Ricky R. Lareu

1.6k total citations
32 papers, 1.3k citations indexed

About

Ricky R. Lareu is a scholar working on Molecular Biology, Epidemiology and Biomaterials. According to data from OpenAlex, Ricky R. Lareu has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Biomaterials. Recurrent topics in Ricky R. Lareu's work include Liver Disease Diagnosis and Treatment (4 papers), Reproductive Physiology in Livestock (4 papers) and Collagen: Extraction and Characterization (3 papers). Ricky R. Lareu is often cited by papers focused on Liver Disease Diagnosis and Treatment (4 papers), Reproductive Physiology in Livestock (4 papers) and Collagen: Extraction and Characterization (3 papers). Ricky R. Lareu collaborates with scholars based in Australia, Singapore and United States. Ricky R. Lareu's co-authors include Michael Raghunath, Jeff Hughes, Arun Dharmarajan, Raj Rajagopalan, Brett R. Dix, A.H. Bittles, Dimitrios I. Zeugolis, Nigel R. Swanson, Joshua P. Ramsay and Philip Newsholme and has published in prestigious journals such as Nucleic Acids Research, Neurology and Biochemical and Biophysical Research Communications.

In The Last Decade

Ricky R. Lareu

31 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ricky R. Lareu Australia 19 513 226 216 207 145 32 1.3k
Mingjie Wang China 24 575 1.1× 425 1.9× 292 1.4× 205 1.0× 131 0.9× 105 1.7k
Swathi Balaji United States 24 506 1.0× 359 1.6× 181 0.8× 308 1.5× 130 0.9× 64 1.9k
Akira Takeda Japan 23 678 1.3× 380 1.7× 147 0.7× 146 0.7× 185 1.3× 146 2.5k
Edward E. Putnins Canada 22 434 0.8× 157 0.7× 135 0.6× 67 0.3× 130 0.9× 43 1.4k
Andrew P. Sawaya United States 13 406 0.8× 208 0.9× 136 0.6× 307 1.5× 137 0.9× 21 2.0k
Rui‐Xin Wu China 23 426 0.8× 228 1.0× 311 1.4× 181 0.9× 92 0.6× 46 1.4k
Mikel Azkargorta Spain 24 583 1.1× 202 0.9× 366 1.7× 105 0.5× 71 0.5× 118 1.5k
Wataru Ariyoshi Japan 27 791 1.5× 237 1.0× 315 1.5× 139 0.7× 327 2.3× 104 2.2k
Zhengrong Chen China 25 436 0.8× 263 1.2× 227 1.1× 197 1.0× 43 0.3× 109 1.9k
Naoki Sasaki Japan 17 236 0.5× 235 1.0× 254 1.2× 181 0.9× 85 0.6× 64 1.2k

Countries citing papers authored by Ricky R. Lareu

Since Specialization
Citations

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

Fields of papers citing papers by Ricky R. Lareu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ricky R. Lareu. 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 Ricky R. Lareu. The network helps show where Ricky R. Lareu may publish in the future.

