Darryl Irwin

1.2k total citations
23 papers, 654 citations indexed

About

Darryl Irwin is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Darryl Irwin has authored 23 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cancer Research, 9 papers in Molecular Biology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Darryl Irwin's work include Cancer Genomics and Diagnostics (10 papers), Lung Cancer Treatments and Mutations (9 papers) and RNA modifications and cancer (4 papers). Darryl Irwin is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), Lung Cancer Treatments and Mutations (9 papers) and RNA modifications and cancer (4 papers). Darryl Irwin collaborates with scholars based in Australia, United States and Germany. Darryl Irwin's co-authors include Nicholas K. Hayward, Vanessa Bonazzi, Majid Ebrahimi Warkiani, Timothy P. Hughes, Hamish S. Scott, Susan Branford, Wendy T Parker, Yoon Sim Yap, Sai Sakktee Krisna and Ross A. Soo and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Darryl Irwin

23 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darryl Irwin Australia 13 213 198 185 151 123 23 654
Craig E. Litz United States 13 152 0.7× 54 0.3× 169 0.9× 46 0.3× 109 0.9× 22 707
S.A. Krueger United States 14 102 0.5× 97 0.5× 192 1.0× 208 1.4× 23 0.2× 24 570
Susana Olmedillas‐López Spain 12 188 0.9× 215 1.1× 244 1.3× 88 0.6× 17 0.1× 21 553
Xiaochuan Chen China 11 110 0.5× 95 0.5× 195 1.1× 104 0.7× 12 0.1× 30 530
Robert Godin United States 14 219 1.0× 44 0.2× 920 5.0× 181 1.2× 20 0.2× 22 1.1k
Bijan Moshaver Netherlands 11 225 1.1× 55 0.3× 253 1.4× 12 0.1× 437 3.6× 20 743
Lise Forfang Norway 10 76 0.4× 104 0.5× 326 1.8× 27 0.2× 107 0.9× 14 597
Ulrik Ralfkiær Denmark 18 145 0.7× 198 1.0× 423 2.3× 41 0.3× 72 0.6× 25 899
Olga E. Bryzgunova Russia 21 180 0.8× 881 4.4× 985 5.3× 278 1.8× 17 0.1× 52 1.3k
R. Handgretinger Germany 15 222 1.0× 75 0.4× 228 1.2× 32 0.2× 109 0.9× 33 718

Countries citing papers authored by Darryl Irwin

Since Specialization
Citations

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

Fields of papers citing papers by Darryl Irwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darryl Irwin

