Jyl Boline
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
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- Functional Brain Connectivity Studies
- Neural dynamics and brain function
Papers in
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- Biomedical Text Mining and Ontologies 3
- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 1
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- Scientific Computing and Data Management 3
- Co-authors
- Ilya Zaslavsky (3 shared papers)Richard Baldock (3 shared papers)Maryann E. Martone (6 shared papers)Allan MacKenzie‐Graham (2 shared papers)Chris Lau (2 shared papers)Luis Puelles (2 shared papers)Seth Ruffins (2 shared papers)G. Allan Johnson (2 shared papers)
- Journals
- PLoS Computational Biology (2 papers)Frontiers in Neuroscience (2 papers)Frontiers in Neuroinformatics (2 papers)Experimental Neurology (1 paper)Physiological Genomics (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Jyl Boline
12 papers receiving 276 citations
Peers
Comparison fields: 5 of 73
- Biophysics 61
- Cognitive Neuroscience 84
- Neurology 25
- Radiology, Nuclear Medicine and Imaging 60
- Information Systems and Management 17
Countries citing papers authored by Jyl Boline
This map shows the geographic impact of Jyl Boline'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 Jyl Boline with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jyl Boline more than expected).
Fields of papers citing papers by Jyl Boline
This network shows the impact of papers produced by Jyl Boline. 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 Jyl Boline. The network helps show where Jyl Boline may publish in the future.
Co-authors
The 25 scholars most cited alongside Jyl Boline, 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 | 2011 | 82 | |
| 2 | 2006 | 53 | |
| 3 | 2014 | 42 | |
| 4 | 2008 | 26 | |
| 5 | 2007 | 23 | |
| 6 | 2014 | 14 | |
| 7 | Data federation in the Biomedical Informatics Research Network: tools for semantic annotation and query of distributed multiscale brain data. | 2008 | 14 |
| 8 | 2011 | 12 | |
| 9 | 2007 | 11 | |
| 10 | 2010 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2021 | 1 | |
| 13 | 2025 | 0 |
About Jyl Boline
Jyl Boline is a scholar working on Molecular Biology, Information Systems and Management, Cognitive Neuroscience, Biophysics and Artificial Intelligence, having authored 13 papers that have together received 281 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (3 papers), Biomedical Text Mining and Ontologies (3 papers), Functional Brain Connectivity Studies (3 papers), Cell Image Analysis Techniques (3 papers), Bioinformatics and Genomic Networks (2 papers), Semantic Web and Ontologies (2 papers), Gene expression and cancer classification (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Biophysics (61 citations), Cognitive Neuroscience (84 citations), Neurology (25 citations), Radiology, Nuclear Medicine and Imaging (60 citations) and Information Systems and Management (17 citations). Jyl Boline has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Ilya Zaslavsky, Richard Baldock, Maryann E. Martone, Allan MacKenzie‐Graham, Chris Lau, Luis Puelles, Seth Ruffins, G. Allan Johnson, Fons J. Verbeek and Lydia Ng. Their work appears in journals such as PLoS Computational Biology, Frontiers in Neuroscience, Frontiers in Neuroinformatics, Experimental Neurology and Physiological Genomics.
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.