Alan J. Robertson

21.5k total citations · 1 hit paper
11 papers, 863 citations indexed

About

Alan J. Robertson is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Alan J. Robertson has authored 11 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 5 papers in Cancer Research and 4 papers in Molecular Biology. Recurrent topics in Alan J. Robertson's work include Genomics and Rare Diseases (4 papers), Cancer Genomics and Diagnostics (4 papers) and Genomic variations and chromosomal abnormalities (3 papers). Alan J. Robertson is often cited by papers focused on Genomics and Rare Diseases (4 papers), Cancer Genomics and Diagnostics (4 papers) and Genomic variations and chromosomal abnormalities (3 papers). Alan J. Robertson collaborates with scholars based in Australia, United States and United Kingdom. Alan J. Robertson's co-authors include Clarence Lee, Anita L Steptoe, Stephen J. Bruce, Graeme Bethel, Gabriel Kolle, Swati Ranade, Kevin McKernan, Shivangi Wani, Sean M. Grimmond and Geoffrey J. Faulkner and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Nature Methods.

In The Last Decade

Alan J. Robertson

11 papers receiving 827 citations

Hit Papers

Stem cell transcriptome profiling via massive-scale mRNA ... 2008 2026 2014 2020 2008 250 500 750

Peers

Alan J. Robertson
Runnan Qi China
Jiuwei Lu United States
Wenjia Qu Australia
John Dresios United States
Alan J. Robertson
Citations per year, relative to Alan J. Robertson Alan J. Robertson (= 1×) peers Victoria Portnoy

Countries citing papers authored by Alan J. Robertson

Since Specialization
Citations

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

Fields of papers citing papers by Alan J. Robertson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan J. Robertson

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

All Works

11 of 11 papers shown
1.
Best, Stephanie, C. Richards, Michael C. Quinn, et al.. (2024). Reanalysis of genomic data in rare disease: current practice and attitudes among Australian clinical and laboratory genetics services. European Journal of Human Genetics. 32(11). 1428–1435. 2 indexed citations
2.
Robertson, Alan J., Andrew J. Mallett, Zornitza Stark, & Clair Sullivan. (2024). It Is in Our DNA: Bringing Electronic Health Records and Genomic Data Together for Precision Medicine. SHILAP Revista de lepidopterología. 5. e55632–e55632. 7 indexed citations
3.
Robertson, Alan J., et al.. (2023). Evolution of virtual gene panels over time and implications for genomic data re-analysis. SHILAP Revista de lepidopterología. 1(1). 100820–100820. 6 indexed citations
4.
Ganesamoorthy, Devika, Alan J. Robertson, Wenhan Chen, et al.. (2022). Whole genome deep sequencing analysis of cell-free DNA in samples with low tumour content. BMC Cancer. 22(1). 85–85. 18 indexed citations
5.
Robertson, Alan J., Natalie B. Tan, Amanda B. Spurdle, et al.. (2022). Re-analysis of genomic data: An overview of the mechanisms and complexities of clinical adoption. Genetics in Medicine. 24(4). 798–810. 25 indexed citations
6.
Chen, Wenhan, Alan J. Robertson, Devika Ganesamoorthy, & Lachlan Coin. (2016). sCNAphase: using haplotype resolved read depth to genotype somatic copy number alterations from low cellularity aneuploid tumors. Nucleic Acids Research. 45(5). e34–e34. 4 indexed citations
7.
Robertson, Alan J., et al.. (2011). An improved method for undertaking limiting dilution assays for in vitro cloning of Plasmodium falciparum parasites. Malaria Journal. 10(1). 95–95. 12 indexed citations
8.
Cloonan, Nicole, Alistair R. R. Forrest, Gabriel Kolle, et al.. (2008). Stem cell transcriptome profiling via massive-scale mRNA sequencing. Nature Methods. 5(7). 613–619. 756 indexed citations breakdown →
9.
Robertson, Alan J., et al.. (1965). Reaction of molten Al and of Al-20 wt. % U with water vapour. Corrosion Science. 5(6). 425–447. 4 indexed citations
10.
Robertson, Alan J., et al.. (1961). An experimental survey of rust preventives in water I. Methods of testing. Journal of Applied Chemistry. 11(7). 246–250. 13 indexed citations
11.
Robertson, Alan J., et al.. (1961). An experimental survey of rust preventives in water II. The screening of organic inhibitors. Journal of Applied Chemistry. 11(7). 251–265. 16 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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