Jay Duffner

1.1k citations
9 papers · 778 · h-index 9

Impact in

    • Hedgehog Signaling Pathway Studies
    • Advanced Biosensing Techniques and Applications
    • Advanced biosensing and bioanalysis techniques
    • Epigenetics and DNA Methylation
    • Chemical Synthesis and Analysis
    • Monoclonal and Polyclonal Antibodies Research

Papers in

Jay Duffner

9 papers receiving 756 citations

Peers

Jay Duffner
Comparison fields: 5 of 79
  • Molecular Biology 620
  • Radiology, Nuclear Medicine and Imaging 130
  • Biomaterials 68
  • Organic Chemistry 119
  • Oncology 89
Replace Srinivasa‐Gopalan Sampathkumar with:
Srinivasa‐Gopalan Sampathkumar United States
Colin V. Gegg United States
J.S. Josan United States
Annarita Del Gatto Italy
Mitsuko Maeda Japan
Marissa Mock United States
Colin M. Fadzen United States
Ahmad Fawzi Hussain Germany
Mamoru Hatakeyama Japan
Eline Sijbesma Netherlands
Jay Duffner relative to Srinivasa‐Gopalan Sampathkumar United States Srinivasa‐Gopalan Sampathkumar's profile →
Citations per field
00.5×4.5×
Srinivasa‐Gopalan Sampathkumar · 1×
Citations per year

Countries citing papers authored by Jay Duffner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jay Duffner Line = papers co-authored together Jay Duffner links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2009253
2 2009172
3 2006111
4 200687
5 200741
6 202337
7 200937
8 200721
9 200719

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 778 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Click Chemistry and Applications (2 papers), Cholesterol and Lipid Metabolism (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Genetic and rare skin diseases. (1 paper), Gold and Silver Nanoparticles Synthesis and Applications (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Molecular Biology (620 citations), Radiology, Nuclear Medicine and Imaging (130 citations), Biomaterials (68 citations), Organic Chemistry (119 citations) and Oncology (89 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, Carlos Tassa, Ralph Weissleder, Stanley Y. Shaw, Anna Mandinova, Benjamin Z. Stanton and Xiang Wang. Their work appears in journals such as Journal of Lipid Research, The Journal of Cell Biology, Nature Chemical Biology, Journal of Neurochemistry and Biochemistry.

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.

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