Annette Uittenbogaard

2.1k total citations
16 papers, 1.2k citations indexed

About

Annette Uittenbogaard is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Annette Uittenbogaard has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Cell Biology. Recurrent topics in Annette Uittenbogaard's work include Caveolin-1 and cellular processes (5 papers), Yersinia bacterium, plague, ectoparasites research (4 papers) and Cholesterol and Lipid Metabolism (3 papers). Annette Uittenbogaard is often cited by papers focused on Caveolin-1 and cellular processes (5 papers), Yersinia bacterium, plague, ectoparasites research (4 papers) and Cholesterol and Lipid Metabolism (3 papers). Annette Uittenbogaard collaborates with scholars based in United States, France and Japan. Annette Uittenbogaard's co-authors include Eric J. Smart, Ivan S. Yuhanna, Alison Blair, Philip W. Shaul, Xiang‐An Li, Sergey V. Matveev, Weifei Zhu, Theresa M. Guerin, Jeanie Kincer and Melinda E. Wilson and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Annette Uittenbogaard

16 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annette Uittenbogaard United States 12 383 317 208 193 177 16 1.2k
Theresa M. Guerin United States 9 427 1.1× 197 0.6× 203 1.0× 105 0.5× 88 0.5× 16 1.1k
Géraldine Daneau Belgium 13 283 0.7× 72 0.2× 32 0.2× 59 0.3× 160 0.9× 24 833
Oliver Krenkel Germany 14 625 1.6× 367 1.2× 11 0.1× 181 0.9× 95 0.5× 24 2.7k
Matthew Gage United Kingdom 16 390 1.0× 171 0.5× 9 0.0× 146 0.8× 114 0.6× 32 972
Kerstin Herzer Germany 19 484 1.3× 115 0.4× 15 0.1× 142 0.7× 50 0.3× 76 1.8k
María Eugenia Sáez Spain 21 455 1.2× 187 0.6× 6 0.0× 189 1.0× 145 0.8× 67 1.3k
Patrice M. Becker United States 21 478 1.2× 132 0.4× 61 0.3× 32 0.2× 55 0.3× 47 1.3k
John C. Kermode United States 16 432 1.1× 250 0.8× 59 0.3× 180 0.9× 120 0.7× 40 1.2k
David T. Berg United States 23 522 1.4× 146 0.5× 21 0.1× 68 0.4× 176 1.0× 47 1.6k
Shigenori Yamamoto Japan 19 699 1.8× 278 0.9× 20 0.1× 112 0.6× 33 0.2× 94 1.3k

Countries citing papers authored by Annette Uittenbogaard

Since Specialization
Citations

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

Fields of papers citing papers by Annette Uittenbogaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Annette Uittenbogaard. 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 Annette Uittenbogaard. The network helps show where Annette Uittenbogaard may publish in the future.

