J. Patrick Bardill
Impact in
- Endocrinology top 2%
- Legionella and Acanthamoeba research
- Vibrio bacteria research studies
- Neurology top 10%
- Neurological diseases and metabolism
Papers in
-
- Prion Diseases and Protein Misfolding 3
- Gene Regulatory Network Analysis 2
- Fungal and yeast genetics research 1
-
- Vibrio bacteria research studies 3
- Co-authors
- Brian K. Hammer (5 shared papers)Jennifer L. Miller (1 shared paper)Joseph P. Vogel (1 shared paper)Heather L. True (3 shared papers)Xiaonan Zhao (1 shared paper)David A. Leib (1 shared paper)Julie L. Prior (1 shared paper)David Piwnica-Worms (1 shared paper)
- Journals
- Molecular Microbiology (2 papers)IEEE Transactions on Communications (1 paper)Journal of Virology (1 paper)Genetics (1 paper)Prion (1 paper)
- Partner nations
- United StatesIrelandCzechia
In The Last Decade
J. Patrick Bardill
10 papers receiving 690 citations
Peers
Comparison fields: 5 of 72
- Endocrinology 215
- Neurology 61
- Molecular Biology 458
- Immunology 108
- Genetics 129
Countries citing papers authored by J. Patrick Bardill
This map shows the geographic impact of J. Patrick Bardill'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 J. Patrick Bardill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Patrick Bardill more than expected).
Fields of papers citing papers by J. Patrick Bardill
This network shows the impact of papers produced by J. Patrick Bardill. 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 J. Patrick Bardill. The network helps show where J. Patrick Bardill may publish in the future.
Co-authors
The 16 scholars most cited alongside J. Patrick Bardill, 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 | 2005 | 183 | |
| 2 | 2002 | 150 | |
| 3 | 2009 | 87 | |
| 4 | 2011 | 80 | |
| 5 | 2013 | 78 | |
| 6 | 2012 | 56 | |
| 7 | 2009 | 24 | |
| 8 | 2014 | 22 | |
| 9 | 2009 | 14 | |
| 10 | 2013 | 6 |
About J. Patrick Bardill
J. Patrick Bardill is a scholar working on Molecular Biology, Endocrinology, Biomedical Engineering, Genetics and Immunology, having authored 10 papers that have together received 700 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (3 papers), Vibrio bacteria research studies (3 papers), Molecular Communication and Nanonetworks (3 papers), Wireless Body Area Networks (2 papers), Gene Regulatory Network Analysis (2 papers), Virus-based gene therapy research (1 paper), Microfluidic and Bio-sensing Technologies (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Endocrinology (215 citations), Neurology (61 citations), Molecular Biology (458 citations), Immunology (108 citations) and Genetics (129 citations). J. Patrick Bardill has collaborated with scholars based in United States, Ireland and Czechia. Frequent co-authors include Brian K. Hammer, Jennifer L. Miller, Joseph P. Vogel, Heather L. True, Xiaonan Zhao, David A. Leib, Julie L. Prior, David Piwnica-Worms, Christina M. Pica and Gary D. Luker. Their work appears in journals such as Molecular Microbiology, IEEE Transactions on Communications, Journal of Virology, Genetics and Prion.
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.