John Beaver
Impact in
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- vaccines and immunoinformatics approaches
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Gene expression and cancer classification
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 5
- Machine Learning in Bioinformatics 3
- Gene expression and cancer classification 2
- Protein Structure and Dynamics 2
- Genomics and Phylogenetic Studies 2
- vaccines and immunoinformatics approaches 2
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- Astrophysics and Star Formation Studies 2
- Astro and Planetary Science 2
- Co-authors
- Frederick P. Roth (5 shared papers)Murat Taşan (4 shared papers)Gabriel F. Berriz (1 shared paper)Can Cenik (1 shared paper)Philip E. Bourne (3 shared papers)Julia Ponomarenko (2 shared papers)Sune Pletscher-Frankild (1 shared paper)Jason Greenbaum (1 shared paper)
- Journals
- Bioinformatics (3 papers)Nucleic Acids Research (2 papers)Publications of the Astronomical Society of the Pacific (1 paper)G3 Genes Genomes Genetics (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
John Beaver
13 papers receiving 797 citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 564
- Computational Theory and Mathematics 108
- Immunology 124
- Aging 10
- Radiology, Nuclear Medicine and Imaging 108
Countries citing papers authored by John Beaver
This map shows the geographic impact of John Beaver'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 John Beaver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Beaver more than expected).
Fields of papers citing papers by John Beaver
This network shows the impact of papers produced by John Beaver. 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 John Beaver. The network helps show where John Beaver may publish in the future.
Co-authors
The 25 scholars most cited alongside John Beaver, 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 | 2008 | 303 | |
| 2 | 2009 | 209 | |
| 3 | 2007 | 133 | |
| 4 | 2007 | 35 | |
| 5 | 2020 | 28 | |
| 6 | 2000 | 24 | |
| 7 | 2013 | 22 | |
| 8 | 2010 | 13 | |
| 9 | 1990 | 13 | |
| 10 | 2010 | 12 | |
| 11 | 2007 | 10 | |
| 12 | 2012 | 5 | |
| 13 | 2013 | 2 | |
| 14 | 2010 | 1 | |
| 15 | Using New-Antiquarian Photographic Processes to Integrate Art and Science | 2017 | 0 |
About John Beaver
John Beaver is a scholar working on Molecular Biology, Astronomy and Astrophysics, Immunology, Museology and Conservation, having authored 15 papers that have together received 810 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Machine Learning in Bioinformatics (3 papers), Gene expression and cancer classification (2 papers), Astrophysics and Star Formation Studies (2 papers), Protein Structure and Dynamics (2 papers), Genomics and Phylogenetic Studies (2 papers), Astro and Planetary Science (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Molecular Biology (564 citations), Computational Theory and Mathematics (108 citations), Immunology (124 citations), Aging (10 citations) and Radiology, Nuclear Medicine and Imaging (108 citations). John Beaver has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Frederick P. Roth, Murat Taşan, Gabriel F. Berriz, Can Cenik, Philip E. Bourne, Julia Ponomarenko, Sune Pletscher-Frankild, Jason Greenbaum, C. Lundegaard and Huynh‐Hoa Bui. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Publications of the Astronomical Society of the Pacific, G3 Genes Genomes Genetics and PLoS ONE.
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.