Matthew A. Kennedy

1.9k total citations · 1 hit paper
16 papers, 1.6k citations indexed

About

Matthew A. Kennedy is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Matthew A. Kennedy has authored 16 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Surgery and 5 papers in Oncology. Recurrent topics in Matthew A. Kennedy's work include Cholesterol and Lipid Metabolism (6 papers), Drug Transport and Resistance Mechanisms (4 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Matthew A. Kennedy is often cited by papers focused on Cholesterol and Lipid Metabolism (6 papers), Drug Transport and Resistance Mechanisms (4 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Matthew A. Kennedy collaborates with scholars based in United States, Netherlands and Japan. Matthew A. Kennedy's co-authors include Peter A. Edwards, Paul T. Tarr, Ángel Baldán, Kotoka Nakamura, Joy S. Frank, Omar L. Francone, Michael C. Fishbein, Puiying A. Mak, Martin Bard and Nobuyoshi Shimizu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Cell Metabolism.

In The Last Decade

Matthew A. Kennedy

16 papers receiving 1.5k citations

Hit Papers

ABCG1 has a critical role in mediating cholesterol efflux... 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew A. Kennedy United States 13 1.0k 857 556 264 173 16 1.6k
Ella Born United States 22 660 0.6× 702 0.8× 374 0.7× 132 0.5× 127 0.7× 36 1.2k
Elena Boudyguina United States 18 1.1k 1.1× 819 1.0× 421 0.8× 267 1.0× 358 2.1× 29 1.7k
Carrie B. Welch United States 10 541 0.5× 834 1.0× 155 0.3× 200 0.8× 176 1.0× 13 1.8k
Serge Monier France 21 892 0.9× 771 0.9× 126 0.2× 156 0.6× 213 1.2× 32 1.7k
C Paraskeva United Kingdom 17 192 0.2× 1.0k 1.2× 606 1.1× 378 1.4× 79 0.5× 21 1.9k
Russell F. Jacoby United States 17 346 0.3× 703 0.8× 734 1.3× 423 1.6× 63 0.4× 28 2.0k
P M Laplaud France 18 645 0.6× 462 0.5× 116 0.2× 422 1.6× 536 3.1× 40 1.7k
Debra Cromley United States 17 628 0.6× 1.1k 1.3× 140 0.3× 132 0.5× 182 1.1× 22 1.9k
Jane Bond United Kingdom 24 191 0.2× 998 1.2× 661 1.2× 208 0.8× 312 1.8× 51 2.0k
Dean Gilham United States 20 310 0.3× 774 0.9× 134 0.2× 92 0.3× 208 1.2× 39 1.4k

Countries citing papers authored by Matthew A. Kennedy

Since Specialization
Citations

This map shows the geographic impact of Matthew A. Kennedy'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 Matthew A. Kennedy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew A. Kennedy more than expected).

Fields of papers citing papers by Matthew A. Kennedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew A. Kennedy. 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 Matthew A. Kennedy. The network helps show where Matthew A. Kennedy may publish in the future.

Co-authorship network of co-authors of Matthew A. Kennedy

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Kennedy. A scholar is included among the top collaborators of Matthew A. Kennedy 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 Matthew A. Kennedy. Matthew A. Kennedy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Harper, Kathleen, Ted M. Clark, Lin Ding, & Matthew A. Kennedy. (2018). Representational Use on a Lab Question by Modeling Workshop Participants. The Physics Video Demonstration Database (Cornell University). 164–167. 1 indexed citations
2.
Cunningham, David, Tiffany Talabere, Natalie Bir, et al.. (2009). Significant contributions of the extraembryonic membranes and maternal genotype to the placental pathology in heterozygous Nsdhl deficient female embryos. Human Molecular Genetics. 19(2). 364–373. 3 indexed citations
3.
Kennedy, Matthew A., Kotoka Nakamura, Ángel Baldán, et al.. (2005). ABCG1 has a critical role in mediating cholesterol efflux to HDL and preventing cellular lipid accumulation. Cell Metabolism. 1(2). 121–131. 705 indexed citations breakdown →
4.
Burg, Harrold A. van den, Christian A.E.M. Spronk, Sjef Boeren, et al.. (2004). Binding of the AVR4 Elicitor of Cladosporium fulvum to Chitotriose Units Is Facilitated by Positive Allosteric Protein-Protein Interactions. Journal of Biological Chemistry. 279(16). 16786–16796. 62 indexed citations
5.
Nakamura, Kotoka, et al.. (2004). Expression and Regulation of Multiple Murine ATP-binding Cassette Transporter G1 mRNAs/Isoforms That Stimulate Cellular Cholesterol Efflux to High Density Lipoprotein. Journal of Biological Chemistry. 279(44). 45980–45989. 136 indexed citations
6.
Edwards, Peter A., Matthew A. Kennedy, & Puiying A. Mak. (2002). LXRs;. Vascular Pharmacology. 38(4). 249–256. 204 indexed citations
7.
Kennedy, Matthew A., Paul T. Tarr, Ioannis Xénarios, et al.. (2002). Characterization of the human ABCG1 gene. Liver X receptor activates an internal promoter that produces a novel transcript encoding an alternative form of the protein.. Journal of Biological Chemistry. 277(19). 17375–17375. 18 indexed citations
8.
Kennedy, Matthew A. & Martin Bard. (2001). Positive and negative regulation of squalene synthase (ERG9), an ergosterol biosynthetic gene, in Saccharomyces cerevisiae. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1517(2). 177–189. 45 indexed citations
9.
Kennedy, Matthew A., Paul T. Tarr, Ioannis Xénarios, et al.. (2001). Characterization of the Human ABCG1 Gene. Journal of Biological Chemistry. 276(42). 39438–39447. 202 indexed citations
10.
Crowell, Dring N. & Matthew A. Kennedy. (2001). Identification and functional expression in yeast of a prenylcysteine α-carboxyl methyltransferase gene from Arabidopsis thaliana. Plant Molecular Biology. 45(4). 469–476. 14 indexed citations
12.
Kennedy, Matthew A., Robert J. Barbuch, & Martin Bard. (1999). Transcriptional regulation of the squalene synthase gene (ERG9) in the yeast Saccharomyces cerevisiae. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1445(1). 110–122. 72 indexed citations
13.
Kennedy, Matthew A., et al.. (1996). Photochemistry and Photobiology of lmidazole‐4(5)‐Methylidene Malonic Acid: An Analog of Both E‐ and Z‐Urocanic Acid*. Photochemistry and Photobiology. 64(1). 216–219. 3 indexed citations
14.
Mohammad, Taj, et al.. (1994). PHOTOSENSITIZED INACTTVATION OF INFECTIOUS DNA BY UROCANIC ACID, INDOLEACRYLIC ACID AND RHODIUM COMPLEXES. Photochemistry and Photobiology. 59(2). 189–196. 18 indexed citations
15.
Tessman, Irwin, et al.. (1994). Unusual Kinetics of Uracil Formation in Single and Double-stranded DNA by Deamination of Cytosine in Cyclobutane Pyrimidine Dimers. Journal of Molecular Biology. 235(3). 807–812. 33 indexed citations
16.
Tessman, Irwin & Matthew A. Kennedy. (1991). The two-step model of UV mutagenesis reassessed: deamination of cytosine in cyclobutane dimers as the likely source of the mutations associated with photoreactivation. Molecular and General Genetics MGG. 227(1). 144–148. 27 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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