This figure shows the co-authorship network connecting the top 25 collaborators of Darryl Irwin. A scholar is included among the top collaborators of Darryl Irwin 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 Darryl Irwin. Darryl Irwin 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.
Bark, Juliana Müller, et al.. (2025). Minimally invasive biomarkers for triaging lung nodules—challenges and future perspectives. Cancer and Metastasis Reviews. 44(1). 29–29. 2 indexed citations
2.
Tang, Kai Dun, Darryl Irwin, Günter Härtel, et al.. (2024). Human papillomavirus (HPV) DNA methylation changes in HPV-associated head and neck cancer. Carcinogenesis. 45(3). 140–148. 7 indexed citations
3.
Leest, Paul van der, Melanie Janning, Sonja Loges, et al.. (2023). Detection and Monitoring of Tumor-Derived Mutations in Circulating Tumor DNA Using the UltraSEEK Lung Panel on the MassARRAY System in Metastatic Non-Small Cell Lung Cancer Patients. International Journal of Molecular Sciences. 24(17). 13390–13390. 8 indexed citations
4.
Kapeleris, Joanna, Juliana Müller Bark, Darryl Irwin, et al.. (2022). Prognostic value of integrating circulating tumour cells and cell-free DNA in non-small cell lung cancer. Heliyon. 8(7). e09971–e09971. 15 indexed citations
5.
Giannoudis, Athina, Alexander Sartori, Rasheed Zakaria, et al.. (2021). Genomic profiling using the UltraSEEK panel identifies discordancy between paired primary and breast cancer brain metastases and an association with brain metastasis-free survival. Breast Cancer Research and Treatment. 190(2). 241–253. 10 indexed citations
6.
Kulasinghe, Arutha, Connor O’Leary, James Monkman, et al.. (2021). The identification of circulating tumour DNA using MassARRAY technology in non-small-cell lung cancer (NSCLC). Lung Cancer. 160. 73–77. 7 indexed citations
7.
Gray, Elin S., Michelle R. Pereira, Leslie Calapre, et al.. (2019). Genomic Analysis of Circulating Tumor DNA Using a Melanoma-Specific UltraSEEK Oncogene Panel. Journal of Molecular Diagnostics. 21(3). 418–426. 18 indexed citations
8.
9.
Irwin, Darryl, Marissa Daniels, Linda Passmore, et al.. (2017). P1.05-015 Genomic Characterization of Non-Small Cell Lung Cancer in an Australian Population. Journal of Thoracic Oncology. 12(1). S622–S623. 1 indexed citations
10.
Arnau, Gisela Mir, Georgina L. Ryland, Stephen Huang, et al.. (2017). Multiplexed transcriptome analysis to detect ALK, ROS1 and RET rearrangements in lung cancer. Scientific Reports. 7(1). 42259–42259. 44 indexed citations
11.
12.
Lopez, Genghis H., Rhiannon McBean, Brett Wilson, et al.. (2015). Molecular typing for the Indian blood group associated 252G>C single nucleotide polymorphism in a selected cohort of Australian blood donors.. PubMed. 13(1). 78–85. 15 indexed citations
13.
Khoo, Bee Luan, Majid Ebrahimi Warkiani, Daniel Shao-Weng Tan, et al.. (2014). Clinical Validation of an Ultra High-Throughput Spiral Microfluidics for the Detection and Enrichment of Viable Circulating Tumor Cells. PLoS ONE. 9(7). e99409–e99409. 156 indexed citations
14.
Sakai, Kazuko, Atsushi Horiike, Darryl Irwin, et al.. (2013). Detection of epidermal growth factor receptor T790M mutation in plasma DNA from patients refractory to epidermal growth factor receptor tyrosine kinase inhibitor. Cancer Science. 104(9). 1198–1204. 60 indexed citations
15.
Dutton‐Regester, Ken, Darryl Irwin, Lauren G. Aoude, et al.. (2012). A High-Throughput Panel for Identifying Clinically Relevant Mutation Profiles in Melanoma. Molecular Cancer Therapeutics. 11(4). 888–897. 1 indexed citations
16.
Yip, Leona, Sophie Zaloumis, Darryl Irwin, et al.. (2009). Gene-wide association study between the aromatase gene (CYP19A1) and female pattern hair loss. British Journal of Dermatology. 161(2). 289–294. 69 indexed citations
17.
Hyland, Catherine A., Glenn Gardener, Robert L. Flower, et al.. (2009). Evaluation of non‐invasive prenatal RHD genotyping of the fetus. The Medical Journal of Australia. 191(1). 21–25. 43 indexed citations
18.
Bonazzi, Vanessa, Darryl Irwin, & Nicholas K. Hayward. (2008). Identification of candidate tumor suppressor genes inactivated by promoter methylation in melanoma. Genes Chromosomes and Cancer. 48(1). 10–21. 65 indexed citations
19.
Irwin, Darryl, et al.. (2003). Prenatal Diagnosis of Tetrasomy 18p Using Multiplex Fluorescent PCR and Comparison with a Variety of Techniques. Genetic Testing. 7(1). 1–6. 6 indexed citations
20.
Irwin, Darryl, Keith Mitchelson, & I. Findlay. (2003). PCR Product Cleanup Methods for Capillary Electrophoresis. BioTechniques. 34(5). 932–936. 12 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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