Ben Tripp
Impact in
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- Allergic Rhinitis and Sensitization
- Dermatology top 10%
- Dermatology and Skin Diseases
Papers in
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- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 3
- RNA and protein synthesis mechanisms 1
- Genetics 3
- Genetic Associations and Epidemiology 2
- Co-authors
- Denise Daley (4 shared papers)Scott J. Tebbutt (6 shared papers)David Zamar (3 shared papers)Jian‐Qing He (3 shared papers)Darryl A. Knight (1 shared paper)Anita L. Kozyrskyj (2 shared papers)ANDREW J. SANDFORD (2 shared papers)Yohan Bossé (1 shared paper)
- Journals
- Bioinformatics (5 papers)BioTechniques (2 papers)Journal of Allergy and Clinical Immunology (2 papers)BMC Medical Genomics (1 paper)PubMed (1 paper)
- Partner nations
- CanadaUnited StatesHong Kong
In The Last Decade
Ben Tripp
12 papers receiving 197 citations
Peers
Comparison fields: 5 of 60
- Immunology and Allergy 25
- Dermatology 32
- Physiology 58
- Health Information Management 8
- Biophysics 10
Countries citing papers authored by Ben Tripp
This map shows the geographic impact of Ben Tripp'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 Ben Tripp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Tripp more than expected).
Fields of papers citing papers by Ben Tripp
This network shows the impact of papers produced by Ben Tripp. 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 Ben Tripp. The network helps show where Ben Tripp may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Tripp, 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 | 2009 | 83 | |
| 2 | 2004 | 23 | |
| 3 | 2011 | 17 | |
| 4 | 2010 | 16 | |
| 5 | 2008 | 15 | |
| 6 | Getting data out of the electronic patient record: critical steps in building a data warehouse for decision support. | 1999 | 13 |
| 7 | 2009 | 12 | |
| 8 | 2004 | 11 | |
| 9 | 2006 | 7 | |
| 10 | 2006 | 6 | |
| 11 | 2006 | 4 | |
| 12 | 2009 | 1 | |
| 13 | 2025 | 0 |
About Ben Tripp
Ben Tripp is a scholar working on Molecular Biology, Genetics, Management Information Systems, Health Information Management and Information Systems, having authored 13 papers that have together received 208 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (3 papers), Genetic Associations and Epidemiology (2 papers), RNA and protein synthesis mechanisms (1 paper), Cloud Computing and Resource Management (1 paper), Data Quality and Management (1 paper), Spectroscopy and Chemometric Analyses (1 paper) and Experimental Learning in Engineering (1 paper). The work is most often cited by research in Immunology and Allergy (25 citations), Dermatology (32 citations), Physiology (58 citations), Health Information Management (8 citations) and Biophysics (10 citations). Ben Tripp has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Denise Daley, Scott J. Tebbutt, David Zamar, Jian‐Qing He, Darryl A. Knight, Anita L. Kozyrskyj, ANDREW J. SANDFORD, Yohan Bossé, Teal S. Hallstrand and Catherine Laprise. Their work appears in journals such as Bioinformatics, BioTechniques, Journal of Allergy and Clinical Immunology, BMC Medical Genomics and PubMed.
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.