Daniel Cameron
Impact in
- Health Informatics top 10%
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Cancer Genomics and Diagnostics 7
- Genetics 10
- Genomic variations and chromosomal abnormalities 9
- Chronic Lymphocytic Leukemia Research 1
- Co-authors
- Anthony T. Papenfuss (11 shared papers)Leon Di Stefano (2 shared papers)Peter Priestley (4 shared papers)Edwin P. J. G. Cuppen (4 shared papers)Charles Shale (2 shared papers)Jonathan Baber (2 shared papers)Nick M. Barnes (1 shared paper)Jose Espejo Valle-Inclán (2 shared papers)
- Journals
- Cell Genomics (4 papers)Nature Communications (3 papers)Science Advances (2 papers)Bioinformatics (2 papers)F1000Research (1 paper)
- Partner nations
- AustraliaUnited StatesNetherlands
In The Last Decade
Daniel Cameron
21 papers receiving 1k citations
Daniel Cameron's Hit Papers
Peers
Comparison fields: 5 of 86
- Health Informatics 35
- Cancer Research 179
- Genetics 319
- Virology 34
- Oncology 101
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 206 | |
| 2 | GA4GH: International policies and standards for data sharing across genomic research and healthcare Hit paper breakdown → | 2021 | 203 |
| 3 | 2021 | 122 | |
| 4 | 2019 | 119 | |
| 5 | 2022 | 57 | |
| 6 | 2017 | 53 | |
| 7 | 2021 | 52 | |
| 8 | 2024 | 43 | |
| 9 | 2021 | 41 | |
| 10 | 2021 | 38 | |
| 11 | 2004 | 29 | |
| 12 | 2022 | 21 | |
| 13 | 2021 | 19 | |
| 14 | 2017 | 10 | |
| 15 | 2022 | 8 | |
| 16 | 2016 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2025 | 1 |
About Daniel Cameron
Daniel Cameron is a scholar working on Cancer Research, Genetics, Genetics, Molecular Biology and Developmental Neuroscience, having authored 21 papers that have together received 1k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (9 papers), Cancer Genomics and Diagnostics (7 papers), Genomics and Phylogenetic Studies (4 papers), Bacteriophages and microbial interactions (2 papers), Research Data Management Practices (2 papers), Electronic Health Records Systems (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and Adrenal and Paraganglionic Tumors (1 paper). The work is most often cited by research in Health Informatics (35 citations), Cancer Research (179 citations), Genetics (319 citations), Virology (34 citations) and Oncology (101 citations). Daniel Cameron has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Anthony T. Papenfuss, Leon Di Stefano, Peter Priestley, Edwin P. J. G. Cuppen, Charles Shale, Jonathan Baber, Nick M. Barnes, Jose Espejo Valle-Inclán, Nicolle J.M. Besselink and Arne van Hoeck. Their work appears in journals such as Cell Genomics, Nature Communications, Science Advances, Bioinformatics and F1000Research.
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.