Daniel Cameron
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Genetics top 10%
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
Papers in
-
- Genomics and Phylogenetic Studies 6
- RNA and protein synthesis mechanisms 3
- Molecular Biology Techniques and Applications 2
- Genetics 7
- Genomic variations and chromosomal abnormalities 4
- Genomics and Rare Diseases 3
- Co-authors
- Anthony T. Papenfuss (12 shared papers)Leon Di Stefano (2 shared papers)Alexander Dobrovic (3 shared papers)Hongdo Do (2 shared papers)Ramyar Molania (2 shared papers)Jan Schröder (1 shared paper)Jocelyn Sietsma Penington (1 shared paper)Terence P. Speed (1 shared paper)
- Journals
- Nature Communications (3 papers)Bioinformatics (2 papers)Genome Research (2 papers)Cell Genomics (2 papers)Nature Biotechnology (1 paper)
- Partner nations
- AustraliaUnited StatesNetherlands
In The Last Decade
Daniel Cameron
18 papers receiving 795 citations
Peers
Comparison fields: 5 of 86
- Cancer Research 253
- Genetics 240
- Molecular Biology 384
- Oncology 109
- Genetics 26
Countries citing papers authored by Daniel Cameron
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
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-authors
The 25 scholars most cited alongside Daniel Cameron, 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 | 2017 | 192 | |
| 2 | 2019 | 189 | |
| 3 | 2019 | 109 | |
| 4 | 2021 | 79 | |
| 5 | 2017 | 49 | |
| 6 | 2022 | 42 | |
| 7 | 2018 | 40 | |
| 8 | 2004 | 28 | |
| 9 | 2024 | 23 | |
| 10 | 2022 | 18 | |
| 11 | 2021 | 13 | |
| 12 | 1988 | 9 | |
| 13 | 2020 | 9 | |
| 14 | 2016 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 |
About Daniel Cameron
Daniel Cameron is a scholar working on Molecular Biology, Genetics, Cancer Research, Plant Science and Oncology, having authored 19 papers that have together received 814 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Genomics and Phylogenetic Studies (6 papers), Genomic variations and chromosomal abnormalities (4 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Rare Diseases (3 papers), Chromosomal and Genetic Variations (3 papers), Molecular Biology Techniques and Applications (2 papers) and Color Science and Applications (1 paper). The work is most often cited by research in Cancer Research (253 citations), Genetics (240 citations), Molecular Biology (384 citations), Oncology (109 citations) and Genetics (26 citations). Daniel Cameron has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Anthony T. Papenfuss, Leon Di Stefano, Alexander Dobrovic, Hongdo Do, Ramyar Molania, Jan Schröder, Jocelyn Sietsma Penington, Terence P. Speed, Edwin Cuppen and Peter Priestley. Their work appears in journals such as Nature Communications, Bioinformatics, Genome Research, Cell Genomics and Nature Biotechnology.
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.