Benjamin J. Scicluna

3.7k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

Benjamin J. Scicluna is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Benjamin J. Scicluna has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Physiology. Recurrent topics in Benjamin J. Scicluna's work include Extracellular vesicles in disease (6 papers), MicroRNA in disease regulation (4 papers) and Cancer-related molecular mechanisms research (2 papers). Benjamin J. Scicluna is often cited by papers focused on Extracellular vesicles in disease (6 papers), MicroRNA in disease regulation (4 papers) and Cancer-related molecular mechanisms research (2 papers). Benjamin J. Scicluna collaborates with scholars based in Australia, United States and Austria. Benjamin J. Scicluna's co-authors include Andrew F. Hill, Lesley Cheng, Robyn A. Sharples, Bradley M. Coleman, Xin Sun, Juan Carlos Polanco, Jürgen Götz, Colin L. Masters, Ching‐Seng Ang and Laura J. Vella and has published in prestigious journals such as Journal of Biological Chemistry, Kidney International and Cell Reports.

In The Last Decade

Benjamin J. Scicluna

8 papers receiving 1.6k citations

Hit Papers

Exosomes provide a protec... 2014 2026 2018 2022 2014 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Benjamin J. Scicluna 1.4k 917 150 140 127 8 1.6k
Inas Helwa 902 0.6× 505 0.6× 150 1.0× 110 0.8× 52 0.4× 18 1.3k
W. Michael Dismuke 1.0k 0.7× 398 0.4× 142 0.9× 153 1.1× 81 0.6× 21 1.4k
Simona Cazacu 1.4k 1.0× 719 0.8× 139 0.9× 38 0.3× 34 0.3× 32 1.8k
Μαρία Γεωργιάδου 792 0.6× 343 0.4× 246 1.6× 125 0.9× 27 0.2× 25 1.5k
Hong Wei 897 0.6× 571 0.6× 258 1.7× 54 0.4× 46 0.4× 32 1.2k
Yakov Fellig 934 0.7× 611 0.7× 191 1.3× 172 1.2× 46 0.4× 78 1.8k
Samah Shah 861 0.6× 405 0.4× 260 1.7× 512 3.7× 67 0.5× 18 1.4k
Timur R. Samatov 1.0k 0.7× 688 0.8× 135 0.9× 69 0.5× 18 0.1× 34 1.4k
Soniya Savant 565 0.4× 241 0.3× 127 0.8× 38 0.3× 83 0.7× 13 962

Countries citing papers authored by Benjamin J. Scicluna

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin J. Scicluna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin J. Scicluna

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

All Works

8 of 8 papers shown
1.
Foers, Andrew D., Simon Chatfield, Laura F. Dagley, et al.. (2018). Enrichment of extracellular vesicles from human synovial fluid using size exclusion chromatography. Journal of Extracellular Vesicles. 7(1). 1490145–1490145. 100 indexed citations
2.
Vella, Laura J., Benjamin J. Scicluna, Lesley Cheng, et al.. (2017). A rigorous method to enrich for exosomes from brain tissue. Journal of Extracellular Vesicles. 6(1). 1348885–1348885. 224 indexed citations
3.
Polanco, Juan Carlos, Benjamin J. Scicluna, Andrew F. Hill, & Jürgen Götz. (2016). Extracellular Vesicles Isolated from the Brains of rTg4510 Mice Seed Tau Protein Aggregation in a Threshold-dependent Manner. Journal of Biological Chemistry. 291(24). 12445–12466. 217 indexed citations
4.
Quek, Camelia, Shayne A. Bellingham, Chol‐Hee Jung, et al.. (2016). Defining the purity of exosomes required for diagnostic profiling of small RNA suitable for biomarker discovery. RNA Biology. 14(2). 245–258. 41 indexed citations
5.
Cheng, Lesley, Robyn A. Sharples, Benjamin J. Scicluna, & Andrew F. Hill. (2014). Exosomes provide a protective and enriched source of miRNA for biomarker profiling compared to intracellular and cell‐free blood. Journal of Extracellular Vesicles. 3(1). 671 indexed citations breakdown →
6.
Cui, Huanhuan, Belinda B. Guo, Benjamin J. Scicluna, et al.. (2013). Prion Infection Impairs Cholesterol Metabolism in Neuronal Cells. Journal of Biological Chemistry. 289(2). 789–802. 29 indexed citations
7.
Cheng, Lesley, Xin Sun, Benjamin J. Scicluna, Bradley M. Coleman, & Andrew F. Hill. (2013). Characterization and deep sequencing analysis of exosomal and non-exosomal miRNA in human urine. Kidney International. 86(2). 433–444. 307 indexed citations
8.
Falsone, S. Fabio, N. Helge Meyer, Gerd Leitinger, et al.. (2012). SERF Protein Is a Direct Modifier of Amyloid Fiber Assembly. Cell Reports. 2(2). 358–371. 42 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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