Dannon Baker
Impact in
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- Scientific Computing and Data Management
- Aging top 5%
Papers in
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- Scientific Computing and Data Management 8
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- Cell Image Analysis Techniques 2
- Co-authors
- James TaylorAnton NekrutenkoEnis AfganNate CoraorDaniel BlankenbergDave BouvierJohn ChiltonMarius van den Beek
- Journals
- BMC Bioinformatics (2 papers)Nucleic Acids Research (2 papers)PLoS Pathogens (1 paper)Genome biology (1 paper)Concurrency and Computation Practice and Experience (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Dannon Baker
11 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Information Systems and Management 323
- Aging 69
- Molecular Biology 2.6k
- Endocrinology 153
- Molecular Medicine 130
Countries citing papers authored by Dannon Baker
This map shows the geographic impact of Dannon Baker'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 Dannon Baker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dannon Baker more than expected).
Fields of papers citing papers by Dannon Baker
This network shows the impact of papers produced by Dannon Baker. 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 Dannon Baker. The network helps show where Dannon Baker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dannon Baker, 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 | 2023 | 1 | |
| 2 | 2020 | 17 | |
| 3 | The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update Hit paper breakdown → | 2018 | 2447 |
| 4 | The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update Hit paper breakdown → | 2016 | 1463 |
| 5 | Big Data Geo-Analytical Tool Development for Spatial Analysis Uncertainty Visualization and Quantification Needs | 2015 | 1 |
| 6 | 2015 | 6 | |
| 7 | 2014 | 156 | |
| 8 | 2014 | 4 | |
| 9 | 2011 | 4 | |
| 10 | 2010 | 124 | |
| 11 | 2010 | 21 | |
| 12 | Fault Tolerant Actuation for Steer-by-Wire Applications | 2007 | 5 |
About Dannon Baker
Dannon Baker is a scholar working on Information Systems and Management, Biophysics, Computer Networks and Communications, Information Systems and Automotive Engineering, having authored 12 papers that have together received 4.2k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (8 papers), Distributed and Parallel Computing Systems (4 papers), Research Data Management Practices (2 papers), Cloud Computing and Resource Management (2 papers), Bioinformatics and Genomic Networks (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Cell Image Analysis Techniques (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Information Systems and Management (323 citations), Aging (69 citations), Molecular Biology (2.6k citations), Endocrinology (153 citations) and Molecular Medicine (130 citations). Dannon Baker has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include James Taylor, Anton Nekrutenko, Enis Afgan, Nate Coraor, Daniel Blankenberg, Dave Bouvier, John Chilton, Marius van den Beek, Martin Čech and Jennifer Hillman‐Jackson. Their work appears in journals such as BMC Bioinformatics, Nucleic Acids Research, PLoS Pathogens, Genome biology and Concurrency and Computation Practice and Experience.
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.