Jay Duffner

1.1k total citations
9 papers, 744 citations indexed

About

Jay Duffner is a scholar working on Molecular Biology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jay Duffner has authored 9 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Organic Chemistry and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jay Duffner's work include Monoclonal and Polyclonal Antibodies Research (3 papers), Advanced Biosensing Techniques and Applications (2 papers) and Click Chemistry and Applications (2 papers). Jay Duffner is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), Advanced Biosensing Techniques and Applications (2 papers) and Click Chemistry and Applications (2 papers). Jay Duffner collaborates with scholars based in United States. Jay Duffner's co-authors include Angela N. Koehler, Stuart L. Schreiber, Paul A. Clemons, Timothy A. Lewis, Stanley Y. Shaw, Carlos Tassa, Ralph Weissleder, Anna Mandinova, Lee F. Peng and Xiang Wang and has published in prestigious journals such as The Journal of Cell Biology, Biochemistry and Journal of Neurochemistry.

In The Last Decade

Jay Duffner

9 papers receiving 726 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jay Duffner United States	9	611	126	112	91	67	9	744
Colin V. Gegg United States	12	461 0.8×	142 1.1×	109 1.0×	86 0.9×	34 0.5×	17	728
J.S. Josan United States	14	314 0.5×	136 1.1×	80 0.7×	95 1.0×	63 0.9×	19	546
Liping Xu United States	16	516 0.8×	131 1.0×	96 0.9×	110 1.2×	105 1.6×	39	878
Erika Orbán Hungary	18	496 0.8×	79 0.6×	187 1.7×	185 2.0×	51 0.8×	34	753
Christopher T. Saeui United States	14	379 0.6×	109 0.9×	116 1.0×	65 0.7×	59 0.9×	25	507
Sayumi Yamazoe United States	14	787 1.3×	62 0.5×	85 0.8×	118 1.3×	36 0.5×	31	967
Srinivasa‐Gopalan Sampathkumar United States	17	743 1.2×	136 1.1×	394 3.5×	69 0.8×	59 0.9×	30	977
Rossella Di Stasi Italy	16	377 0.6×	88 0.7×	123 1.1×	89 1.0×	60 0.9×	33	595
Eline Sijbesma Netherlands	14	700 1.1×	63 0.5×	93 0.8×	94 1.0×	28 0.4×	18	841
Marissa Mock United States	8	410 0.7×	109 0.9×	150 1.3×	39 0.4×	80 1.2×	12	569

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-authorship network of co-authors of Jay Duffner

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Duffner. A scholar is included among the top collaborators of Jay Duffner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jay Duffner. Jay Duffner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Freibaum, Brian D., James Messing, Hong Joo Kim, et al.. (2023). Identification of small molecule inhibitors of G3BP-driven stress granule formation. The Journal of Cell Biology. 223(3). 32 indexed citations

Orlando, Lianna, Ramsés Ayala, Lauren R. Kett, et al.. (2009). Phosphorylation of the homer‐binding domain of group I metabotropic glutamate receptors by cyclin‐dependent kinase 5. Journal of Neurochemistry. 110(2). 557–569. 37 indexed citations

Stanton, Benjamin Z., Lee F. Peng, Kazuo Nakai, et al.. (2009). A small molecule that binds Hedgehog and blocks its signaling in human cells. Nature Chemical Biology. 5(3). 154–156. 241 indexed citations

Tassa, Carlos, Jay Duffner, Timothy A. Lewis, et al.. (2009). Binding Affinity and Kinetic Analysis of Targeted Small Molecule-Modified Nanoparticles. Bioconjugate Chemistry. 21(1). 14–19. 163 indexed citations

Nieland, Thomas J.F., Jared T. Shaw, Firoz A. Jaipuri, et al.. (2007). Influence of HDL-cholesterol-elevating drugs on the in vitro activity of the HDL receptor SR-BI. Journal of Lipid Research. 48(8). 1832–1845. 19 indexed citations

Miao, Hua, John A. Tallarico, Hiroyuki Hayakawa, et al.. (2007). Ring-Opening and Ring-Closing Reactions of a Shikimic Acid-Derived Substrate Leading to Diverse Small Molecules. Journal of Combinatorial Chemistry. 9(2). 245–253. 21 indexed citations

Nieland, Thomas J.F., Jared T. Shaw, Firoz A. Jaipuri, et al.. (2007). Identification of the Molecular Target of Small Molecule Inhibitors of HDL Receptor SR-BI Activity^,^,. Biochemistry. 47(1). 460–472. 39 indexed citations

Bradner, James E., Ralph Mazitschek, David Barnes‐Seeman, et al.. (2006). A Robust Small-Molecule Microarray Platform for Screening Cell Lysates. Chemistry & Biology. 13(5). 493–504. 108 indexed citations

Duffner, Jay, Paul A. Clemons, & Angela N. Koehler. (2006). A pipeline for ligand discovery using small-molecule microarrays. Current Opinion in Chemical Biology. 11(1). 74–82. 84 indexed citations

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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