Daniel Aird
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 3
- Molecular Biology Techniques and Applications 2
- RNA and protein synthesis mechanisms 2
- Advanced Biosensing Techniques and Applications 1
- Epidemiology top 5%
- Influenza Virus Research Studies 1
- Immunology top 5%
- Genetics top 5%
- Virus-based gene therapy research 1
- Ecology top 5%
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- Viral gastroenteritis research and epidemiology 2
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- David B. JaffeChad NusbaumAndreas GnirkeMichael RossCarsten RussTimothy R. FennellWei‐Sheng ChenWayne A. Marasco
- Journals
- Protein Engineering Design and Selection (1 paper)PLoS Pathogens (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Daniel Aird
9 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.7k
- Epidemiology 824
- Immunology 451
- Genetics 480
- Ecology 414
Countries citing papers authored by Daniel Aird
This map shows the geographic impact of Daniel Aird'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 Aird with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Aird more than expected).
Fields of papers citing papers by Daniel Aird
This network shows the impact of papers produced by Daniel Aird. 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 Aird. The network helps show where Daniel Aird may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Aird, 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 | Combined inhibition of FGFR4 and VEGFR signaling enhances efficacy in FGF19 driven hepatocellular carcinoma. | 2022 | 3 |
| 2 | 2014 | 2 | |
| 3 | 2011 | 47 | |
| 4 | Analyzing and minimizing PCR amplification bias in Illumina sequencing librariesbreakdown → | 2011 | 817 |
| 5 | High-quality draft assemblies of mammalian genomes from massively parallel sequence databreakdown → | 2010 | 1037 |
| 6 | 2010 | 23 | |
| 7 | Structural and functional bases for broad-spectrum neutralization of avian and human influenza A virusesbreakdown → | 2009 | 923 |
| 8 | 2008 | 24 | |
| 9 | 2008 | 63 |
About Daniel Aird
Daniel Aird is a scholar working on Infectious Diseases, Molecular Biology, Animal Science and Zoology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 9 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Molecular Biology Techniques and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Advanced Biosensing Techniques and Applications (1 paper), Influenza Virus Research Studies (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Molecular Biology (1.7k citations), Epidemiology (824 citations), Immunology (451 citations), Genetics (480 citations) and Ecology (414 citations). Daniel Aird has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include David B. Jaffe, Chad Nusbaum, Andreas Gnirke, Michael Ross, Carsten Russ, Timothy R. Fennell, Wei‐Sheng Chen, Wayne A. Marasco, Jianhua Sui and Anuradha Yammanuru. Their work appears in journals such as Protein Engineering Design and Selection, PLoS Pathogens, Nature Structural & Molecular Biology, Genome biology and European Journal of Cancer.
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.