Kevin C. Miranda

3.1k total citations · 1 hit paper
11 papers, 2.5k citations indexed

About

Kevin C. Miranda is a scholar working on Molecular Biology, Ecology and Cancer Research. According to data from OpenAlex, Kevin C. Miranda has authored 11 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Ecology and 2 papers in Cancer Research. Recurrent topics in Kevin C. Miranda's work include RNA and protein synthesis mechanisms (4 papers), Machine Learning in Bioinformatics (2 papers) and Extracellular vesicles in disease (2 papers). Kevin C. Miranda is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Machine Learning in Bioinformatics (2 papers) and Extracellular vesicles in disease (2 papers). Kevin C. Miranda collaborates with scholars based in United States, Australia and United Kingdom. Kevin C. Miranda's co-authors include Toan Huynh, Isidore Rigoutsos, Wai Leong Tam, Yen-Sin Ang, Yvonne Tay, Bing Lim, Andrew M. Thomson, Dennis Brown, Leileata M. Russo and Johan Skog and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Kevin C. Miranda

11 papers receiving 2.4k citations

Hit Papers

A Pattern-Based Method for the Identification of MicroRNA... 2006 2026 2012 2019 2006 500 1000 1.5k

Peers

Kevin C. Miranda
Yi Tie China
Je‐Hyun Yoon United States
Brooke Gardiner Australia
Aaron Gabow United States
Zhuo Fang Germany
Jeffrey J. Quinn United States
Dmitriy Ovcharenko United States
Gabriel Kolle Australia
Daniel Muth Germany
Yi Tie China
Kevin C. Miranda
Citations per year, relative to Kevin C. Miranda Kevin C. Miranda (= 1×) peers Yi Tie

Countries citing papers authored by Kevin C. Miranda

Since Specialization
Citations

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

Fields of papers citing papers by Kevin C. Miranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin C. Miranda. 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 Kevin C. Miranda. The network helps show where Kevin C. Miranda may publish in the future.

Co-authorship network of co-authors of Kevin C. Miranda

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin C. Miranda. A scholar is included among the top collaborators of Kevin C. Miranda 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 Kevin C. Miranda. Kevin C. Miranda 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.
Giampaoli, Saverio, Filippo Barni, Anna Anselmo, et al.. (2021). DNA metabarcoding of forensic mycological samples. Egyptian Journal of Forensic Sciences. 11(1). 1 indexed citations
2.
Abdel‐Mageed, Wael M., Scott A. Jarmusch, Kevin C. Miranda, et al.. (2020). Whole genome sequencing of four bacterial strains from South Shetland Trench revealing biosynthetic and environmental adaptation gene clusters. Marine Genomics. 54. 100782–100782. 20 indexed citations
3.
Miranda, Kevin C., Joshua Z. Levin, Xian Adiconis, et al.. (2014). Massively Parallel Sequencing of Human Urinary Exosome/Microvesicle RNA Reveals a Predominance of Non-Coding RNA. PLoS ONE. 9(5). e96094–e96094. 102 indexed citations
4.
Miranda, Kevin C., Mary McKee, Johan Skog, et al.. (2010). Nucleic acids within urinary exosomes/microvesicles are potential biomarkers for renal disease. Kidney International. 78(2). 191–199. 345 indexed citations
5.
Miranda, Kevin C., Fiona E. Karet, & Dennis Brown. (2010). An Extended Nomenclature for Mammalian V-ATPase Subunit Genes and Splice Variants. PLoS ONE. 5(3). e9531–e9531. 31 indexed citations
6.
Rigoutsos, Isidore, Toan Huynh, Kevin C. Miranda, et al.. (2006). Short blocks from the noncoding parts of the human genome have instances within nearly all known genes and relate to biological processes. Proceedings of the National Academy of Sciences. 103(17). 6605–6610. 87 indexed citations
7.
Miranda, Kevin C., Toan Huynh, Yvonne Tay, et al.. (2006). A Pattern-Based Method for the Identification of MicroRNA Binding Sites and Their Corresponding Heteroduplexes. Cell. 126(6). 1203–1217. 1623 indexed citations breakdown →
8.
Fink, J. Lynn, Melissa J. Davis, Kelly Hanson, et al.. (2006). Subcellular Localization of Mammalian Type II Membrane Proteins. Traffic. 7(5). 613–625. 21 indexed citations
9.
Miranda, Kevin C., Shannon R. Joseph, Alpha S. Yap, Rohan D. Teasdale, & Jennifer L. Stow. (2003). Contextual Binding of p120 to E-cadherin at the Basolateral Plasma Membrane in Polarized Epithelia. Journal of Biological Chemistry. 278(44). 43480–43488. 53 indexed citations
10.
Grimmond, Sean M., Kevin C. Miranda, Zheng Yuan, et al.. (2003). The Mouse Secretome: Functional Classification of the Proteins Secreted Into the Extracellular Environment. Genome Research. 13(6b). 1350–1359. 66 indexed citations
11.
Miranda, Kevin C., Tatiana Khromykh, Cara J. Gottardi, et al.. (2001). A Dileucine Motif Targets E-cadherin to the Basolateral Cell Surface in Madin-Darby Canine Kidney and LLC-PK1 Epithelial Cells. Journal of Biological Chemistry. 276(25). 22565–22572. 138 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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