G. William Rebeck

13.9k total citations
138 papers, 11.2k citations indexed

About

G. William Rebeck is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, G. William Rebeck has authored 138 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Physiology, 59 papers in Molecular Biology and 46 papers in Cellular and Molecular Neuroscience. Recurrent topics in G. William Rebeck's work include Alzheimer's disease research and treatments (95 papers), Nuclear Receptors and Signaling (27 papers) and Neuroscience and Neuropharmacology Research (19 papers). G. William Rebeck is often cited by papers focused on Alzheimer's disease research and treatments (95 papers), Nuclear Receptors and Signaling (27 papers) and Neuroscience and Neuropharmacology Research (19 papers). G. William Rebeck collaborates with scholars based in United States, Japan and Switzerland. G. William Rebeck's co-authors include Bradley T. Hyman, Steven M. Greenberg, Dudley K. Strickland, Hyang‐Sook Hoe, Jean Paul Vonsattel, Mary Jo LaDu, Mark P. Burns, Teresa Gómez‐Isla, Bradley T. Hyman and Howard West and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

G. William Rebeck

136 papers receiving 11.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. William Rebeck United States 62 6.8k 4.4k 2.1k 1.8k 1.7k 138 11.2k
Mikio Shoji Japan 55 7.0k 1.0× 5.5k 1.2× 2.7k 1.2× 1.8k 1.0× 1.9k 1.1× 293 12.0k
Hiroshi Mori Japan 54 6.6k 1.0× 4.6k 1.0× 2.0k 0.9× 1.7k 0.9× 3.0k 1.7× 273 12.3k
Takahisa Kanekiyo United States 49 4.9k 0.7× 3.4k 0.8× 1.4k 0.6× 2.3k 1.3× 819 0.5× 107 9.2k
Abhay P. Sagare United States 46 7.0k 1.0× 4.7k 1.1× 1.9k 0.9× 6.7k 3.7× 2.5k 1.4× 78 16.0k
Shigeo Murayama Japan 61 5.8k 0.8× 5.4k 1.2× 2.9k 1.3× 2.8k 1.6× 6.0k 3.5× 409 14.2k
Douglas G. Walker United States 64 6.4k 0.9× 3.9k 0.9× 2.0k 0.9× 5.1k 2.9× 2.9k 1.7× 173 13.7k
Zhihong Huang China 33 2.5k 0.4× 5.6k 1.3× 1.6k 0.8× 1.9k 1.1× 1.1k 0.6× 135 12.5k
Mary Jo LaDu United States 51 7.1k 1.0× 3.8k 0.9× 2.0k 0.9× 1.9k 1.1× 474 0.3× 105 9.6k
Kelly R. Bales United States 66 12.1k 1.8× 6.1k 1.4× 3.9k 1.8× 3.8k 2.1× 1.4k 0.8× 126 17.1k
Christopher B. Eckman United States 50 9.3k 1.4× 5.9k 1.3× 2.3k 1.1× 1.5k 0.8× 791 0.5× 78 12.6k

Countries citing papers authored by G. William Rebeck

Since Specialization
Citations

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

Fields of papers citing papers by G. William Rebeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. William Rebeck. 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 G. William Rebeck. The network helps show where G. William Rebeck may publish in the future.

