Amy P. Patterson

3.1k total citations
46 papers, 2.3k citations indexed

About

Amy P. Patterson is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Amy P. Patterson has authored 46 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 13 papers in Immunology and 11 papers in Surgery. Recurrent topics in Amy P. Patterson's work include Immune Response and Inflammation (10 papers), RNA regulation and disease (7 papers) and Cholesterol and Lipid Metabolism (5 papers). Amy P. Patterson is often cited by papers focused on Immune Response and Inflammation (10 papers), RNA regulation and disease (7 papers) and Cholesterol and Lipid Metabolism (5 papers). Amy P. Patterson collaborates with scholars based in United States, Thailand and Australia. Amy P. Patterson's co-authors include Thomas L. Eggerman, Tatyana G. Vishnyakova, Alexander V. Bocharov, Alan T. Remaley, Irina N. Baranova, György Csákó, Roger Kurlander, John A. Stonik, Silvia Santamarina-Fojo and Zhigang Chen and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Amy P. Patterson

45 papers receiving 2.3k citations

Peers

Amy P. Patterson
Patricia A. Detmers United States
Gang Xu China
Anh Hoang Australia
Kuo-Jang Kao United States
M Sata Japan
J. Duba Hungary
Patricia A. Detmers United States
Amy P. Patterson
Citations per year, relative to Amy P. Patterson Amy P. Patterson (= 1×) peers Patricia A. Detmers

Countries citing papers authored by Amy P. Patterson

Since Specialization
Citations

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

Fields of papers citing papers by Amy P. Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy P. Patterson. 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 Amy P. Patterson. The network helps show where Amy P. Patterson may publish in the future.

Co-authorship network of co-authors of Amy P. Patterson

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

All Works

20 of 20 papers shown
1.
Chen, Zhigang, et al.. (2025). APOBEC-1 cofactors regulate APOBEC3-induced mutations in hepatitis B virus. Journal of Virology. 99(2). e0187924–e0187924.
2.
Chen, Zhigang, Thomas L. Eggerman, Alexander V. Bocharov, et al.. (2021). APOBEC3-induced mutation of the hepatitis virus B DNA genome occurs during its viral RNA reverse transcription into (−)-DNA. Journal of Biological Chemistry. 297(2). 100889–100889. 9 indexed citations
3.
Vishnyakova, Tatyana G., Alexander V. Bocharov, Irina N. Baranova, et al.. (2020). SR-BI mediates neutral lipid sorting from LDL to lipid droplets and facilitates their formation. PLoS ONE. 15(10). e0240659–e0240659. 5 indexed citations
4.
Patterson, Amy P., et al.. (2018). At the Crossroads of Science and Society: Careers in Science Policy. Cold Spring Harbor Perspectives in Biology. 10(10). a032854–a032854. 2 indexed citations
5.
Souza, Ana C. P., Alexander V. Bocharov, Irina N. Baranova, et al.. (2016). Antagonism of scavenger receptor CD36 by 5A peptide prevents chronic kidney disease progression in mice independent of blood pressure regulation. Kidney International. 89(4). 809–822. 62 indexed citations
6.
Lauer, Michael S., James P. Kiley, Stephen Mockrin, et al.. (2015). National Heart, Lung, and Blood Institute (NHLBI) Strategic Visioning. Journal of the American College of Cardiology. 65(11). 1130–1133. 12 indexed citations
7.
Lurie, Nicole, et al.. (2013). Research as a Part of Public Health Emergency Response. New England Journal of Medicine. 368(13). 1251–1255. 149 indexed citations
8.
Baranova, Irina N., Alexander V. Bocharov, Tatyana G. Vishnyakova, et al.. (2010). CD36 Is a Novel Serum Amyloid A (SAA) Receptor Mediating SAA Binding and SAA-induced Signaling in Human and Rodent Cells. Journal of Biological Chemistry. 285(11). 8492–8506. 86 indexed citations
9.
Chen, Zhigang, Thomas L. Eggerman, Alexander V. Bocharov, et al.. (2010). Hypermutation induced by APOBEC-1 overexpression can be eliminated. RNA. 16(5). 1040–1052. 19 indexed citations
10.
Chen, Zhigang, Thomas L. Eggerman, & Amy P. Patterson. (2006). ApoB mRNA editing is mediated by a coordinated modulation of multiple apoB mRNA editing enzyme components. American Journal of Physiology-Gastrointestinal and Liver Physiology. 292(1). G53–G65. 23 indexed citations
11.
Liu, Tao, Xinyan Zhang, Shizhi Wang, et al.. (2006). Regulation of Cdx2 expression by promoter methylation, and effects of Cdx2 transfection on morphology and gene expression of human esophageal epithelial cells. Carcinogenesis. 28(2). 488–496. 132 indexed citations
12.
Baranova, Irina N., Tatyana G. Vishnyakova, Alexander V. Bocharov, et al.. (2004). Serum Amyloid A Binding to CLA-1 (CD36 and LIMPII Analogous-1) Mediates Serum Amyloid A Protein-induced Activation of ERK1/2 and p38 Mitogen-activated Protein Kinases. Journal of Biological Chemistry. 280(9). 8031–8040. 152 indexed citations
13.
Remaley, Alan T., Thomas Fairwell, John A. Stonik, et al.. (2003). Synthetic amphipathic helical peptides promote lipid efflux from cells by an ABCA1-dependent and an ABCA1-independent pathway. Journal of Lipid Research. 44(4). 828–836. 166 indexed citations
14.
Patterson, Amy P., Zhigang Chen, Deborah C. Rubin, et al.. (2003). Developmental Regulation of Apolipoprotein B mRNA Editing Is an Autonomous Function of Small Intestine Involving Homeobox Gene Cdx1. Journal of Biological Chemistry. 278(9). 7600–7606. 18 indexed citations
15.
Chen, Zhigang, Thomas L. Eggerman, & Amy P. Patterson. (2001). Phosphorylation is a regulatory mechanism in apolipoprotein B mRNA editing. Biochemical Journal. 357(3). 661–661. 13 indexed citations
16.
Bocharov, Alexander V., Tatyana G. Vishnyakova, Irina N. Baranova, et al.. (2000). Heat Shock Protein 60 Is a High-Affinity High-Density Lipoprotein Binding Protein. Biochemical and Biophysical Research Communications. 277(1). 228–235. 20 indexed citations
17.
Chen, Zhigang, et al.. (2000). Calcium Increases Apolipoprotein B mRNA Editing. Biochemical and Biophysical Research Communications. 277(1). 221–227. 10 indexed citations
18.
Patterson, Amy P., et al.. (1998). Development of Databases and Registries: International Issues. Annals of the New York Academy of Sciences. 862(1). 217–221. 2 indexed citations
19.
Chapman, Louisa E., et al.. (1995). Xenotransplantation and Xenogeneic Infections. New England Journal of Medicine. 333(22). 1498–1501. 118 indexed citations
20.
Cama, Alessandro, Amy P. Patterson, Takashi Kadowaki, et al.. (1990). The Amino Acid Sequence of the Insulin Receptor Is Normal in an Insulin-Resistant Pima Indian*. The Journal of Clinical Endocrinology & Metabolism. 70(4). 1155–1166. 36 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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