Co-authorship network of co-authors of Annette Uittenbogaard

This figure shows the co-authorship network connecting the top 25 collaborators of Annette Uittenbogaard. A scholar is included among the top collaborators of Annette Uittenbogaard 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 Annette Uittenbogaard. Annette Uittenbogaard 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.
Brewer, M. Kathryn, et al.. (2020). Polyglucosan body structure in Lafora disease. Carbohydrate Polymers. 240. 116260–116260. 23 indexed citations
2.
Brewer, M. Kathryn, Annette Uittenbogaard, Dyann M. Segvich, et al.. (2019). Targeting Pathogenic Lafora Bodies in Lafora Disease Using an Antibody-Enzyme Fusion. Cell Metabolism. 30(4). 689–705.e6. 62 indexed citations
3.
Gelfand, Bradley D., Charles B. Wright, Young‐Hee Kim, et al.. (2015). Iron Toxicity in the Retina Requires Alu RNA and the NLRP3 Inflammasome. Cell Reports. 11(11). 1686–1693. 70 indexed citations
4.
Ye, Zhan, Annette Uittenbogaard, Tanya Myers‐Morales, et al.. (2014). Caspase-3 Mediates the Pathogenic Effect of Yersinia pestis YopM in Liver of C57BL/6 Mice and Contributes to YopM's Function in Spleen. PLoS ONE. 9(11). e110956–e110956. 20 indexed citations
5.
Uittenbogaard, Annette, Tanya Myers‐Morales, Christine Wulff, et al.. (2013). Temperature-dependence of yadBC phenotypes in Yersinia pestis. Microbiology. 160(2). 396–405. 5 indexed citations
6.
Uittenbogaard, Annette, R. Lakshman Chelvarajan, Tanya Myers‐Morales, et al.. (2012). Toward a molecular pathogenic pathway for Yersinia pestis YopM. Frontiers in Cellular and Infection Microbiology. 2. 155–155. 11 indexed citations
7.
Ye, Zhan, Annette Uittenbogaard, Donald A. Cohen, et al.. (2010). Distinct CCR2+Gr1+Cells Control Growth of theYersinia pestisΔyopMMutant in Liver and Spleen during Systemic Plague. Infection and Immunity. 79(2). 674–687. 25 indexed citations
8.
Dressman, James, Jeanie Kincer, Sergey V. Matveev, et al.. (2003). HIV protease inhibitors promote atherosclerotic lesion formation independent of dyslipidemia by increasing CD36-dependent cholesteryl ester accumulation in macrophages. Journal of Clinical Investigation. 111(3). 389–397. 140 indexed citations
9.
Gong, Ming, Melinda E. Wilson, Thomas H. Kelly, et al.. (2003). HDL-associated estradiol stimulates endothelial NO synthase and vasodilation in an SR-BI–dependent manner. Journal of Clinical Investigation. 111(10). 1579–1587. 128 indexed citations
10.
Gong, Ming, Melinda E. Wilson, Thomas J. Kelly, et al.. (2003). HDL-associated estradiol stimulates endothelial NO synthase and vasodilation in an SR-BI–dependent manner. Journal of Clinical Investigation. 111(10). 1579–1587. 8 indexed citations
11.
Dressman, James, Jeanie Kincer, Sergey V. Matveev, et al.. (2003). HIV protease inhibitors promote atherosclerotic lesion formation independent of dyslipidemia by increasing CD36-dependent cholesteryl ester accumulation in macrophages. Journal of Clinical Investigation. 111(3). 389–397. 128 indexed citations
12.
Li, Xiang‐An, William B. Titlow, Brian A. Jackson, et al.. (2002). High Density Lipoprotein Binding to Scavenger Receptor, Class B, Type I Activates Endothelial Nitric-oxide Synthase in a Ceramide-dependent Manner. Journal of Biological Chemistry. 277(13). 11058–11063. 130 indexed citations
13.
Matveev, Sergey V., et al.. (2001). Caveolin‐1 negatively regulates SR‐BI mediated selective uptake of high‐density lipoprotein‐derived cholesteryl ester. European Journal of Biochemistry. 268(21). 5609–5616. 62 indexed citations
14.
Matveev, Sergey V., et al.. (2001). Caveolin-1 negatively regulates SR-BI mediated selective uptake of high-density lipoprotein-derived cholesteryl ester. European Journal of Biochemistry. 268(21). 5609–5616. 6 indexed citations
15.
Lasley, Robert D., Prakash Narayan, Annette Uittenbogaard, & Eric J. Smart. (2000). Activated Cardiac Adenosine A1 Receptors Translocate Out of Caveolae. Journal of Biological Chemistry. 275(6). 4417–4421. 102 indexed citations
16.
Uittenbogaard, Annette, Philip W. Shaul, Ivan S. Yuhanna, Alison Blair, & Eric J. Smart. (2000). High Density Lipoprotein Prevents Oxidized Low Density Lipoprotein-induced Inhibition of Endothelial Nitric-oxide Synthase Localization and Activation in Caveolae. Journal of Biological Chemistry. 275(15). 11278–11283. 254 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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