Darren Korbie

3.7k total citations
47 papers, 2.5k citations indexed

About

Darren Korbie is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Darren Korbie has authored 47 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 13 papers in Cancer Research and 9 papers in Biomedical Engineering. Recurrent topics in Darren Korbie's work include RNA modifications and cancer (13 papers), Epigenetics and DNA Methylation (12 papers) and Extracellular vesicles in disease (7 papers). Darren Korbie is often cited by papers focused on RNA modifications and cancer (13 papers), Epigenetics and DNA Methylation (12 papers) and Extracellular vesicles in disease (7 papers). Darren Korbie collaborates with scholars based in Australia, United States and Singapore. Darren Korbie's co-authors include John S. Mattick, Matt Trau, Rebecca E. Lane, Michelle M. Hill, Ramanathan Vaidyanathan, Will Anderson, Muhammad J. A. Shiddiky, Laura G. Carrascosa, Sakandar Rauf and Abu Ali Ibn Sina and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

Darren Korbie

47 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darren Korbie Australia 22 2.0k 867 425 216 138 47 2.5k
Christopher M. Hindson Australia 11 1.1k 0.6× 419 0.5× 651 1.5× 188 0.9× 158 1.1× 13 2.3k
Kristine Schauer France 21 2.6k 1.3× 1.1k 1.3× 212 0.5× 186 0.9× 110 0.8× 39 3.6k
Shengqin Wang China 18 2.4k 1.2× 1.4k 1.6× 199 0.5× 322 1.5× 412 3.0× 50 3.8k
Ivan A. Vorobjev Russia 30 2.3k 1.2× 226 0.3× 312 0.7× 296 1.4× 200 1.4× 114 3.6k
Keith Mitchelson China 30 1.5k 0.8× 791 0.9× 467 1.1× 102 0.5× 269 1.9× 78 2.5k
Anton P. McCaffrey United States 24 3.2k 1.6× 1.1k 1.2× 206 0.5× 625 2.9× 69 0.5× 34 3.9k
Mads Daugaard Canada 23 2.4k 1.2× 510 0.6× 225 0.5× 251 1.2× 58 0.4× 56 3.5k
Wei Dang China 30 2.1k 1.1× 428 0.5× 310 0.7× 433 2.0× 148 1.1× 101 3.9k
Clare L. Fasching United States 19 2.8k 1.4× 246 0.3× 960 2.3× 265 1.2× 254 1.8× 26 3.9k
Winston Koh United States 14 1.9k 1.0× 880 1.0× 211 0.5× 222 1.0× 110 0.8× 25 2.7k

Countries citing papers authored by Darren Korbie

Since Specialization
Citations

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

Fields of papers citing papers by Darren Korbie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darren Korbie

