Annette Lasham

1.9k total citations
37 papers, 1.5k citations indexed

About

Annette Lasham is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Annette Lasham has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 11 papers in Oncology and 11 papers in Cancer Research. Recurrent topics in Annette Lasham's work include RNA Research and Splicing (13 papers), Cancer-related Molecular Pathways (7 papers) and Molecular Biology Techniques and Applications (7 papers). Annette Lasham is often cited by papers focused on RNA Research and Splicing (13 papers), Cancer-related Molecular Pathways (7 papers) and Molecular Biology Techniques and Applications (7 papers). Annette Lasham collaborates with scholars based in New Zealand, Australia and United Kingdom. Annette Lasham's co-authors include Cristin G. Print, Antony W. Braithwaite, Andrew N. Shelling, Mark G. Darlison, Adele G. Woolley, Alan N. Bateson, Raida Al‐Kassas, Sandra E. Dunn, James Watson and Sunali Mehta and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Annette Lasham

37 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annette Lasham New Zealand 20 1.0k 298 282 174 140 37 1.5k
Odile Gayet France 22 849 0.8× 341 1.1× 301 1.1× 263 1.5× 100 0.7× 44 1.5k
Xiaojing Xu China 22 572 0.6× 428 1.4× 282 1.0× 96 0.6× 130 0.9× 76 1.3k
Fabio Cerignoli United States 22 1.1k 1.1× 293 1.0× 231 0.8× 156 0.9× 52 0.4× 30 1.6k
Xiaofeng Zhao China 16 750 0.7× 208 0.7× 317 1.1× 89 0.5× 77 0.6× 46 1.4k
Mara Brancaccio Italy 28 1.7k 1.7× 265 0.9× 210 0.7× 115 0.7× 85 0.6× 71 2.7k
Vicente A. Torres Chile 25 1.4k 1.4× 241 0.8× 325 1.2× 66 0.4× 101 0.7× 61 2.2k
Randall P. French United States 18 788 0.8× 249 0.8× 129 0.5× 133 0.8× 104 0.7× 25 1.4k
Hao Ding Canada 21 1.5k 1.4× 233 0.8× 243 0.9× 112 0.6× 78 0.6× 40 2.0k
Wendy Westbroek United States 29 1.3k 1.2× 276 0.9× 339 1.2× 179 1.0× 114 0.8× 57 3.0k
Jakob Weissenberger Germany 19 732 0.7× 475 1.6× 286 1.0× 78 0.4× 79 0.6× 25 1.5k

Countries citing papers authored by Annette Lasham

Since Specialization
Citations

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

Fields of papers citing papers by Annette Lasham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annette Lasham

This figure shows the co-authorship network connecting the top 25 collaborators of Annette Lasham. A scholar is included among the top collaborators of Annette Lasham 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 Annette Lasham. Annette Lasham 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.
Lasham, Annette, et al.. (2024). Analysis of HER2-Low Breast Cancer in Aotearoa New Zealand: A Nationwide Retrospective Cohort Study. Cancers. 16(18). 3204–3204. 1 indexed citations
2.
Delahunt, Brett, Annette Lasham, Kunyu Li, et al.. (2024). Combining TP53 mutation and isoform has the potential to improve clinical practice. Pathology. 56(4). 473–483. 2 indexed citations
3.
Zhou, Yan, Dehua Yang, Gordon W. Rewcastle, et al.. (2019). Orthogonal assays for the identification of inhibitors of the single-stranded nucleic acid binding protein YB-1. Acta Pharmaceutica Sinica B. 9(5). 997–1007. 6 indexed citations
4.
Lasham, Annette, Sandra Fitzgerald, Nicholas Knowlton, et al.. (2019). A Predictor of Early Disease Recurrence in Patients With Breast Cancer Using a Cell-free RNA and Protein Liquid Biopsy. Clinical Breast Cancer. 20(2). 108–116. 15 indexed citations
5.
Muthukaruppan, Anita, Annette Lasham, Cherie Blenkiron, et al.. (2017). Gene expression profiling of breast tumours from New Zealand patients.. PubMed. 130(1464). 40–56. 2 indexed citations
6.
Lasham, Annette, et al.. (2017). Development of biodegradable PLGA nanoparticles surface engineered with hyaluronic acid for targeted delivery of paclitaxel to triple negative breast cancer cells. Materials Science and Engineering C. 76. 593–600. 86 indexed citations
7.
Mehta, Sunali, Peter Tsai, Annette Lasham, et al.. (2016). A Study of TP53 RNA Splicing Illustrates Pitfalls of RNA-seq Methodology. Cancer Research. 76(24). 7151–7159. 28 indexed citations
8.
Muthukaruppan, Anita, Annette Lasham, Kathryn J. Woad, et al.. (2016). Multimodal Assessment of Estrogen Receptor mRNA Profiles to Quantify Estrogen Pathway Activity in Breast Tumors. Clinical Breast Cancer. 17(2). 139–153. 4 indexed citations
9.
Lasham, Annette, et al.. (2015). Nanoparticle therapeutics: Technologies and methods for overcoming cancer. European Journal of Pharmaceutics and Biopharmaceutics. 97(Pt A). 140–151. 66 indexed citations
10.
Tharkar, Priyanka, et al.. (2014). Nanoparticulate carriers: an emerging tool for breast cancer therapy. Journal of drug targeting. 23(2). 97–108. 20 indexed citations
11.
Blenkiron, Cherie, Daniel Hurley, Sandra Fitzgerald, Cristin G. Print, & Annette Lasham. (2013). Links between the Oncoprotein YB-1 and Small Non-Coding RNAs in Breast Cancer. PLoS ONE. 8(11). e80171–e80171. 34 indexed citations
12.
Woolley, Adele G., Anna Wiles, Noelyn Hung, et al.. (2011). Prognostic Association of YB-1 Expression in Breast Cancers: A Matter of Antibody. PLoS ONE. 6(6). e20603–e20603. 29 indexed citations
13.
Coppieters, Natacha, et al.. (2011). The importance of RT-qPCR primer design for the detection of siRNA-mediated mRNA silencing. BMC Research Notes. 4(1). 148–148. 12 indexed citations
14.
Lasham, Annette, et al.. (2009). A rapid and sensitive method to detect siRNA-mediated mRNA cleavage in vivo using 5′ RACE and a molecular beacon probe. Nucleic Acids Research. 38(3). e19–e19. 19 indexed citations
15.
Homer, Craig R., Deborah A. Knight, Philip W. Sheard, et al.. (2005). Y-box factor YB1 controls p53 apoptotic function. Oncogene. 24(56). 8314–8325. 81 indexed citations
16.
17.
Lasham, Annette & Mark G. Darlison. (1993). Direct sequencing of lambda DNA from crude lysates using an improved linear amplification technique. Molecular and Cellular Probes. 7(1). 67–73. 7 indexed citations
18.
Harvey, Victoria L., et al.. (1992). GENES FOR THE GABA(A) RECEPTOR SUBUNIT TYPES AND THEIR EXPRESSION. UCL Discovery (University College London). 2 indexed citations
19.
Bateson, Alan N., Annette Lasham, & Mark G. Darlison. (1991). γ‐Aminobutyric AcidA Receptor Heterogeneity Is Increased by Alternative Splicing of a Novel β‐Subunit Gene Transcript. Journal of Neurochemistry. 56(4). 1437–1440. 126 indexed citations
20.
Dalton, R.G., Annette Lasham, & Geoffrey F. Savidge. (1988). A new rapid semi-dry blotting technique for multimeric sizing of von willebrand factor. Thrombosis Research. 50(2). 345–349. 18 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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