Jay Duffner
Impact in
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- Hedgehog Signaling Pathway Studies
- Advanced Biosensing Techniques and Applications
- Advanced biosensing and bioanalysis techniques
- Epigenetics and DNA Methylation
- Chemical Synthesis and Analysis
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Advanced Biosensing Techniques and Applications 2
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- Click Chemistry and Applications 2
- Synthetic Organic Chemistry Methods 1
- Co-authors
- Angela N. Koehler (7 shared papers)Stuart L. Schreiber (4 shared papers)Paul A. Clemons (1 shared paper)Timothy A. Lewis (2 shared papers)Ralph Weissleder (1 shared paper)Stanley Y. Shaw (1 shared paper)Carlos Tassa (1 shared paper)Lee F. Peng (1 shared paper)
- Journals
- The Journal of Cell Biology (1 paper)Journal of Lipid Research (1 paper)Biochemistry (1 paper)Nature Chemical Biology (1 paper)Bioconjugate Chemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Jay Duffner
9 papers receiving 726 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 611
- Radiology, Nuclear Medicine and Imaging 126
- Biomaterials 65
- Organic Chemistry 112
- Oncology 91
Countries citing papers authored by Jay Duffner
This map shows the geographic impact of Jay Duffner'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 Jay Duffner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Duffner more than expected).
Fields of papers citing papers by Jay Duffner
This network shows the impact of papers produced by Jay Duffner. 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 Jay Duffner. The network helps show where Jay Duffner may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Duffner, 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 | 241 | |
| 2 | 2009 | 163 | |
| 3 | 2006 | 108 | |
| 4 | 2006 | 84 | |
| 5 | 2007 | 39 | |
| 6 | 2009 | 37 | |
| 7 | 2023 | 32 | |
| 8 | 2007 | 21 | |
| 9 | 2007 | 19 |
About Jay Duffner
Jay Duffner is a scholar working on Molecular Biology, Organic Chemistry, Radiology, Nuclear Medicine and Imaging, Surgery and Endocrinology, Diabetes and Metabolism, having authored 9 papers that have together received 744 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Cholesterol and Lipid Metabolism (2 papers), Click Chemistry and Applications (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Synthetic Organic Chemistry Methods (1 paper), Diet, Metabolism, and Disease (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Molecular Biology (611 citations), Radiology, Nuclear Medicine and Imaging (126 citations), Biomaterials (65 citations), Organic Chemistry (112 citations) and Oncology (91 citations). Jay Duffner has collaborated with scholars based in United States. Frequent co-authors include Angela N. Koehler, Stuart L. Schreiber, Paul A. Clemons, Timothy A. Lewis, Ralph Weissleder, Stanley Y. Shaw, Carlos Tassa, Lee F. Peng, Xiang Wang and Kazuo Nakai. Their work appears in journals such as The Journal of Cell Biology, Journal of Lipid Research, Biochemistry, Nature Chemical Biology and Bioconjugate Chemistry.
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.