John Nixon

1.4k total citations
10 papers, 566 citations indexed

About

John Nixon is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, John Nixon has authored 10 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Plant Science and 4 papers in Genetics. Recurrent topics in John Nixon's work include Genetic Mapping and Diversity in Plants and Animals (3 papers), Chromosomal and Genetic Variations (2 papers) and Lipid metabolism and biosynthesis (2 papers). John Nixon is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (3 papers), Chromosomal and Genetic Variations (2 papers) and Lipid metabolism and biosynthesis (2 papers). John Nixon collaborates with scholars based in Canada, United Kingdom and Australia. John Nixon's co-authors include Wayne E. Clarke, Stephen J. Robinson, Andrew Sharpe, Sateesh Kagale, Isobel A. P. Parkin, Terry Huebert, Matthew G. Links, Venkatesh Bollina, Charles Spillane and ChuShin Koh and has published in prestigious journals such as Nature Communications, The Plant Cell and The Plant Journal.

In The Last Decade

John Nixon

9 papers receiving 556 citations

Peers

John Nixon

PS

MB

BIOCH

GENET

EEBS

K. Yamada Japan

Charlotte Roth Germany

Alan M. Magee Ireland

Daniela Vlad United Kingdom

Stefano Torti Germany

Jiewen Xing China

Fanli Meng China

Xiu-Duo Fan China

Zhenling Lv China

Yawei Gao China

K. Yamada Japan

John Nixon

166 ×0.4

PS

185 ×0.5

MB

66 ×0.3

BIOCH

96 ×0.8

GENET

37 ×0.6

EEBS

Citations per year, relative to John Nixon John Nixon (= 1×) peers K. Yamada

Countries citing papers authored by John Nixon

Since Specialization

Citations

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

Fields of papers citing papers by John Nixon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Nixon

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

All Works

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10 of 10 papers shown

1.

Kagale, Sateesh, John Nixon, Yogendra Khedikar, et al.. (2016). The developmental transcriptome atlas of the biofuel crop Camelina sativa. The Plant Journal. 88(5). 879–894. 59 indexed citations

2.

Kagale, Sateesh, ChuShin Koh, John Nixon, et al.. (2014). The emerging biofuel crop Camelina sativa retains a highly undifferentiated hexaploid genome structure. Nature Communications. 5(1). 3706–3706. 286 indexed citations

3.

Kagale, Sateesh, Stephen J. Robinson, John Nixon, et al.. (2014). Polyploid Evolution of the Brassicaceae during the Cenozoic Era . The Plant Cell. 26(7). 2777–2791. 145 indexed citations

4.

Nixon, John. (2012). Investigations into refinements of Storey’s method of multiple hypothesis testing minimising the FDR, and its application to test binomial data. Computational Statistics & Data Analysis. 56(12). 4381–4398.

5.

Nixon, John. (2006). Testing for segregation distortion in genetic scoring data from backcross or doubled haploid populations. Heredity. 96(4). 290–297. 7 indexed citations

6.

Nelson, Matthew N., John Nixon, & Derek J. Lydiate. (2005). Genome-wide analysis of the frequency and distribution of crossovers at male and female meiosis in Sinapis alba L. (white mustard). Theoretical and Applied Genetics. 111(1). 31–43. 12 indexed citations

7.

Nixon, John, et al.. (2002). Service provision of complex mutation analysis: a technical and economic appraisal using dystrophin point mutation analysis as an example. Clinical Genetics. 62(1). 29–38. 1 indexed citations

8.

Nixon, John, Michael Oldridge, Andrew O.M. Wilkie, & Kim Smith. (1997). Interstitial deletion of 2q associated with craniosynostosis, ocular coloboma, and limb abnormalities: Cytogenetic and molecular investigation. American Journal of Medical Genetics. 70(3). 324–327. 35 indexed citations

9.

Nixon, John, Michael Oldridge, Andrew O.M. Wilkie, & Kim Connelly Smith. (1997). Interstitial deletion of 2q associated with craniosynostosis, ocular coloboma, and limb abnormalities: Cytogenetic and molecular investigation. American Journal of Medical Genetics. 70(3). 324–327. 7 indexed citations

10.

Kelly, Alison, et al.. (1997). Indistinguishable patterns of recombination resulting from male and female meioses inBrassica napus(oilseed rape). Genome. 40(1). 49–56. 14 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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