Brian E. Howard
Impact in
- Health Informatics top 5%
-
- Meta-analysis and systematic reviews
Papers in
-
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 4
- RNA Research and Splicing 2
- Biomedical Text Mining and Ontologies 2
- RNA modifications and cancer 2
- Co-authors
- Steffen Heber (6 shared papers)Ruchir Shah (9 shared papers)Deepak Mav (5 shared papers)Kristina A. Thayer (3 shared papers)Arpit Tandon (6 shared papers)Jason Phillips (3 shared papers)Andrew A. Rooney (2 shared papers)Vickie R. Walker (2 shared papers)
- Journals
- PLoS ONE (3 papers)Environment International (2 papers)BMC Bioinformatics (2 papers)SLAS DISCOVERY (1 paper)Environmental Science & Technology (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Brian E. Howard
16 papers receiving 558 citations
Peers
Comparison fields: 5 of 128
- Health Informatics 27
- Statistics, Probability and Uncertainty 63
- Health, Toxicology and Mutagenesis 74
- Environmental Chemistry 35
- Small Animals 25
Countries citing papers authored by Brian E. Howard
This map shows the geographic impact of Brian E. Howard'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 Brian E. Howard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian E. Howard more than expected).
Fields of papers citing papers by Brian E. Howard
This network shows the impact of papers produced by Brian E. Howard. 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 Brian E. Howard. The network helps show where Brian E. Howard may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian E. Howard, 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 | 2016 | 120 | |
| 2 | 2018 | 105 | |
| 3 | 2020 | 90 | |
| 4 | 2013 | 83 | |
| 5 | 2006 | 49 | |
| 6 | 2015 | 33 | |
| 7 | 2010 | 28 | |
| 8 | 2019 | 21 | |
| 9 | 2020 | 18 | |
| 10 | 2022 | 9 | |
| 11 | 2025 | 4 | |
| 12 | 2009 | 3 | |
| 13 | 2025 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2007 | 1 | |
| 16 | 2009 | 1 |
About Brian E. Howard
Brian E. Howard is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Infectious Diseases and Oncology, having authored 16 papers that have together received 567 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (4 papers), RNA Research and Splicing (2 papers), Biomedical Text Mining and Ontologies (2 papers), RNA modifications and cancer (2 papers), Plant-Microbe Interactions and Immunity (1 paper), COVID-19 diagnosis using AI (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Health Informatics (27 citations), Statistics, Probability and Uncertainty (63 citations), Health, Toxicology and Mutagenesis (74 citations), Environmental Chemistry (35 citations) and Small Animals (25 citations). Brian E. Howard has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Steffen Heber, Ruchir Shah, Deepak Mav, Kristina A. Thayer, Arpit Tandon, Jason Phillips, Andrew A. Rooney, Vickie R. Walker, B. Alex Merrick and David C. Muddiman. Their work appears in journals such as PLoS ONE, Environment International, BMC Bioinformatics, SLAS DISCOVERY and Environmental Science & Technology.
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.