Daniel Cameron

2.4k total citations
18 papers, 740 citations indexed

About

Daniel Cameron is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Daniel Cameron has authored 18 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Daniel Cameron's work include Genomics and Phylogenetic Studies (8 papers), Cancer Genomics and Diagnostics (6 papers) and RNA and protein synthesis mechanisms (4 papers). Daniel Cameron is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Cancer Genomics and Diagnostics (6 papers) and RNA and protein synthesis mechanisms (4 papers). Daniel Cameron collaborates with scholars based in Australia, United States and Netherlands. Daniel Cameron's co-authors include Anthony T. Papenfuss, Leon Di Stefano, Alexander Dobrovic, Hongdo Do, Jan Schröder, Terence P. Speed, Ramyar Molania, Jocelyn Sietsma Penington, Peter Priestley and Edwin Cuppen and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel Cameron

15 papers receiving 725 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Cameron Australia	10	414	274	262	116	102	18	740
Quan Chen China	11	742 1.8×	263 1.0×	196 0.7×	65 0.6×	44 0.4×	21	916
Katherine Rhodes United States	15	549 1.3×	148 0.5×	225 0.9×	79 0.7×	50 0.5×	19	838
Haley M. Amemiya United States	8	907 2.2×	149 0.5×	230 0.9×	63 0.5×	88 0.9×	11	1.1k
Yannick Bidet France	16	468 1.1×	128 0.5×	212 0.8×	93 0.8×	88 0.9×	37	757
Anju Zhang China	14	414 1.0×	71 0.3×	192 0.7×	96 0.8×	49 0.5×	32	794
Matthew A. Bockol United States	6	338 0.8×	169 0.6×	116 0.4×	47 0.4×	50 0.5×	6	605
Huei San Leong Australia	9	390 0.9×	131 0.5×	110 0.4×	90 0.8×	27 0.3×	11	686
Margarida Gama‐Carvalho Portugal	16	661 1.6×	155 0.6×	83 0.3×	39 0.3×	88 0.9×	46	859
Qingrun Zhang United States	10	421 1.0×	78 0.3×	244 0.9×	64 0.6×	196 1.9×	23	745
Laurent Vanhille France	16	732 1.8×	139 0.5×	92 0.4×	146 1.3×	56 0.5×	19	1.2k

Countries citing papers authored by Daniel Cameron

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Cameron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Cameron

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

All Works

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18 of 18 papers shown

Cameron, Daniel, Nadia Zaffaroni, Noemi Arrighetti, et al.. (2025). Epigenetic targeting of PGBD5-dependent DNA damage in SMARCB1-deficient sarcomas. Journal of Clinical Investigation. 135(20).

Cameron, Daniel, Liyang Zhao, Sunder Sims‐Lucas, et al.. (2025). Mitochondrial organization in the developing proximal tubule is controlled by LRRK2. Nature Communications. 16(1). 9611–9611.

Ramsey, Jolene, J. C. K. Tovey, Daniel Cameron, et al.. (2025). Resolution of a T1-Like Bacteriophage Outbreak by Receptor Engineering. Molecular Biotechnology.

Behera, Sairam, Severine Catreux, Massimiliano Rossi, et al.. (2024). Comprehensive genome analysis and variant detection at scale using DRAGEN. Nature Biotechnology. 43(7). 1177–1191. 18 indexed citations

Cameron, Daniel, et al.. (2022). svaRetro and svaNUMT: modular packages for annotating retrotransposed transcripts and nuclear integration of mitochondrial DNA in genome sequencing data. SHILAP Revista de lepidopterología. 2022. 1–13. 2 indexed citations

Valle-Inclán, Jose Espejo, Nicolle Besselink, Ewart de Bruijn, et al.. (2022). A multi-platform reference for somatic structural variation detection. Cell Genomics. 2(6). 100139–100139. 17 indexed citations

Shale, Charles, Daniel Cameron, Jonathan Baber, et al.. (2022). Unscrambling cancer genomes via integrated analysis of structural variation and copy number. Cell Genomics. 2(4). 100112–100112. 37 indexed citations

Cameron, Daniel, et al.. (2022). StructuralVariantAnnotation: a R/Bioconductor foundation for a caller-agnostic structural variant software ecosystem. Bioinformatics. 38(7). 2046–2048. 5 indexed citations

Cameron, Daniel, et al.. (2021). VIRUSBreakend: Viral Integration Recognition Using Single Breakends. Bioinformatics. 37(19). 3115–3119. 12 indexed citations

10.

Cameron, Daniel, Jonathan Baber, Charles Shale, et al.. (2021). GRIDSS2: comprehensive characterisation of somatic structural variation using single breakend variants and structural variant phasing. Genome biology. 22(1). 202–202. 74 indexed citations

11.

Khushman, Moh’d, et al.. (2020). Epidermal growth factor receptor-activating mutation(E746_T751>VP) in pancreatic ductal adenocarcinoma responds to erlotinib, followed by epidermal growth factor receptor resistance-mediating mutation (A647T): A case report and literature review. Journal of Cancer Research and Therapeutics. 16(4). 950–950. 8 indexed citations

12.

Mérino, Delphine, Tom Weber, Antonin Serrano, et al.. (2019). Barcoding reveals complex clonal behavior in patient-derived xenografts of metastatic triple negative breast cancer. Nature Communications. 10(1). 766–766. 107 indexed citations

13.

Cameron, Daniel, Leon Di Stefano, & Anthony T. Papenfuss. (2019). Comprehensive evaluation and characterisation of short read general-purpose structural variant calling software. Nature Communications. 10(1). 3240–3240. 179 indexed citations

14.

Chan, Eva K.F., Daniel Cameron, Desiree C. Petersen, et al.. (2018). Optical mapping reveals a higher level of genomic architecture of chained fusions in cancer. Genome Research. 28(5). 726–738. 39 indexed citations

15.

Cameron, Daniel, Jan Schröder, Jocelyn Sietsma Penington, et al.. (2017). GRIDSS: sensitive and specific genomic rearrangement detection using positional de Bruijn graph assembly. Genome Research. 27(12). 2050–2060. 182 indexed citations

16.

Dwight, Trisha, Kaushalya Amarasinghe, Diana E. Benn, et al.. (2017). TERT structural rearrangements in metastatic pheochromocytomas. Endocrine Related Cancer. 25(1). 1–9. 46 indexed citations

17.

Do, Hongdo, Daniel Cameron, Ramyar Molania, et al.. (2016). Digital PCR of Genomic Rearrangements for Monitoring Circulating Tumour DNA. Advances in experimental medicine and biology. 924. 139–146. 5 indexed citations

18.

Meinhard, E A, R. Oozeer, & Daniel Cameron. (1988). Photosensitive epilepsy in children who set fires. BMJ. 296(6639). 1773–1773. 9 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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