Emily Dimmer
Impact in
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks
- Biomedical Text Mining and Ontologies
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Gene expression and cancer classification
- RNA and protein synthesis mechanisms
Papers in
-
- Bioinformatics and Genomic Networks 18
- Biomedical Text Mining and Ontologies 15
- Gene expression and cancer classification 5
- Genomics and Phylogenetic Studies 4
- Microbial Metabolic Engineering and Bioproduction 2
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- Computational Drug Discovery Methods 2
- Co-authors
- Rolf ApweilerDaniel BarrellDavid BinnsRachael P. HuntleyClaire O’DonovanEvelyn CamonVivian LeeMichele Magrane
- Journals
- BMC Bioinformatics (3 papers)PLoS ONE (3 papers)Database (2 papers)PROTEOMICS (2 papers)Bioinformatics (1 paper)
- Partner nations
- United KingdomUnited StatesPortugal
In The Last Decade
Emily Dimmer
19 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 1.4k
- Aging 14
- Computational Theory and Mathematics 122
- Cancer Research 109
- Genetics 177
Countries citing papers authored by Emily Dimmer
This map shows the geographic impact of Emily Dimmer'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 Emily Dimmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Dimmer more than expected).
Fields of papers citing papers by Emily Dimmer
This network shows the impact of papers produced by Emily Dimmer. 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 Emily Dimmer. The network helps show where Emily Dimmer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emily Dimmer, 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 | 2015 | 2 | |
| 2 | 2014 | 13 | |
| 3 | 2014 | 67 | |
| 4 | 2013 | 14 | |
| 5 | 2011 | 20 | |
| 6 | 2010 | 33 | |
| 7 | 2010 | 11 | |
| 8 | QuickGO: a web-based tool for Gene Ontology searching Hit paper breakdown → | 2009 | 672 |
| 9 | 2009 | 46 | |
| 10 | 2008 | 13 | |
| 11 | 2008 | 452 | |
| 12 | 2008 | 11 | |
| 13 | 2008 | 34 | |
| 14 | 2007 | 10 | |
| 15 | 2006 | 38 | |
| 16 | 2005 | 142 | |
| 17 | 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 |
| 18 | 2004 | 13 | |
| 19 | The Gene Ontology Annotation (GOA) Database--an integrated resource of GO annotations to the UniProt Knowledgebase. | 2004 | 119 |
About Emily Dimmer
Emily Dimmer is a scholar working on Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Statistical and Nonlinear Physics and Genetics, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (18 papers), Biomedical Text Mining and Ontologies (15 papers), Gene expression and cancer classification (5 papers), Genomics and Phylogenetic Studies (4 papers), Semantic Web and Ontologies (3 papers), Genomics and Rare Diseases (2 papers), Computational Drug Discovery Methods (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Aging (14 citations), Computational Theory and Mathematics (122 citations), Cancer Research (109 citations) and Genetics (177 citations). Emily Dimmer has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Rolf Apweiler, Daniel Barrell, David Binns, Rachael P. Huntley, Claire O’Donovan, Evelyn Camon, Vivian Lee, Michele Magrane, John Maslen and Chris Mungall. Their work appears in journals such as BMC Bioinformatics, PLoS ONE, Database, PROTEOMICS 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.