Robyn A. Sharples

3.3k total citations · 1 hit paper
24 papers, 2.6k citations indexed

About

Robyn A. Sharples is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Robyn A. Sharples has authored 24 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Physiology and 7 papers in Cancer Research. Recurrent topics in Robyn A. Sharples's work include Alzheimer's disease research and treatments (10 papers), Extracellular vesicles in disease (8 papers) and MicroRNA in disease regulation (5 papers). Robyn A. Sharples is often cited by papers focused on Alzheimer's disease research and treatments (10 papers), Extracellular vesicles in disease (8 papers) and MicroRNA in disease regulation (5 papers). Robyn A. Sharples collaborates with scholars based in Australia, Germany and Sweden. Robyn A. Sharples's co-authors include Andrew F. Hill, Lesley Cheng, Benjamin J. Scicluna, Colin L. Masters, Laura J. Vella, Kevin J. Barnham, Rebecca M. Nisbet, Roberto Cappai, Katrina Laughton and Qiao‐Xin Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Robyn A. Sharples

24 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exosomes provide a protective and enriched source of miRNA for biomarker profiling compared to intracellular and cell‐free blood

2014 671 citations Lesley Cheng, Robyn A. Sharples et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robyn A. Sharples Australia	19	1.9k	1.0k	683	329	188	24	2.6k
Anna Filipek Poland	31	2.0k 1.1×	473 0.5×	392 0.6×	163 0.5×	96 0.5×	99	2.8k
David A. Lomas United Kingdom	22	1.2k 0.6×	820 0.8×	777 1.1×	174 0.5×	77 0.4×	32	2.6k
Gabriella Lupo Italy	31	1.4k 0.8×	405 0.4×	248 0.4×	140 0.4×	287 1.5×	112	2.8k
Carmelina Daniela Anfuso Italy	30	1.2k 0.6×	378 0.4×	199 0.3×	132 0.4×	275 1.5×	106	2.5k
Jung Jin Hwang South Korea	27	1.4k 0.7×	252 0.2×	276 0.4×	352 1.1×	67 0.4×	75	2.7k
Giuseppe Fiermonte Italy	35	3.0k 1.6×	267 0.3×	549 0.8×	133 0.4×	87 0.5×	69	4.0k
Nagendra Yadava United States	23	1.8k 1.0×	319 0.3×	401 0.6×	78 0.2×	76 0.4×	37	2.6k
Ki‐Sun Kwon South Korea	29	2.5k 1.4×	347 0.3×	651 1.0×	230 0.7×	62 0.3×	77	3.7k
Daniela Sarnataro Italy	27	1.5k 0.8×	165 0.2×	415 0.6×	250 0.8×	247 1.3×	56	2.2k
Somsankar Dasgupta United States	22	1.2k 0.6×	241 0.2×	329 0.5×	135 0.4×	190 1.0×	51	1.6k

Countries citing papers authored by Robyn A. Sharples

Since Specialization

Citations

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

Fields of papers citing papers by Robyn A. Sharples

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robyn A. Sharples. 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 Robyn A. Sharples. The network helps show where Robyn A. Sharples may publish in the future.

Co-authorship network of co-authors of Robyn A. Sharples

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

All Works

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20 of 20 papers shown

Lunavat, Taral R., Lesley Cheng, Berglind O. Einarsdottir, et al.. (2017). BRAF^V600inhibition alters the microRNA cargo in the vesicular secretome of malignant melanoma cells. Proceedings of the National Academy of Sciences. 114(29). E5930–E5939. 98 indexed citations

Cheng, Lesley, Camelia Quek, Lin W. Hung, et al.. (2016). Gene dysregulation is restored in the Parkinson’s disease MPTP neurotoxic mice model upon treatment of the therapeutic drug CuII(atsm). Scientific Reports. 6(1). 17 indexed citations

Jamasbi, Elaheh, Giuseppe D. Ciccotosto, Julien Tailhades, et al.. (2015). Site of fluorescent label modifies interaction of melittin with live cells and model membranes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1848(10). 2031–2039. 15 indexed citations

Lunavat, Taral R., Lesley Cheng, Dae‐Kyum Kim, et al.. (2015). Small RNA deep sequencing discriminates subsets of extracellular vesicles released by melanoma cells – Evidence of unique microRNA cargos. RNA Biology. 12(8). 810–823. 150 indexed citations

