David J. Fairbairn

2.0k total citations
23 papers, 1.2k citations indexed

About

David J. Fairbairn is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, David J. Fairbairn has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 12 papers in Molecular Biology and 4 papers in Biotechnology. Recurrent topics in David J. Fairbairn's work include Plant Stress Responses and Tolerance (4 papers), Plant nutrient uptake and metabolism (3 papers) and Lipid metabolism and biosynthesis (3 papers). David J. Fairbairn is often cited by papers focused on Plant Stress Responses and Tolerance (4 papers), Plant nutrient uptake and metabolism (3 papers) and Lipid metabolism and biosynthesis (3 papers). David J. Fairbairn collaborates with scholars based in Australia, United Kingdom and United States. David J. Fairbairn's co-authors include B. A. Law, José Ramón Botella, Denis J. Murphy, Weihong Liu, Daniel P. Schachtman, Mark L. Crowe, Richard Moyle, Julian I. Schroeder, Michael R. Sussman and Brendan P. Eckelman and has published in prestigious journals such as PLANT PHYSIOLOGY, FEBS Letters and The Plant Journal.

In The Last Decade

David J. Fairbairn

21 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Fairbairn Australia 15 805 546 129 108 72 23 1.2k
Henrik Næsted Denmark 14 1.3k 1.6× 821 1.5× 50 0.4× 128 1.2× 125 1.7× 18 1.7k
Renate Manteuffel Germany 24 1.2k 1.5× 916 1.7× 123 1.0× 271 2.5× 36 0.5× 83 1.7k
Luc Richard France 20 892 1.1× 704 1.3× 42 0.3× 31 0.3× 63 0.9× 28 1.2k
Manoj Majee India 25 1.8k 2.3× 950 1.7× 58 0.4× 82 0.8× 19 0.3× 55 2.1k
Jeffrey W. Gillikin United States 12 632 0.8× 464 0.8× 25 0.2× 151 1.4× 28 0.4× 14 940
Jason D. Gillman United States 21 1.1k 1.4× 359 0.7× 62 0.5× 30 0.3× 145 2.0× 46 1.3k
Thomas Herter Germany 11 697 0.9× 464 0.8× 30 0.2× 33 0.3× 20 0.3× 11 922
Minviluz G. Stacey United States 21 2.0k 2.5× 859 1.6× 24 0.2× 41 0.4× 85 1.2× 32 2.3k
Larry R. Beach United States 12 507 0.6× 693 1.3× 72 0.6× 125 1.2× 26 0.4× 12 1.1k
Annie Frelet‐Barrand France 13 447 0.6× 407 0.7× 53 0.4× 26 0.2× 42 0.6× 25 847

Countries citing papers authored by David J. Fairbairn

Since Specialization
Citations

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

Fields of papers citing papers by David J. Fairbairn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Fairbairn. 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 David J. Fairbairn. The network helps show where David J. Fairbairn may publish in the future.

