Daniel Roden
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
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- T-cell and B-cell Immunology
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
-
- Single-cell and spatial transcriptomics 5
- Epigenetics and DNA Methylation 1
- Oncology 8
- Cancer Cells and Metastasis 5
- Cancer-related Molecular Pathways 2
- Co-authors
- Alexander Swarbrick (14 shared papers)Ghamdan Al‐Eryani (8 shared papers)Sunny Z. Wu (8 shared papers)Joakim Lundeberg (3 shared papers)Alma Andersson (3 shared papers)Camilla Engblom (1 shared paper)Fredrik Salmén (1 shared paper)Anna Ehinger (1 shared paper)
- Journals
- Cancer Research (4 papers)Nature Communications (4 papers)Breast Cancer Research (2 papers)PLoS Genetics (1 paper)PLoS ONE (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Daniel Roden
18 papers receiving 614 citations
Daniel Roden's Hit Papers
Peers
Comparison fields: 5 of 76
- Cancer Research 167
- Immunology 155
- Biophysics 39
- Molecular Biology 431
- Oncology 144
Countries citing papers authored by Daniel Roden
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
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-authors
The 25 scholars most cited alongside Daniel Roden, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactions Hit paper breakdown → | 2021 | 225 |
| 2 | 2019 | 197 | |
| 3 | 2015 | 40 | |
| 4 | 2016 | 35 | |
| 5 | 2023 | 24 | |
| 6 | 2020 | 16 | |
| 7 | 2015 | 12 | |
| 8 | 2020 | 11 | |
| 9 | 2019 | 10 | |
| 10 | 2021 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2019 | 9 | |
| 13 | 2018 | 7 | |
| 14 | 2014 | 6 | |
| 15 | 2021 | 2 | |
| 16 | An integrated multi-omic cellular atlas of human breast cancers. | 2021 | 1 |
| 17 | 2024 | 1 | |
| 18 | 2019 | 1 |
About Daniel Roden
Daniel Roden is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Genetics, having authored 18 papers that have together received 616 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Cancer Cells and Metastasis (5 papers), Cancer Genomics and Diagnostics (2 papers), T-cell and B-cell Immunology (2 papers), Cancer-related Molecular Pathways (2 papers), Estrogen and related hormone effects (1 paper), Epigenetics and DNA Methylation (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Cancer Research (167 citations), Immunology (155 citations), Biophysics (39 citations), Molecular Biology (431 citations) and Oncology (144 citations). Daniel Roden has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Alexander Swarbrick, Ghamdan Al‐Eryani, Sunny Z. Wu, Joakim Lundeberg, Alma Andersson, Camilla Engblom, Fredrik Salmén, Anna Ehinger, Åke Borg and Ludvig Larsson. Their work appears in journals such as Cancer Research, Nature Communications, Breast Cancer Research, PLoS Genetics and PLoS ONE.
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.