Matthew N. Nelson

4.1k total citations
75 papers, 2.2k citations indexed

About

Matthew N. Nelson is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Matthew N. Nelson has authored 75 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Plant Science, 36 papers in Ecology, Evolution, Behavior and Systematics and 19 papers in Molecular Biology. Recurrent topics in Matthew N. Nelson's work include Genetic and Environmental Crop Studies (32 papers), Botanical Research and Chemistry (31 papers) and Legume Nitrogen Fixing Symbiosis (21 papers). Matthew N. Nelson is often cited by papers focused on Genetic and Environmental Crop Studies (32 papers), Botanical Research and Chemistry (31 papers) and Legume Nitrogen Fixing Symbiosis (21 papers). Matthew N. Nelson collaborates with scholars based in Australia, United Kingdom and United States. Matthew N. Nelson's co-authors include Wallace A. Cowling, Jon Clements, Jens Berger, Hans Lambers, W. Erskine, Kadambot H. M. Siddique, Lars G. Kamphuis, Karam B. Singh, James K. Hane and Bevan Buirchell and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Matthew N. Nelson

70 papers receiving 2.2k citations

Peers

Matthew N. Nelson
Nianjun Teng China
Gertrud Lohaus Germany
Tesfamichael H. Kebrom United States
Jan De Riek Belgium
Ivo Rieu Netherlands
Rie Nishiyama Japan
Jason Q. D. Goodger Australia
Claire Périlleux Belgium
Michael R. McKain United States
Rajib Roychowdhury India
Nianjun Teng China
Matthew N. Nelson
Citations per year, relative to Matthew N. Nelson Matthew N. Nelson (= 1×) peers Nianjun Teng

Countries citing papers authored by Matthew N. Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Matthew N. Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew N. Nelson. 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 Matthew N. Nelson. The network helps show where Matthew N. Nelson may publish in the future.

Co-authorship network of co-authors of Matthew N. Nelson

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

All Works

20 of 20 papers shown
1.
Kroc, Magdalena, Emanuela Cosentino, Matthew N. Nelson, et al.. (2025). The unexplored diversity of rough-seeded lupins provides rich genomic resources and insights into lupin evolution. Nature Communications. 16(1). 4358–4358.
2.
Hanif, Athar, et al.. (2025). Powertrain Components Aging Model Selection for Energy Efficient Vehicles: Selection Strategy and Challenges. SAE technical papers on CD-ROM/SAE technical paper series. 1.
3.
Mancinotti, Davide, Mohammed Saddik Motawia, Bárbara Hufnagel, et al.. (2023). The causal mutation leading to sweetness in modern white lupin cultivars. Science Advances. 9(31). eadg8866–eadg8866. 16 indexed citations
4.
Nelson, Matthew N., et al.. (2023). The search for commercial sweet white lupin (Lupinus albus L.) adaptive to Ethiopian growing condition seems not successful: what should be done?. Zeitschrift für Naturforschung C. 78(7-8). 317–325. 3 indexed citations
5.
Nelson, Matthew N., et al.. (2022). Opportunities and Challenges for Market Oriented Lupin (Lupinus spp.) Production in Ethiopia. SHILAP Revista de lepidopterología. 10(6). 1165–1173.
6.
Nelson, Matthew N., et al.. (2022). Independent APOE4 knock‐in mouse models display reduced brain APOE protein, altered neuroinflammation, and simplification of dendritic spines. Journal of Neurochemistry. 163(3). 247–259. 10 indexed citations
7.
Hufnagel, Bárbara, Alexandre Soriano, Fanchon Divol, et al.. (2021). Pangenome of white lupin provides insights into the diversity of the species. Plant Biotechnology Journal. 19(12). 2532–2543. 36 indexed citations
8.
Iqbal, Muhammad Munir, W. Erskine, Jens Berger, & Matthew N. Nelson. (2020). Phenotypic characterisation and linkage mapping of domestication syndrome traits in yellow lupin (Lupinus luteus L.). Theoretical and Applied Genetics. 133(10). 2975–2987. 15 indexed citations
9.
Chen, Sheng, Yiming Guo, Xavier Sirault, et al.. (2018). Non-destructive phenomic tools for the prediction of heat and drought tolerance at anthesis in Brassica species. Frontiers in Plant Science. 9. 2 indexed citations
10.
Mousavi‐Derazmahalleh, Mahsa, Bruno Nevado, Philipp E. Bayer, et al.. (2018). The western Mediterranean region provided the founder population of domesticated narrow-leafed lupin. Theoretical and Applied Genetics. 131(12). 2543–2554. 18 indexed citations
11.
Książkiewicz, Michał, Nelson Nazzicari, Huaan Yang, et al.. (2017). A high-density consensus linkage map of white lupin highlights synteny with narrow-leafed lupin and provides markers tagging key agronomic traits. Scientific Reports. 7(1). 15335–15335. 48 indexed citations
12.
Jost, Ricarda, et al.. (2016). Identifying Stable Reference Genes for qRT-PCR Normalisation in Gene Expression Studies of Narrow-Leafed Lupin (Lupinus angustifolius L.). PLoS ONE. 11(2). e0148300–e0148300. 24 indexed citations
13.
Chen, Yinglong, et al.. (2016). Root trait diversity, molecular marker diversity, and trait-marker associations in a core collection ofLupinus angustifolius. Journal of Experimental Botany. 67(12). 3683–3697. 16 indexed citations
14.
15.
Kroc, Magdalena, Grzegorz Koczyk, W. Święcicki, Andrzej Kilian, & Matthew N. Nelson. (2014). New evidence of ancestral polyploidy in the Genistoid legume Lupinus angustifolius L. (narrow-leafed lupin). Theoretical and Applied Genetics. 127(5). 1237–1249. 50 indexed citations
16.
Cannon, Steven B., Michael R. McKain, Alex Harkess, et al.. (2014). Multiple Polyploidy Events in the Early Radiation of Nodulating and Nonnodulating Legumes. Molecular Biology and Evolution. 32(1). 193–210. 162 indexed citations
17.
Berger, Jens, Bevan Buirchell, David J. Luckett, & Matthew N. Nelson. (2011). Domestication bottlenecks limit genetic diversity and constrain adaptation in narrow-leafed lupin (Lupinus angustifolius L.). Theoretical and Applied Genetics. 124(4). 637–652. 72 indexed citations
18.
Książkiewicz, Michał, Matthew N. Nelson, Frédéric Mahé, et al.. (2010). Assignment of 3 Genetic Linkage Groups to 3 Chromosomes of Narrow-Leafed Lupin. Journal of Heredity. 102(2). 228–236. 22 indexed citations
19.
Nelson, Matthew N., Jens Berger, & W. Erskine. (2010). Flowering time control in annual legumes: prospects in a changing global climate.. CABI Reviews. 1–14. 37 indexed citations
20.
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

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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