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 14
- Biomedical Text Mining and Ontologies 12
- Gene expression and cancer classification 4
- Genomics and Phylogenetic Studies 3
- Peroxisome Proliferator-Activated Receptors 1
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- Computational Drug Discovery Methods 2
- Co-authors
- Rolf Apweiler (13 shared papers)Daniel Barrell (9 shared papers)David Binns (5 shared papers)Rachael P. Huntley (9 shared papers)Claire O’Donovan (7 shared papers)Evelyn Camon (7 shared papers)Vivian Lee (2 shared papers)John Maslen (1 shared paper)
- Journals
- BMC Bioinformatics (3 papers)PLoS ONE (3 papers)Database (2 papers)PROTEOMICS (2 papers)Organogenesis (1 paper)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Emily Dimmer
20 papers receiving 1.7k citations
Emily Dimmer's Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 1.2k
- Aging 14
- Cancer Research 100
- Computational Theory and Mathematics 95
- Genetics 152
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-authors
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 | QuickGO: a web-based tool for Gene Ontology searching Hit paper breakdown → | 2009 | 682 |
| 2 | 2008 | 453 | |
| 3 | 2005 | 142 | |
| 4 | The Gene Ontology Annotation (GOA) Database--an integrated resource of GO annotations to the UniProt Knowledgebase. | 2004 | 119 |
| 5 | 2014 | 68 | |
| 6 | 2009 | 47 | |
| 7 | 2006 | 37 | |
| 8 | 2008 | 35 | |
| 9 | 2010 | 32 | |
| 10 | 2020 | 29 | |
| 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 | 2011 | 20 | |
| 13 | 2013 | 14 | |
| 14 | 2004 | 13 | |
| 15 | 2008 | 13 | |
| 16 | 2014 | 13 | |
| 17 | 2010 | 12 | |
| 18 | 2008 | 11 | |
| 19 | 2007 | 10 | |
| 20 | 2015 | 2 |
About Emily Dimmer
Emily Dimmer is a scholar working on Molecular Biology, Computational Theory and Mathematics, Genetics, General Health Professions and Statistical and Nonlinear Physics, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (14 papers), Biomedical Text Mining and Ontologies (12 papers), Gene expression and cancer classification (4 papers), Genomics and Phylogenetic Studies (3 papers), Genomics and Rare Diseases (2 papers), Computational Drug Discovery Methods (2 papers), Health Policy Implementation Science (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Molecular Biology (1.2k citations), Aging (14 citations), Cancer Research (100 citations), Computational Theory and Mathematics (95 citations) and Genetics (152 citations). Emily Dimmer has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Rolf Apweiler, Daniel Barrell, David Binns, Rachael P. Huntley, Claire O’Donovan, Evelyn Camon, Vivian Lee, John Maslen, Michele Magrane and Chris Mungall. Their work appears in journals such as BMC Bioinformatics, PLoS ONE, Database, PROTEOMICS and Organogenesis.
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.