Lunavat, Taral R., Joydeep Bhadury, Cecilia Lässer, et al.. (2015). 141 Small RNA deep sequencing discriminates subsets of extracellular vesicles released by melanoma cells - evidence of unique microRNA cargos. European Journal of Cancer. 51. S12–S12. 3 indexed citations

Jamasbi, Elaheh, Steven Batinovic, Robyn A. Sharples, et al.. (2014). Melittin peptides exhibit different activity on different cells and model membranes. Amino Acids. 46(12). 2759–2766. 67 indexed citations

Cheng, Lesley, James D. Doecke, Robyn A. Sharples, et al.. (2014). Prognostic serum miRNA biomarkers associated with Alzheimer’s disease shows concordance with neuropsychological and neuroimaging assessment. Molecular Psychiatry. 20(10). 1188–1196. 324 indexed citations

Lawson, Victoria, Laura J. Vella, James Stewart, et al.. (2008). Mouse-adapted sporadic human Creutzfeldt–Jakob disease prions propagate in cell culture. The International Journal of Biochemistry & Cell Biology. 40(12). 2793–2801. 60 indexed citations

Price, Katherine A., Gulay Filiz, Aphrodite Caragounis, et al.. (2008). Activation of epidermal growth factor receptor by metal-ligand complexes decreases levels of extracellular amyloid beta peptide. The International Journal of Biochemistry & Cell Biology. 40(9). 1901–1917. 22 indexed citations

10.

Sharples, Robyn A., Laura J. Vella, Rebecca M. Nisbet, et al.. (2008). Inhibition of γ‐secretase causes increased secretion of amyloid precursor protein C‐terminal fragments in association with exosomes. The FASEB Journal. 22(5). 1469–1478. 222 indexed citations

11.

Donnelly, Paul S., Aphrodite Caragounis, Tai Du, et al.. (2007). Selective Intracellular Release of Copper and Zinc Ions from Bis(thiosemicarbazonato) Complexes Reduces Levels of Alzheimer Disease Amyloid-β Peptide. Journal of Biological Chemistry. 283(8). 4568–4577. 175 indexed citations

12.

Vella, Laura J., Robyn A. Sharples, Rebecca M. Nisbet, Roberto Cappai, & Andrew F. Hill. (2007). The role of exosomes in the processing of proteins associated with neurodegenerative diseases. European Biophysics Journal. 37(3). 323–332. 197 indexed citations

13.

Caragounis, Aphrodite, Tai Du, Gulay Filiz, et al.. (2007). Differential modulation of Alzheimer's disease amyloid β-peptide accumulation by diverse classes of metal ligands. Biochemical Journal. 407(3). 435–450. 55 indexed citations

14.

White, Anthony R., Tai Du, Katrina Laughton, et al.. (2006). Degradation of the Alzheimer Disease Amyloid β-Peptide by Metal-dependent Up-regulation of Metalloprotease Activity. Journal of Biological Chemistry. 281(26). 17670–17680. 256 indexed citations

15.

Smith, Margaret J., Robyn A. Sharples, Geneviève Evin, et al.. (2004). Expression of truncated presenilin 2 splice variant in Alzheimer's disease, bipolar disorder, and schizophrenia brain cortex. Molecular Brain Research. 127(1-2). 128–135. 27 indexed citations

16.

Smith, Margaret J., Catriona McLean, Louise Canterford, et al.. (2002). Alternative transcripts of presenilin-1 associated with frontotemporal dementia. Neuroreport. 13(5). 719–723. 21 indexed citations

17.

Evin, Geneviève, Margaret J. Smith, Catriona McLean, et al.. (2002). Alternative transcripts of presenilin-1 associated with frontotemporal dementia. Neuroreport. 13(6). 917–921. 16 indexed citations

18.

Evin, Geneviève, Robyn A. Sharples, Andreas Weidemann, et al.. (2001). Aspartyl Protease Inhibitor Pepstatin Binds to the Presenilins of Alzheimer's Disease. Biochemistry. 40(28). 8359–8368. 38 indexed citations

19.

Culvenor, Janetta G., Geneviève Evin, Melissa A. Cooney, et al.. (2000). Presenilin 2 Expression in Neuronal Cells: Induction during Differentiation of Embryonic Carcinoma Cells. Experimental Cell Research. 255(2). 192–206. 37 indexed citations

20.

Sharples, Robyn A., Carleen Cullinane, & Don R. Phillips. (2000). Adriamycin-induced inhibition of mitochondrial-encoded polypeptides as a model system for the identification of hotspots for DNA-damaging agents.. PubMed. 15(3). 183–90. 4 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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