Co-authorship network of co-authors of Ricky R. Lareu

This figure shows the co-authorship network connecting the top 25 collaborators of Ricky R. Lareu. A scholar is included among the top collaborators of Ricky R. Lareu 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 Ricky R. Lareu. Ricky R. Lareu 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.
Warne, Leon N., et al.. (2024). Chronic metabolic effects of novel gut-oriented small-molecule GPR119 agonists in diet-induced obese mice. Biomedicine & Pharmacotherapy. 181. 117675–117675. 2 indexed citations
2.
Shafaei, Armaghan, et al.. (2024). Unlocking the Therapeutic Potential of Ellagic Acid for Non-Alcoholic Fatty Liver Disease and Non-Alcoholic Steatohepatitis. Antioxidants. 13(4). 485–485. 6 indexed citations
3.
Blackley, Susan, et al.. (2023). The Effectiveness of Evidence-Based Teaching Practices in Biomedical Sciences on Students’ Learning Experience: A Systematic Literature Review. International Journal of Innovation in Science and Mathematics Education. 31(1).
4.
Lareu, Ricky R., et al.. (2018). In vitro antibacterial effects of statins against bacterial pathogens causing skin infections. European Journal of Clinical Microbiology & Infectious Diseases. 37(6). 1125–1135. 42 indexed citations
5.
Lareu, Ricky R., et al.. (2017). Statins: antimicrobial resistance breakers or makers?. PeerJ. 5. e3952–e3952. 50 indexed citations
6.
Caparrós‐Martín, José A., Ricky R. Lareu, Joshua P. Ramsay, et al.. (2017). Statin therapy causes gut dysbiosis in mice through a PXR-dependent mechanism. Microbiome. 5(1). 95–95. 174 indexed citations
7.
Tan, Shen Mynn, Gabriel Altschuler, Henry Yang, et al.. (2014). Divergent LIN28-mRNA associations result in translational suppression upon the initiation of differentiation. Nucleic Acids Research. 42(12). 7997–8007. 12 indexed citations
8.
9.
Lareu, Ricky R., Dimitrios I. Zeugolis, Mohammad Abu-Rub, Abhay Pandit, & Michael Raghunath. (2010). Essential modification of the Sircol Collagen Assay for the accurate quantification of collagen content in complex protein solutions. Acta Biomaterialia. 6(8). 3146–3151. 63 indexed citations
10.
Jung, Manfred, et al.. (2009). Suberoylanilide hydroxamic acid: a potential epigenetic therapeutic agent for lung fibrosis?. European Respiratory Journal. 34(1). 145–155. 69 indexed citations
11.
Kaar, Joel L., et al.. (2009). The Scar‐in‐a‐Jar: studying potential antifibrotic compounds from the epigenetic to extracellular level in a single well. British Journal of Pharmacology. 158(5). 1196–1209. 127 indexed citations
12.
Lareu, Ricky R., et al.. (2009). Understanding how the crowded interior of cells stabilizes DNA/DNA and DNA/RNA hybrids–in silico predictions and in vitro evidence. Nucleic Acids Research. 38(1). 172–181. 35 indexed citations
13.
14.
Lareu, Ricky R., et al.. (2007). Emulating a crowded intracellular environment in vitro dramatically improves RT-PCR performance. Biochemical and Biophysical Research Communications. 363(1). 171–177. 44 indexed citations
15.
Raghunath, Michael, et al.. (2006). Defensins HNP1 and HBD2 Stimulation of Wound-Associated Responses in Human Conjunctival Fibroblasts. Investigative Ophthalmology & Visual Science. 47(9). 3811–3811. 41 indexed citations
16.
Preutthipan, Sangchai, et al.. (2004). Inhibition of nitric oxide synthesis potentiates apoptosis in the rabbit corpus luteum. Reproductive BioMedicine Online. 9(3). 264–270. 15 indexed citations
17.
18.
Lacher, Markus D., Richard Jäger, Yan Xi, et al.. (2003). Role of DDC-4/sFRP-4, a secreted Frizzled-related protein, at the onset of apoptosis in mammary involution. Cell Death and Differentiation. 10(5). 528–538. 44 indexed citations
19.
Lareu, Ricky R., et al.. (1999). Fas and Fas Ligand Messenger Ribonucleic Acid and Protein Expression in the Rat Corpus Luteum during Apoptosis-Mediated Luteolysis1. Biology of Reproduction. 60(4). 797–804. 92 indexed citations
20.
Beilharz, Manfred W., Ricky R. Lareu, Kerryn L. Garrett, Miranda D. Grounds, & Sue Fletcher. (1992). Quantitation of muscle precursor cell activity in skeletal muscle by Northern analysis of MyoD and myogenin expression: Application to dystrophic (mdx) mouse muscle. Molecular and Cellular Neuroscience. 3(4). 326–331. 47 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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