This figure shows the co-authorship network connecting the top 25 collaborators of Darren Korbie. A scholar is included among the top collaborators of Darren Korbie 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 Darren Korbie. Darren Korbie 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.
Lane, Rebecca E., Darren Korbie, Kum Kum Khanna, et al.. (2024). Defining the relationship between cellular and extracellular vesicle (EV) content in breast cancer via an integrative multi‐omic analysis. PROTEOMICS. 24(11). e2300089–e2300089. 5 indexed citations
2.
Pegler, Joseph L., et al.. (2024). Exogenously Applied Gibberellic Acid Alters Cannabinoid Profile in Cannabis sativa L.. Agronomy. 14(10). 2417–2417. 1 indexed citations
3.
Mayne, Benjamin, David A. Crook, Darren Korbie, et al.. (2023). Accurate, non-destructive, and high-throughput age estimation for Golden perch (Macquaria ambigua spp.) using DNA methylation. Scientific Reports. 13(1). 9547–9547. 7 indexed citations
4.
Sweep, Fred C.G.J., Antonius E. van Herwaarden, Rod T. Mitchell, et al.. (2022). Transcriptional comparison of testicular adrenal rest tumors with fetal and adult tissues. European Journal of Endocrinology. 187(5). 607–615. 4 indexed citations
5.
Sina, Abu Ali Ibn, et al.. (2022). Opportunities for Early Cancer Detection: The Rise of ctDNA Methylation-Based Pan-Cancer Screening Technologies. Epigenomes. 6(1). 6–6. 21 indexed citations
6.
7.
Luu, Phuc‐Loi, Jenny Z. Song, Wenjia Qu, et al.. (2020). Comprehensive evaluation of targeted multiplex bisulphite PCR sequencing for validation of DNA methylation biomarker panels. Clinical Epigenetics. 12(1). 90–90. 17 indexed citations
8.
Howard, Christopher B., Yadveer S. Grewal, Ramanathan Vaidyanathan, et al.. (2019). Retooling phage display with electrohydrodynamic nanomixing and nanopore sequencing. Lab on a Chip. 19(24). 4083–4092. 11 indexed citations
9.
Lu, Jennifer, et al.. (2019). PrimerROC: accurate condition-independent dimer prediction using ROC analysis. Scientific Reports. 9(1). 209–209. 23 indexed citations
10.
Sina, Abu Ali Ibn, Laura G. Carrascosa, Ziyu Liang, et al.. (2018). Epigenetically reprogrammed methylation landscape drives the DNA self-assembly and serves as a universal cancer biomarker. Nature Communications. 9(1). 4915–4915. 119 indexed citations
11.
Dey, Shuvashis, Kamil Reza Khondakar, Alain Wuethrich, et al.. (2018). Tracking antigen specific T-cells: Technological advancement and limitations. Biotechnology Advances. 37(1). 145–153. 5 indexed citations
12.
Lane, Rebecca E., Darren Korbie, Matt Trau, & Michelle M. Hill. (2017). Purification Protocols for Extracellular Vesicles. Methods in molecular biology. 1660. 111–130. 93 indexed citations
13.
Ahmed, Mostak, Laura G. Carrascosa, Abu Ali Ibn Sina, et al.. (2016). Detection of aberrant protein phosphorylation in cancer using direct gold-protein affinity interactions. Biosensors and Bioelectronics. 91. 8–14. 16 indexed citations
14.
Lane, Rebecca E., Darren Korbie, Will Anderson, Ramanathan Vaidyanathan, & Matt Trau. (2015). Analysis of exosome purification methods using a model liposome system and tunable-resistive pulse sensing. Scientific Reports. 5(1). 7639–7639. 211 indexed citations
15.
Fernández-Valverde, Selene L., Evgeny A. Glazov, Elanor N. Wainwright, et al.. (2013). MicroRNAs-140-5p/140-3p Modulate Leydig Cell Numbers in the Developing Mouse Testis. Biology of Reproduction. 88(6). 143–143. 68 indexed citations
16.
Taft, Ryan J., Cas Simons, Satu Nahkuri, et al.. (2010). Nuclear-localized tiny RNAs are associated with transcription initiation and splice sites in metazoans. Nature Structural & Molecular Biology. 17(8). 1030–1034. 128 indexed citations
17.
Jung, Chol‐Hee, et al.. (2010). Identification of novel non-coding RNAs using profiles of short sequence reads from next generation sequencing data. BMC Genomics. 11(1). 77–77. 40 indexed citations
18.
Nahkuri, Satu, Ryan J. Taft, Darren Korbie, & John S. Mattick. (2008). Molecular Evolution of the HBII-52 snoRNA Cluster. Journal of Molecular Biology. 381(4). 810–815. 15 indexed citations
19.
Korbie, Darren & John S. Mattick. (2008). Touchdown PCR for increased specificity and sensitivity in PCR amplification. Nature Protocols. 3(9). 1452–1456. 464 indexed citations
20.
Hatton, Mark W.C., Kimberly Legault, Darren Korbie, et al.. (2002). Angiostatin II is the predominant glycoform in pleural effusates of rabbit VX-2 lung tumors. Journal of Laboratory and Clinical Medicine. 139(5). 316–323. 10 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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