshall, James, et al.. (2015). AB094. Efficacy of combined preimplantation genetic diagnosis (PGD) and preimplantation genetic screening (PGS) cycles—early results. Annals of Translational Medicine. 3(2). 95–95. 1 indexed citations
6.
Marshall, James, et al.. (2011). The genetic screening of preimplantation embryos by comparative genomic hybridisation.. PubMed. 11 Suppl 3. 51–60. 14 indexed citations
7.
Marshall, James, et al.. (2008). Reporting paternity testing results when 2 exclusions are encountered. Forensic science international. Genetics supplement series. 1(1). 492–493. 6 indexed citations
8.
McArthur, Steven J., et al.. (2008). Blastocyst trophectoderm biopsy and preimplantation genetic diagnosis for familial monogenic disorders and chromosomal translocations. Prenatal Diagnosis. 28(5). 434–442. 82 indexed citations
9.
10.
McArthur, Steven J., et al.. (2005). Pregnancies and live births after trophectoderm biopsy and preimplantation genetic testing of human blastocysts. Fertility and Sterility. 84(6). 1628–1636. 181 indexed citations
11.
Nancarrow, C. D., et al.. (2003). Production of Transgenic Sheep. Humana Press eBooks. 18. 273–304. 1 indexed citations
12.
Shanahan, Catherine M., et al.. (1989). Regulation of Expression of a Sheep Metallothionein 1a-Sheep Growth Hormone Fusion Gene in Transgenic Mice. Molecular and Cellular Biology. 9(12). 5473–5479. 2 indexed citations
13.
Marshall, James, et al.. (1975). Chromosomes and DNA of <i>Mus</i>: the karyotypes of <i>M</i>. <i>fulvidiventris</i> and <i>M</i>. <i>dunni</i>. Cytogenetic and Genome Research. 14(2). 116–125. 20 indexed citations
14.
Dev, V.G., D.A. Miller, O. J. Miller, James Marshall, & T. C. Hsü. (1973). Quinacrine fluorescence of Mus cervicolor chromosomes. Bright centromeric heterochromatin. Experimental Cell Research. 79(2). 475–479. 12 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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