David J. Adams
Impact in
- Cancer Research top 0.1%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Molecular Biology top 0.1%
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
Papers in
-
- CRISPR and Genetic Engineering 51
- Genomics and Chromatin Dynamics 35
- Epigenetics and DNA Methylation 32
- RNA modifications and cancer 29
- RNA Research and Splicing 26
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- Cancer Genomics and Diagnostics 61
- Co-authors
- Louise van der Weyden (65 shared papers)Thomas Keane (28 shared papers)Mark Johan Arends (44 shared papers)Alistair G. Rust (30 shared papers)Kim Wong (21 shared papers)Rebecca E. McIntyre (15 shared papers)Allan Bradley (14 shared papers)Carla Daniela Robles‐Espinoza (23 shared papers)
- Journals
- Nature Communications (43 papers)Nature Genetics (29 papers)Nature (25 papers)Genome biology (23 papers)The Journal of Pathology (15 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
David J. Adams
491 papers receiving 40.5k citations
David J. Adams's Hit Papers
Peers
Comparison fields: 5 of 208
- Cancer Research 8.7k
- Molecular Biology 23.2k
- Oncology 7.9k
- Genetics 6.3k
- Immunology 4.1k
Countries citing papers authored by David J. Adams
This map shows the geographic impact of David J. Adams'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 David J. Adams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Adams more than expected).
Fields of papers citing papers by David J. Adams
This network shows the impact of papers produced by David J. Adams. 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 David J. Adams. The network helps show where David J. Adams may publish in the future.
Co-authors
The 25 scholars most cited alongside David J. Adams, 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 502 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The repertoire of mutational signatures in human cancer Hit paper breakdown → | 2020 | 2339 |
| 2 | Pan-cancer analysis of whole genomes Hit paper breakdown → | 2020 | 2109 |
| 3 | Pancreatic cancer genomes reveal aberrations in axon guidance pathway genes Hit paper breakdown → | 2012 | 1704 |
| 4 | Mouse genomic variation and its effect on phenotypes and gene regulation Hit paper breakdown → | 2011 | 1189 |
| 5 | The IFITM Proteins Mediate Cellular Resistance to Influenza A H1N1 Virus, West Nile Virus, and Dengue Virus Hit paper breakdown → | 2009 | 1090 |
| 6 | Exome sequencing identifies frequent mutation of the SWI/SNF complex gene PBRM1 in renal carcinoma Hit paper breakdown → | 2011 | 1055 |
| 7 | High-throughput discovery of novel developmental phenotypes Hit paper breakdown → | 2016 | 899 |
| 8 | 53BP1 loss rescues BRCA1 deficiency and is associated with triple-negative and BRCA-mutated breast cancers Hit paper breakdown → | 2010 | 804 |
| 9 | IFITM3 restricts the morbidity and mortality associated with influenza Hit paper breakdown → | 2012 | 640 |
| 10 | An atlas of genetic influences on osteoporosis in humans and mice Hit paper breakdown → | 2018 | 571 |
| 11 | 2011 | 554 | |
| 12 | Patterns of somatic structural variation in human cancer genomes Hit paper breakdown → | 2020 | 550 |
| 13 | 2004 | 476 | |
| 14 | Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing Hit paper breakdown → | 2020 | 476 |
| 15 | Analyses of non-coding somatic drivers in 2,658 cancer whole genomes Hit paper breakdown → | 2020 | 419 |
| 16 | 2013 | 411 | |
| 17 | 2013 | 398 | |
| 18 | Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes Hit paper breakdown → | 2021 | 359 |
| 19 | Identification of 153 new loci associated with heel bone mineral density and functional involvement of GPC6 in osteoporosis Hit paper breakdown → | 2017 | 350 |
| 20 | 2016 | 347 |
About David J. Adams
David J. Adams is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Pathology and Forensic Medicine, having authored 502 papers that have together received 41.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (61 papers), CRISPR and Genetic Engineering (51 papers), Genomics and Chromatin Dynamics (35 papers), Epigenetics and DNA Methylation (32 papers), RNA modifications and cancer (29 papers), Cutaneous Melanoma Detection and Management (27 papers), Genetic factors in colorectal cancer (26 papers) and RNA Research and Splicing (26 papers). The work is most often cited by research in Cancer Research (8.7k citations), Molecular Biology (23.2k citations), Oncology (7.9k citations), Genetics (6.3k citations) and Immunology (4.1k citations). David J. Adams has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Louise van der Weyden, Thomas Keane, Mark Johan Arends, Alistair G. Rust, Kim Wong, Rebecca E. McIntyre, Allan Bradley, Carla Daniela Robles‐Espinoza, Jos Jonkers and William Leo McGuire. Their work appears in journals such as Nature Communications, Nature Genetics, Nature, Genome biology and The Journal of Pathology.
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.