David S. Bellows
Impact in
- Oncology top 10%
- Viral-associated cancers and disorders
- Epidemiology top 5%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
Papers in
-
- Fungal and yeast genetics research 6
- Bioinformatics and Genomic Networks 4
- 14-3-3 protein interactions 3
- Cell death mechanisms and regulation 2
-
- Cytomegalovirus and herpesvirus research 4
- Herpesvirus Infections and Treatments 3
- Co-authors
- J. Marie Hardwick (6 shared papers)Gary S. Hayward (1 shared paper)Marvin S. Reitz (1 shared paper)Emily H. Cheng (1 shared paper)Hong-Guang Guo (1 shared paper)John Nicholas (1 shared paper)Mike Tyers (4 shared papers)Christopher H. Miller (1 shared paper)
- Journals
- Molecular BioSystems (5 papers)Journal of Virology (3 papers)Tuberculosis (1 paper)Gene (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- New ZealandUnited StatesCanada
In The Last Decade
David S. Bellows
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Oncology 366
- Epidemiology 384
- Infectious Diseases 157
- Developmental Neuroscience 29
- Immunology 150
Countries citing papers authored by David S. Bellows
This map shows the geographic impact of David S. Bellows'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 David S. Bellows with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Bellows more than expected).
Fields of papers citing papers by David S. Bellows
This network shows the impact of papers produced by David S. Bellows. 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 David S. Bellows. The network helps show where David S. Bellows may publish in the future.
Co-authors
The 25 scholars most cited alongside David S. Bellows, 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 | 1997 | 356 | |
| 2 | 2007 | 122 | |
| 3 | 2000 | 117 | |
| 4 | 2010 | 110 | |
| 5 | 2015 | 86 | |
| 6 | 2003 | 78 | |
| 7 | 2002 | 77 | |
| 8 | 2003 | 48 | |
| 9 | 2004 | 46 | |
| 10 | 2013 | 18 | |
| 11 | 2012 | 17 | |
| 12 | 2016 | 12 | |
| 13 | 2012 | 12 | |
| 14 | 2015 | 10 | |
| 15 | 2011 | 8 | |
| 16 | 2013 | 8 | |
| 17 | 2011 | 8 | |
| 18 | 2000 | 4 | |
| 19 | 2014 | 2 | |
| 20 | 2013 | 2 |
About David S. Bellows
David S. Bellows is a scholar working on Molecular Biology, Epidemiology, Pharmacology, Computational Theory and Mathematics and Surgery, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (6 papers), Cytomegalovirus and herpesvirus research (4 papers), Bioinformatics and Genomic Networks (4 papers), 14-3-3 protein interactions (3 papers), Computational Drug Discovery Methods (3 papers), Herpesvirus Infections and Treatments (3 papers), Microbial Natural Products and Biosynthesis (3 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Oncology (366 citations), Epidemiology (384 citations), Infectious Diseases (157 citations), Developmental Neuroscience (29 citations) and Immunology (150 citations). David S. Bellows has collaborated with scholars based in New Zealand, United States and Canada. Frequent co-authors include J. Marie Hardwick, Gary S. Hayward, Marvin S. Reitz, Emily H. Cheng, Hong-Guang Guo, John Nicholas, Mike Tyers, Christopher H. Miller, Ronan O’Toole and Jeffrey R. Sharom. Their work appears in journals such as Molecular BioSystems, Journal of Virology, Tuberculosis, Gene and Journal of Biological Chemistry.
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.