Daniel Roden

5.6k total citations · 1 hit paper
18 papers, 582 citations indexed

About

Daniel Roden is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Daniel Roden has authored 18 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Daniel Roden's work include Cancer Cells and Metastasis (6 papers), Single-cell and spatial transcriptomics (5 papers) and Epigenetics and DNA Methylation (2 papers). Daniel Roden is often cited by papers focused on Cancer Cells and Metastasis (6 papers), Single-cell and spatial transcriptomics (5 papers) and Epigenetics and DNA Methylation (2 papers). Daniel Roden collaborates with scholars based in Australia, United Kingdom and United States. Daniel Roden's co-authors include Alexander Swarbrick, Ghamdan Al‐Eryani, Sunny Z. Wu, Åke Borg, Camilla Engblom, Jonas Frisén, Alma Andersson, Joakim Lundeberg, Anna Ehinger and Fredrik Salmén and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Daniel Roden

18 papers receiving 581 citations

Hit Papers

Spatial deconvolution of HER2-positive breast cancer deli... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactions
    2021 205 citations Alma Andersson, Ludvig Larsson et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Roden Australia 10 431 181 163 142 46 18 582
Jonas Windhager Switzerland 4 367 0.9× 174 1.0× 258 1.6× 299 2.1× 62 1.3× 6 649
Ghamdan Al‐Eryani Australia 4 320 0.7× 125 0.7× 143 0.9× 100 0.7× 17 0.4× 11 430
Samir Jain India 4 376 0.9× 142 0.8× 204 1.3× 259 1.8× 52 1.1× 9 666
Lawrence JK Wee Singapore 7 658 1.5× 319 1.8× 202 1.2× 368 2.6× 59 1.3× 7 952
Orsi Giricz United States 11 347 0.8× 125 0.7× 106 0.7× 172 1.2× 43 0.9× 23 567
Duanchen Sun China 11 468 1.1× 189 1.0× 113 0.7× 137 1.0× 112 2.4× 21 647
Mingyu Yang China 5 519 1.2× 121 0.7× 119 0.7× 63 0.4× 40 0.9× 9 626
Simona Cristea United States 14 476 1.1× 303 1.7× 76 0.5× 214 1.5× 90 2.0× 21 699
Jolene Jie Lin Goh Singapore 3 561 1.3× 324 1.8× 171 1.0× 357 2.5× 58 1.3× 5 812
B. Hilda Ye United States 7 455 1.1× 102 0.6× 123 0.8× 149 1.0× 64 1.4× 14 692

Countries citing papers authored by Daniel Roden

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Roden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Roden

