Andrew Brown
- Genetics top 2%
- Genetic Associations and Epidemiology 17
- Genetic Mapping and Diversity in Plants and Animals 10
- Molecular Biology top 5%
- Gene expression and cancer classification 9
- Genomics and Chromatin Dynamics 9
- Bioinformatics and Genomic Networks 8
- Genomics and Phylogenetic Studies 5
- RNA Research and Splicing 4
- Immunology and Allergy top 5%
- Aging top 10%
- Cancer Research top 10%
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- Bipolar Disorder and Treatment 4
- Co-authors
- Emmanouil T. DermitzakisOlivier DelaneauHalit OngenAlfonso BuilRichard O. HynesDenisa D. WagnerPaul S. FrenetteZhao Dong
- Journals
- Science (1 paper)Nucleic Acids Research (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United KingdomUnited StatesNorway
In The Last Decade
Andrew Brown
46 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 130
- Genetics 890
- Molecular Biology 1.4k
- Immunology and Allergy 111
- Aging 31
- Cancer Research 234
Countries citing papers authored by Andrew Brown
This map shows the geographic impact of Andrew Brown'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 Andrew Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Brown more than expected).
Fields of papers citing papers by Andrew Brown
This network shows the impact of papers produced by Andrew Brown. 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 Andrew Brown. The network helps show where Andrew Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew Brown, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 0 | |
| 5 | 2018 | 2 | |
| 6 | 2017 | 18 | |
| 7 | 2017 | 74 | |
| 8 | 2017 | 26 | |
| 9 | 2016 | 34 | |
| 10 | 2015 | 7 | |
| 11 | 2015 | 255 | |
| 12 | 2013 | 10 | |
| 13 | 2013 | 107 | |
| 14 | 2013 | 55 | |
| 15 | 2012 | 11 | |
| 16 | 2012 | 13 | |
| 17 | 2012 | 56 | |
| 18 | 2011 | 2 | |
| 19 | 2008 | 81 | |
| 20 | 1998 | 339 |
About Andrew Brown
Andrew Brown is a scholar working on Archeology, Genetics and Space and Planetary Science, having authored 49 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (17 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Gene expression and cancer classification (9 papers), Genomics and Chromatin Dynamics (9 papers), Bioinformatics and Genomic Networks (8 papers), Genomics and Phylogenetic Studies (5 papers), Bipolar Disorder and Treatment (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Genetics (890 citations), Molecular Biology (1.4k citations) and Immunology and Allergy (111 citations). Andrew Brown has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include Emmanouil T. Dermitzakis, Olivier Delaneau, Halit Ongen, Alfonso Buil, Richard O. Hynes, Denisa D. Wagner, Paul S. Frenette, Zhao Dong, Nikolaos I. Panousis and Barbara E. Engelhardt. Their work appears in journals such as Science, Nucleic Acids Research and Journal of Clinical Investigation.
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.