Co-authorship network of co-authors of David J. Fairbairn

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Fairbairn. A scholar is included among the top collaborators of David J. Fairbairn 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 David J. Fairbairn. David J. Fairbairn 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.
Teppala, Srinivas, Paul Scuffham, Kim Edmunds, et al.. (2025). The cost-utility of targeted germline BRCA testing in localized prostate cancer followed by cascade testing first-degree relatives with pathogenic variants. Genetics in Medicine. 27(8). 101463–101463.
2.
Teppala, Srinivas, Paul Scuffham, Kim Edmunds, et al.. (2024). The Cost-Effectiveness of Germline BReast CAncer Gene Testing in Metastatic Prostate Cancer Followed by Cascade Testing of First-Degree Relatives of Mutation Carriers. Value in Health. 27(11). 1515–1527. 2 indexed citations
4.
Tuffaha, Haitham, Kim Edmunds, David J. Fairbairn, et al.. (2023). Guidelines for genetic testing in prostate cancer: a scoping review. Prostate Cancer and Prostatic Diseases. 27(4). 594–603. 20 indexed citations
5.
Fairbairn, David J., et al.. (2015). Licensing Biotech Intellectual Property in University-Industry Partnerships. Cold Spring Harbor Perspectives in Medicine. 5(3). a021014–a021014. 11 indexed citations
6.
Fairbairn, David J., et al.. (2011). A novel mutation of the erythropoietin receptor gene associated with primary familial and congenital polycythaemia. International Journal of Hematology. 93(4). 542–544. 5 indexed citations
7.
Lane, Steven, et al.. (2008). Leukaemia cutis in atypical chronic myeloid leukaemia with a t(9;22) (p24;q11.2) leading to BCR‐JAK2 fusion. British Journal of Haematology. 142(4). 503–503. 14 indexed citations
8.
Fairbairn, David J., et al.. (2007). Host-delivered RNAi: an effective strategy to silence genes in plant parasitic nematodes. Planta. 226(6). 1525–1533. 120 indexed citations
9.
Botella, José Ramón & David J. Fairbairn. (2005). PRESENT AND FUTURE POTENTIAL OF PINEAPPLE BIOTECHNOLOGY. Acta Horticulturae. 23–28. 16 indexed citations
10.
Moyle, Richard, et al.. (2005). PineappleDB: An online pineapple bioinformatics resource. BMC Plant Biology. 5(1). 21–21. 25 indexed citations
11.
Moyle, Richard, et al.. (2004). Developing pineapple fruit has a small transcriptome dominated by metallothionein. Journal of Experimental Botany. 56(409). 101–112. 105 indexed citations
12.
Mäser, Pascal, Brendan P. Eckelman, Rama Vaidyanathan, et al.. (2002). Altered shoot/root Na + distribution and bifurcating salt sensitivity in Arabidopsis by genetic disruption of the Na + transporter AtHKT1. FEBS Letters. 531(2). 157–161. 309 indexed citations
13.
Liu, Weihong, David J. Fairbairn, Rob Reid, & Daniel P. Schachtman. (2001). Characterization of Two HKT1 Homologues from Eucalyptus camaldulensis That Display Intrinsic Osmosensing Capability. PLANT PHYSIOLOGY. 127(1). 283–294. 71 indexed citations
14.
Poghosyan, Zaruhi, et al.. (2000). Differential Regulation of Plastidial and Cytosolic Isoforms of Peptide Methionine Sulfoxide Reductase in Arabidopsis. PLANT PHYSIOLOGY. 123(1). 255–264. 74 indexed citations
15.
Fairbairn, David J., et al.. (2000). Characterisation of two distinct HKT1-like potassium transporters from Eucalyptus camaldulensis. Plant Molecular Biology. 43(4). 515–525. 92 indexed citations
16.
Piffanelli, Pietro, et al.. (1996). Identification of a peptide methionine sulphoxide reductase gene in an oleosin promoter from Brassica napus. The Plant Journal. 10(2). 235–242. 37 indexed citations
17.
Fairbairn, David J., Kim C. Goodbody, & Clive Lloyd. (1994). Simultaneous labelling of microtubules and fibrillar bundles in tobacco BY-2 cells by the anti-intermediate filament antibody, ME 101. PROTOPLASMA. 182(3-4). 160–169. 13 indexed citations
18.
Slocombe, Stephen P., Pietro Piffanelli, David J. Fairbairn, et al.. (1994). Temporal and Tissue-Specific Regulation of a Brassica napus Stearoyl-Acyl Carrier Protein Desaturase Gene. PLANT PHYSIOLOGY. 104(4). 1167–1176. 56 indexed citations
19.
Murphy, Denis J., Donald E. Richards, Joël Capdevielle, et al.. (1994). Manipulation of seed oil content to produce industrial crops. Industrial Crops and Products. 3(1-2). 17–27. 20 indexed citations
20.
Fairbairn, David J. & B. A. Law. (1986). Proteinases of psychrotrophic bacteria: their production, properties, effects and control. Journal of Dairy Research. 53(1). 139–177. 158 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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