Daniel Barrell
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks 11
- Biomedical Text Mining and Ontologies 10
- Genomics and Phylogenetic Studies 6
- Gene expression and cancer classification 3
- CRISPR and Genetic Engineering 2
- Microbial Metabolic Engineering and Bioproduction 2
- RNA modifications and cancer 1
- Aging top 10%
- Genetics top 10%
- Animal Genetics and Reproduction 1
- Spectroscopy top 10%
- Co-authors
- Rolf ApweilerEmily DimmerDavid BinnsRachael P. HuntleyClaire O’DonovanEvelyn CamonMichele MagraneJohn Maslen
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Daniel Barrell
14 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 1.6k
- Aging 23
- Computational Theory and Mathematics 140
- Genetics 230
- Spectroscopy 126
Countries citing papers authored by Daniel Barrell
This map shows the geographic impact of Daniel Barrell'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 Barrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Barrell more than expected).
Fields of papers citing papers by Daniel Barrell
This network shows the impact of papers produced by Daniel Barrell. 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 Barrell. The network helps show where Daniel Barrell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Barrell, 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 | 2022 | 11 | |
| 2 | 2012 | 36 | |
| 3 | QuickGO: a web-based tool for Gene Ontology searchingbreakdown → | 2009 | 672 |
| 4 | 2009 | 46 | |
| 5 | 2008 | 13 | |
| 6 | 2008 | 452 | |
| 7 | 2008 | 34 | |
| 8 | 2007 | 10 | |
| 9 | 2006 | 235 | |
| 10 | 2005 | 142 | |
| 11 | Who tangos with GOA?-Use of Gene Ontology Annotation (GOA) for biological interpretation of '-omics' data and for validation of automatic annotation tools. | 2005 | 22 |
| 12 | The Gene Ontology Annotation (GOA) Database--an integrated resource of GO annotations to the UniProt Knowledgebase. | 2004 | 119 |
| 13 | 2003 | 273 | |
| 14 | 2003 | 36 |
About Daniel Barrell
Daniel Barrell is a scholar working on Molecular Biology, Oncology, Genetics, Electrical and Electronic Engineering and Infectious Diseases, having authored 14 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), Biomedical Text Mining and Ontologies (10 papers), Genomics and Phylogenetic Studies (6 papers), Gene expression and cancer classification (3 papers), CRISPR and Genetic Engineering (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Animal Genetics and Reproduction (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Molecular Biology (1.6k citations), Aging (23 citations), Computational Theory and Mathematics (140 citations), Genetics (230 citations) and Spectroscopy (126 citations). Daniel Barrell has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Rolf Apweiler, Emily Dimmer, David Binns, Rachael P. Huntley, Claire O’Donovan, Evelyn Camon, Michele Magrane, John Maslen, Paul Kersey and Nicola Mulder. Their work appears in journals such as Database, PROTEOMICS, BMC Genomics, BMC Bioinformatics and Bioinformatics.
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.