Ian Dunham
Impact in
- Genetics top 0.5%
- Genetic Associations and Epidemiology
- Molecular Biology top 0.5%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
Papers in
- Genetics 51
- Genomic variations and chromosomal abnormalities 19
- Genetic Associations and Epidemiology 13
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- Genomics and Chromatin Dynamics 31
- RNA and protein synthesis mechanisms 17
- Epigenetics and DNA Methylation 16
- Bioinformatics and Genomic Networks 15
- Genomics and Phylogenetic Studies 13
- Co-authors
- Carole A. SargentMichaela SpitzerCharlotte G. ColeJessica VamathevanAnant MadabhushiGeorge LeeBin LiShanrong Zhao
- Journals
- Genomics (11 papers)Genome Research (8 papers)Nature Genetics (6 papers)Human Genetics (6 papers)Human Molecular Genetics (5 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Ian Dunham
140 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Genetics 2.7k
- Molecular Biology 6.6k
- Virology 405
- Cancer Research 1.1k
- Health Informatics 101
Countries citing papers authored by Ian Dunham
This map shows the geographic impact of Ian Dunham'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 Ian Dunham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Dunham more than expected).
Fields of papers citing papers by Ian Dunham
This network shows the impact of papers produced by Ian Dunham. 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 Ian Dunham. The network helps show where Ian Dunham may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian Dunham, 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 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 14 | |
| 4 | 2023 | 42 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 20 | |
| 7 | An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated loci Hit paper breakdown → | 2021 | 223 |
| 8 | 2021 | 162 | |
| 9 | 2019 | 60 | |
| 10 | 2017 | 107 | |
| 11 | 2017 | 82 | |
| 12 | 2016 | 25 | |
| 13 | The evolution of an imprinted domain in mammals | 2008 | 3 |
| 14 | 2007 | 120 | |
| 15 | Genome mapping and sequencing | 2003 | 4 |
| 16 | 2002 | 60 | |
| 17 | 2002 | 14 | |
| 18 | 2001 | 59 | |
| 19 | 2000 | 143 | |
| 20 | 1998 | 18 |
About Ian Dunham
Ian Dunham is a scholar working on Genetics, Molecular Biology, Immunology, Computational Theory and Mathematics and Cancer Research, having authored 144 papers that have together received 10.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (31 papers), Genomic variations and chromosomal abnormalities (19 papers), RNA and protein synthesis mechanisms (17 papers), Epigenetics and DNA Methylation (16 papers), Bioinformatics and Genomic Networks (15 papers), Genomics and Phylogenetic Studies (13 papers), Genetic Associations and Epidemiology (13 papers) and Chromosomal and Genetic Variations (12 papers). The work is most often cited by research in Genetics (2.7k citations), Molecular Biology (6.6k citations), Virology (405 citations), Cancer Research (1.1k citations) and Health Informatics (101 citations). Ian Dunham has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Carole A. Sargent, Michaela Spitzer, Charlotte G. Cole, Jessica Vamathevan, Anant Madabhushi, George Lee, Bin Li, Shanrong Zhao, Dominic A. Clark and Paul Czodrowski. Their work appears in journals such as Genomics, Genome Research, Nature Genetics, Human Genetics and Human Molecular Genetics.
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.