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

All Works

18 of 18 papers shown
1.
Roden, Daniel, Kate Harvey, Ghamdan Al‐Eryani, et al.. (2024). Abstract PO5-01-09: Exploring cellular heterogeneity of localised breast cancers. Cancer Research. 84(9_Supplement). PO5–1. 1 indexed citations
2.
Tran, Khoa, Venkateswar Addala, Rebecca L. Johnston, et al.. (2023). Performance of tumour microenvironment deconvolution methods in breast cancer using single-cell simulated bulk mixtures. Nature Communications. 14(1). 5758–5758. 22 indexed citations
3.
Bartoniček, Nenad, Jessica Yang, Sunny Z. Wu, et al.. (2022). DNA barcoding reveals ongoing immunoediting of clonal cancer populations during metastatic progression and immunotherapy response. Nature Communications. 13(1). 6539–6539. 8 indexed citations
4.
Wu, Sunny Z., Daniel Roden, Ghamdan Al‐Eryani, et al.. (2021). An integrated multi-omic cellular atlas of human breast cancers.. Cancer Research. 81(13). 1 indexed citations
5.
Holliday, Holly, Daniel Roden, Simon Junankar, et al.. (2021). Inhibitor of Differentiation 4 (ID4) represses mammary myoepithelial differentiation via inhibition of HEB. iScience. 24(2). 102072–102072. 10 indexed citations
6.
Andersson, Alma, Ludvig Larsson, Linnea Stenbeck, et al.. (2021). Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactions. Nature Communications. 12(1). 6012–6012. 205 indexed citations breakdown →
7.
Wu, Sunny Z., Daniel Roden, Ghamdan Al‐Eryani, et al.. (2021). Abstract 129: An integrated multi-omic cellular atlas of human breast cancers. Cancer Research. 81(13_Supplement). 129–129. 2 indexed citations
8.
Piggin, Catherine, Daniel Roden, Andrew M. K. Law, et al.. (2020). ELF5 modulates the estrogen receptor cistrome in breast cancer. PLoS Genetics. 16(1). e1008531–e1008531. 16 indexed citations
9.
Murali, Reshma, Wee Siang Teo, Andrea McFarland, et al.. (2020). Targeting the Id1-Kif11 Axis in Triple-Negative Breast Cancer Using Combination Therapy. Biomolecules. 10(9). 1295–1295. 11 indexed citations
10.
Currey, Nicola, C. Elizabeth Caldon, Phuong Tran, et al.. (2019). Mouse Model of Mutated in Colorectal Cancer Gene Deletion Reveals Novel Pathways in Inflammation and Cancer. Cellular and Molecular Gastroenterology and Hepatology. 7(4). 819–839. 10 indexed citations
11.
Singh, Mandeep, Ghamdan Al‐Eryani, Shaun Carswell, et al.. (2019). High-throughput targeted long-read single cell sequencing reveals the clonal and transcriptional landscape of lymphocytes. Nature Communications. 10(1). 3120–3120. 188 indexed citations
12.
Swarbrick, Alexander, et al.. (2019). Abstract GS1-01: Landscape of the breast tumour microenvironment at single-cell resolution. Cancer Research. 79(4_Supplement). GS1–1. 1 indexed citations
13.
14.
Hui, Mun N., Aurélie Cazet, Benjamin Elsworth, et al.. (2018). Targeting the Hedgehog signalling pathway in triple negative breast cancer.. Journal of Clinical Oncology. 36(15_suppl). e24216–e24216. 7 indexed citations
15.
Piggin, Catherine, Daniel Roden, David Gallego‐Ortega, et al.. (2016). ELF5 isoform expression is tissue-specific and significantly altered in cancer. Breast Cancer Research. 18(1). 4–4. 35 indexed citations
16.
Nguyen, Akira, Daniel Roden, Benjamin Elsworth, et al.. (2015). MicroRNA profiling of the pubertal mouse mammary gland identifies miR-184 as a candidate breast tumour suppressor gene. Breast Cancer Research. 17(1). 83–83. 40 indexed citations
17.
Blackburn, James, Daniel Roden, Robert Ng, et al.. (2015). Damage‐inducible intragenic demethylation of the human TP53 tumor suppressor gene is associated with transcription from an alternative intronic promoter. Molecular Carcinogenesis. 55(12). 1940–1951. 11 indexed citations
18.
Roden, Daniel, Gavin W. Sewell, Anna Lobley, et al.. (2014). ZODET: Software for the Identification, Analysis and Visualisation of Outlier Genes in Microarray Expression Data. PLoS ONE. 9(1). e81123–e81123. 6 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jonas Windhager Breakdown of academic impact, for papers by Ghamdan Al‐Eryani Breakdown of academic impact, for papers by Samir Jain Breakdown of academic impact, for papers by Lawrence JK Wee Breakdown of academic impact, for papers by Orsi Giricz Breakdown of academic impact, for papers by Duanchen Sun Breakdown of academic impact, for papers by Mingyu Yang Breakdown of academic impact, for papers by Simona Cristea Breakdown of academic impact, for papers by Jolene Jie Lin Goh Breakdown of academic impact, for papers by B. Hilda Ye
Rankless by CCL
2026