D.A.J. McDavid

1.3k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

D.A.J. McDavid is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, D.A.J. McDavid has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 8 papers in Molecular Biology and 2 papers in Food Science. Recurrent topics in D.A.J. McDavid's work include Horticultural and Viticultural Research (6 papers), Plant Gene Expression Analysis (5 papers) and Growth and nutrition in plants (3 papers). D.A.J. McDavid is often cited by papers focused on Horticultural and Viticultural Research (6 papers), Plant Gene Expression Analysis (5 papers) and Growth and nutrition in plants (3 papers). D.A.J. McDavid collaborates with scholars based in Australia, Italy and Iran. D.A.J. McDavid's co-authors include Simon P. Robinson, Jochen Bogs, Amanda R. Walker, Mark R. Thomas, Elizabeth Lee, Ali Ebadi, I.J. Bennett, Giovanni Battista Tornielli, J. McComb and Sarah M. A. Moss and has published in prestigious journals such as PLANT PHYSIOLOGY, The Plant Journal and Australasian Journal of Paramedicine.

In The Last Decade

D.A.J. McDavid

9 papers receiving 984 citations

Hit Papers

White grapes arose through the mutation of two similar an... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D.A.J. McDavid Australia 7 829 737 381 261 48 9 1.0k
Erika Cavallini Italy 11 1.1k 1.3× 886 1.2× 296 0.8× 287 1.1× 94 2.0× 12 1.3k
Akifumi Azuma Japan 16 1.0k 1.2× 1.1k 1.5× 536 1.4× 279 1.1× 35 0.7× 41 1.4k
Jérémy Pillet United States 8 663 0.8× 670 0.9× 184 0.5× 181 0.7× 28 0.6× 12 905
Catherine Tesnière France 20 506 0.6× 648 0.9× 511 1.3× 71 0.3× 62 1.3× 44 929
Mikio Shiraishi Japan 14 423 0.5× 653 0.9× 384 1.0× 134 0.5× 21 0.4× 45 758
Camila Gomez France 6 702 0.8× 605 0.8× 233 0.6× 172 0.7× 49 1.0× 6 892
Nobuhito Mitani Japan 18 592 0.7× 833 1.1× 417 1.1× 154 0.6× 19 0.4× 58 1.0k
François Barrieu France 10 763 0.9× 680 0.9× 186 0.5× 158 0.6× 104 2.2× 13 998
Dan Jacobson South Africa 17 328 0.4× 478 0.6× 432 1.1× 105 0.4× 52 1.1× 24 730
Giulia Malacarne Italy 17 385 0.5× 724 1.0× 330 0.9× 60 0.2× 42 0.9× 34 887

Countries citing papers authored by D.A.J. McDavid

Since Specialization
Citations

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

Fields of papers citing papers by D.A.J. McDavid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.A.J. McDavid. 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 D.A.J. McDavid. The network helps show where D.A.J. McDavid may publish in the future.

Co-authorship network of co-authors of D.A.J. McDavid

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

All Works

9 of 9 papers shown
1.
Böttcher, Christine, et al.. (2025). Efficient DNA‐Free Protoplast Gene Editing of Elite Winegrape Cultivars for the Generation of Clones With Reduced Downy Mildew Susceptibility. Australian Journal of Grape and Wine Research. 2025(1). 1 indexed citations
2.
Robinson, Simon P., et al.. (2020). Transgenic grapevines with decreased expression of tannin synthesis genes have altered grape and wine flavonoid composition. Australian Journal of Grape and Wine Research. 27(1). 106–117. 8 indexed citations
3.
Robinson, Simon P., Jim Speirs, D.A.J. McDavid, et al.. (2019). Grape and wine flavonoid composition in transgenic grapevines with altered expression of flavonoid hydroxylase genes. Australian Journal of Grape and Wine Research. 25(3). 293–306. 16 indexed citations
4.
Cavallini, Erika, Yong Jia, Sarah M. A. Moss, et al.. (2015). A grapevine anthocyanin acyltransferase, transcriptionally regulated by VvMYBA, can produce most acylated anthocyanins present in grape skins. PLANT PHYSIOLOGY. 169(3). pp.01255.2015–pp.01255.2015. 141 indexed citations
5.
Walker, Amanda R., Elizabeth Lee, Jochen Bogs, et al.. (2007). White grapes arose through the mutation of two similar and adjacent regulatory genes. The Plant Journal. 49(5). 772–785. 548 indexed citations breakdown →
6.
Bogs, Jochen, Ali Ebadi, D.A.J. McDavid, & Simon P. Robinson. (2005). Identification of the Flavonoid Hydroxylases from Grapevine and Their Regulation during Fruit Development. PLANT PHYSIOLOGY. 140(1). 279–291. 237 indexed citations
7.
Bennett, I.J., D.A.J. McDavid, & J.A. McComb. (2003). The Influence of Ammonium Nitrate, pH and Indole Butyric Acid on Root Induction and Survival in Soil of Micropropagated Eucalyptus globulus. Australasian Journal of Paramedicine. 46(3). 355–360. 34 indexed citations
8.
Bennett, I.J., et al.. (1994). Alternating Cytokinins in Multiplication Media Stimulates in Vitro Shoot Growth and Rooting of Eucalyptus globulus Labill. Annals of Botany. 74(1). 53–58. 46 indexed citations
9.
McComb, J., et al.. (1992). Effect of cytokinins on multiplication and rooting of Eucalyptus globulus and other Eucalyptus species. 2 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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