Brian E. Howard
Impact in
- Health Informatics top 10%
-
- Meta-analysis and systematic reviews
Papers in
-
- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 4
- RNA Research and Splicing 3
- Biomedical Text Mining and Ontologies 2
- Molecular Biology Techniques and Applications 2
- RNA and protein synthesis mechanisms 2
- Co-authors
- Ruchir Shah (10 shared papers)Steffen Heber (9 shared papers)Deepak Mav (5 shared papers)Kristina A. Thayer (3 shared papers)Arpit Tandon (7 shared papers)Jason Phillips (3 shared papers)Vickie R. Walker (2 shared papers)Andrew A. Rooney (2 shared papers)
- Journals
- PLoS ONE (3 papers)BMC Bioinformatics (2 papers)Environment International (2 papers)Theory and applications of categories (1 paper)SLAS DISCOVERY (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Brian E. Howard
18 papers receiving 654 citations
Peers
Comparison fields: 5 of 121
- Health Informatics 17
- Statistics, Probability and Uncertainty 61
- Health, Toxicology and Mutagenesis 77
- Environmental Chemistry 44
- Small Animals 24
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 145 | |
| 2 | 2018 | 120 | |
| 3 | 2020 | 113 | |
| 4 | 2013 | 93 | |
| 5 | 2006 | 49 | |
| 6 | 2015 | 36 | |
| 7 | 2010 | 29 | |
| 8 | 2019 | 23 | |
| 9 | 2020 | 19 | |
| 10 | 2022 | 14 | |
| 11 | 2025 | 8 | |
| 12 | 2009 | 4 | |
| 13 | 2009 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2009 | 1 | |
| 17 | 2007 | 1 | |
| 18 | A Pragmatic Approach to Information Extraction for Systematic Review. | 2018 | 1 |
| 19 | 2009 | 0 | |
| 20 | 2021 | 0 |
About Brian E. Howard
Brian E. Howard is a scholar working on Molecular Biology, Biophysics, Media Technology, Analytical Chemistry and Environmental Chemistry, having authored 21 papers that have together received 663 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (4 papers), RNA Research and Splicing (3 papers), Biomedical Text Mining and Ontologies (2 papers), Molecular Biology Techniques and Applications (2 papers), Topic Modeling (2 papers), RNA and protein synthesis mechanisms (2 papers) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Health Informatics (17 citations), Statistics, Probability and Uncertainty (61 citations), Health, Toxicology and Mutagenesis (77 citations), Environmental Chemistry (44 citations) and Small Animals (24 citations). Brian E. Howard has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Ruchir Shah, Steffen Heber, Deepak Mav, Kristina A. Thayer, Arpit Tandon, Jason Phillips, Vickie R. Walker, Andrew A. Rooney, Bruce Alex Merrick and Heike Winter Sederoff. Their work appears in journals such as PLoS ONE, BMC Bioinformatics, Environment International, Theory and applications of categories and SLAS DISCOVERY.
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.