Suzanne E. Wahrle

2.0k total citations
11 papers, 1.7k citations indexed

About

Suzanne E. Wahrle is a scholar working on Physiology, Surgery and Molecular Biology. According to data from OpenAlex, Suzanne E. Wahrle has authored 11 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 6 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Suzanne E. Wahrle's work include Alzheimer's disease research and treatments (9 papers), Cholesterol and Lipid Metabolism (6 papers) and Drug Transport and Resistance Mechanisms (5 papers). Suzanne E. Wahrle is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Cholesterol and Lipid Metabolism (6 papers) and Drug Transport and Resistance Mechanisms (5 papers). Suzanne E. Wahrle collaborates with scholars based in United States, Japan and Ireland. Suzanne E. Wahrle's co-authors include David M. Holtzman, Maia Parsadanian, Steven M. Paul, Kelly R. Bales, John Denis Fryer, Xianlin Han, Justin Legleiter, Tomasz Kowalewski, Hong Jiang and Chris McLendon and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Genetics.

In The Last Decade

Suzanne E. Wahrle

11 papers receiving 1.6k citations

Peers

Suzanne E. Wahrle
Brandy Wilkinson United States
Sandra Kühl Germany
Walter J. Brecht United States
Vicki Olm United States
Metin Bagli Germany
Suzanne E. Wahrle
Citations per year, relative to Suzanne E. Wahrle Suzanne E. Wahrle (= 1×) peers Alexei R. Koudinov

Countries citing papers authored by Suzanne E. Wahrle

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne E. Wahrle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne E. Wahrle. 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 Suzanne E. Wahrle. The network helps show where Suzanne E. Wahrle may publish in the future.

Co-authorship network of co-authors of Suzanne E. Wahrle

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

All Works

11 of 11 papers shown
1.
Wahrle, Suzanne E., Hong Jiang, Maia Parsadanian, et al.. (2008). Overexpression of ABCA1 reduces amyloid deposition in the PDAPP mouse model of Alzheimer disease. Journal of Clinical Investigation. 118(2). 671–82. 311 indexed citations
2.
Wahrle, Suzanne E., Aarti R. Shah, Anne M. Fagan, et al.. (2007). Apolipoprotein E levels in cerebrospinal fluid and the effects of ABCA1polymorphisms. Molecular Neurodegeneration. 2(1). 7–7. 69 indexed citations
3.
Zerbinatti, Celina, Suzanne E. Wahrle, Hyungjin Kim, et al.. (2006). Apolipoprotein E and Low Density Lipoprotein Receptor-related Protein Facilitate Intraneuronal Aβ42 Accumulation in Amyloid Model Mice. Journal of Biological Chemistry. 281(47). 36180–36186. 100 indexed citations
4.
Wahrle, Suzanne E.. (2006). Las noticias de Madrid (News from Madrid).. Molecular Neurodegeneration. 1(1). 10–10. 3 indexed citations
5.
Wahrle, Suzanne E., Hong Jiang, Maia Parsadanian, et al.. (2005). Deletion of Abca1 Increases Aβ Deposition in the PDAPP Transgenic Mouse Model of Alzheimer Disease. Journal of Biological Chemistry. 280(52). 43236–43242. 274 indexed citations
6.
Morikawa, Masayuki, John Denis Fryer, Patrick M. Sullivan, et al.. (2005). Production and characterization of astrocyte-derived human apolipoprotein E isoforms from immortalized astrocytes and their interactions with amyloid-β. Neurobiology of Disease. 19(1-2). 66–76. 107 indexed citations
7.
Fagan, Anne M., Jennie Taylor, Maia Parsadanian, et al.. (2004). ApoAI Deficiency Results in Marked Reductions in Plasma Cholesterol But No Alterations in Amyloid-β Pathology in a Mouse Model of Alzheimer's Disease-Like Cerebral Amyloidosis. American Journal Of Pathology. 165(4). 1413–1422. 46 indexed citations
8.
Wahrle, Suzanne E., Hong Jiang, Maia Parsadanian, et al.. (2004). ABCA1 Is Required for Normal Central Nervous System ApoE Levels and for Lipidation of Astrocyte-secreted apoE. Journal of Biological Chemistry. 279(39). 40987–40993. 373 indexed citations
9.
Wahrle, Suzanne E. & David M. Holtzman. (2003). Differential metabolism of ApoE isoforms in plasma and CSF. Experimental Neurology. 183(1). 4–6. 16 indexed citations
10.
Wahrle, Suzanne E., Pritam Das, Andrew C. Nyborg, et al.. (2002). Cholesterol-Dependent γ-Secretase Activity in Buoyant Cholesterol-Rich Membrane Microdomains. Neurobiology of Disease. 9(1). 11–23. 353 indexed citations
11.
McGuire, Sarah, Brett W. Carter, Robert Carter, et al.. (2000). Extragenic Suppressors of the nimX2cdc2 Mutation of Aspergillus nidulans Affect Nuclear Division, Septation and Conidiation. Genetics. 156(4). 1573–1584. 7 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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