Karen Duca
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
- Human-Computer Interaction top 5%
Papers in
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- Bioinformatics and Genomic Networks 7
- Gene expression and cancer classification 5
- Ion channel regulation and function 4
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- Data Visualization and Analytics 6
- Co-authors
- Chris North (8 shared papers)Purvi Saraiya (7 shared papers)David A. Thorley‐Lawson (7 shared papers)Vy Lam (2 shared papers)Reinhard Laubenbacher (7 shared papers)Kirk Deitsch (2 shared papers)Peter C. Jordan (2 shared papers)Michael Shapiro (4 shared papers)
- Journals
- PLoS Pathogens (3 papers)Information Visualization (2 papers)Biotechnology and Bioengineering (2 papers)IEEE Transactions on Visualization and Computer Graphics (2 papers)Trends in Immunology (1 paper)
- Partner nations
- United StatesGhanaGermany
In The Last Decade
Karen Duca
32 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 138
- Computer Vision and Pattern Recognition 439
- Human-Computer Interaction 84
- Biophysics 50
- Ecological Modeling 32
- Immunology 139
Countries citing papers authored by Karen Duca
This map shows the geographic impact of Karen Duca'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 Karen Duca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen Duca more than expected).
Fields of papers citing papers by Karen Duca
This network shows the impact of papers produced by Karen Duca. 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 Karen Duca. The network helps show where Karen Duca may publish in the future.
Co-authors
The 25 scholars most cited alongside Karen Duca, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 224 | |
| 2 | 2008 | 126 | |
| 3 | 2006 | 93 | |
| 4 | 2005 | 76 | |
| 5 | 2014 | 72 | |
| 6 | 2006 | 70 | |
| 7 | 2004 | 69 | |
| 8 | 2007 | 53 | |
| 9 | 2008 | 44 | |
| 10 | 2005 | 44 | |
| 11 | 2005 | 37 | |
| 12 | 1990 | 37 | |
| 13 | 2016 | 35 | |
| 14 | 2011 | 28 | |
| 15 | 2008 | 28 | |
| 16 | 2007 | 27 | |
| 17 | 1997 | 25 | |
| 18 | 2001 | 22 | |
| 19 | 2004 | 19 | |
| 20 | 1989 | 19 |
About Karen Duca
Karen Duca is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Oncology, Genetics and Biophysics, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Data Visualization and Analytics (6 papers), Viral-associated cancers and disorders (6 papers), Gene expression and cancer classification (5 papers), Cell Image Analysis Techniques (4 papers), Ion channel regulation and function (4 papers), Immune Cell Function and Interaction (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (439 citations), Human-Computer Interaction (84 citations), Biophysics (50 citations), Ecological Modeling (32 citations) and Immunology (139 citations). Karen Duca has collaborated with scholars based in United States, Ghana and Germany. Frequent co-authors include Chris North, Purvi Saraiya, David A. Thorley‐Lawson, Vy Lam, Reinhard Laubenbacher, Kirk Deitsch, Peter C. Jordan, Michael Shapiro, John Yin and Abdul Salam Jarrah. Their work appears in journals such as PLoS Pathogens, Information Visualization, Biotechnology and Bioengineering, IEEE Transactions on Visualization and Computer Graphics and Trends in Immunology.
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.