Co-authorship network of co-authors of G. William Rebeck

This figure shows the co-authorship network connecting the top 25 collaborators of G. William Rebeck. A scholar is included among the top collaborators of G. William Rebeck 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 G. William Rebeck. G. William Rebeck 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.
2.
Turner, Raymond Scott, et al.. (2025). Mouse models of Anti-Aβ immunotherapies. Molecular Neurodegeneration. 20(1). 57–57.
3.
Johnson, Kory R., Adrian Lita, Alexandra Beilina, et al.. (2025). Triglyceride metabolism controls inflammation and microglial phenotypes associated with APOE4. Cell Reports. 44(7). 115961–115961. 3 indexed citations
4.
Mandelblatt, Jeanne S., Michael H. Antoni, Traci N. Bethea, et al.. (2024). Gerotherapeutics: aging mechanism–based pharmaceutical and behavioral interventions to reduce cancer racial and ethnic disparities. JNCI Journal of the National Cancer Institute. 117(3). 406–422. 3 indexed citations
5.
Vicini, Stefano, et al.. (2024). APOE4 genotype and aging impair injury-induced microglial behavior in brain slices, including toward Aβ, through P2RY12. Molecular Neurodegeneration. 19(1). 24–24. 7 indexed citations
6.
Nelson, Matthew N., et al.. (2022). Independent APOE4 knock‐in mouse models display reduced brain APOE protein, altered neuroinflammation, and simplification of dendritic spines. Journal of Neurochemistry. 163(3). 247–259. 10 indexed citations
7.
Dyk, Kathleen Van, Xingtao Zhou, Brent J. Small, et al.. (2021). Protective Effects of APOE ε2 Genotype on Cognition in Older Breast Cancer Survivors: The Thinking and Living With Cancer Study. JNCI Cancer Spectrum. 5(2). 8 indexed citations
8.
Fernandez, Harvey R., et al.. (2020). Cancer Chemotherapy Related Cognitive Impairment and the Impact of the Alzheimer’s Disease Risk Factor APOE. Cancers. 12(12). 3842–3842. 38 indexed citations
9.
Lanfranco, Maria Fe, et al.. (2020). ApoE Lipidation as a Therapeutic Target in Alzheimer’s Disease. International Journal of Molecular Sciences. 21(17). 6336–6336. 120 indexed citations
10.
Shinohara, Mitsuru, Takahisa Kanekiyo, Masaya Tachibana, et al.. (2020). APOE2 is associated with longevity independent of Alzheimer’s disease. eLife. 9. 48 indexed citations
11.
Rebeck, G. William, et al.. (2019). Metabolic Disturbances of a High-Fat Diet Are Dependent on APOE Genotype and Sex. eNeuro. 6(5). ENEURO.0267–19.2019. 37 indexed citations
12.
Lee, Yi‐Chien, et al.. (2018). Development of a Human APOE Knock-in Mouse Model for Study of Cognitive Function After Cancer Chemotherapy. Neurotoxicity Research. 35(2). 291–303. 29 indexed citations
13.
Chernick, Dustin, Angela Jeong, Suresh Kumar Swaminathan, et al.. (2018). High‐density lipoprotein mimetic peptide 4F mitigates amyloid‐β‐induced inhibition of apolipoprotein E secretion and lipidation in primary astrocytes and microglia. Journal of Neurochemistry. 147(5). 647–662. 42 indexed citations
14.
Rebeck, G. William, et al.. (2018). The Synergistic Effects of APOE Genotype and Obesity on Alzheimer’s Disease Risk. International Journal of Molecular Sciences. 20(1). 63–63. 41 indexed citations
15.
DiBattista, Amanda M., Sonya B. Dumanis, Joshua Newman, & G. William Rebeck. (2016). Identification and modification of amyloid-independent phenotypes of APOE4 mice. Experimental Neurology. 280. 97–105. 26 indexed citations
16.
Youmans, Katherine L., Leon M. Tai, Evelyn Nwabuisi‐Heath, et al.. (2012). APOE4-specific Changes in Aβ Accumulation in a New Transgenic Mouse Model of Alzheimer Disease. Journal of Biological Chemistry. 287(50). 41774–41786. 214 indexed citations
17.
Hoe, Hyang‐Sook, et al.. (2006). FE65 Interaction with the ApoE Receptor ApoEr2. Journal of Biological Chemistry. 281(34). 24521–24530. 61 indexed citations
18.
Rebeck, G. William. (2003). INDUCTION OF CHOLESTEROL EFFLUX IN THE CNS. 2 indexed citations
19.
Guénette, Suzanne Y., Yang Chang, Bradley T. Hyman, Rudolph E. Tanzi, & G. William Rebeck. (2002). Low‐density lipoprotein receptor‐related protein levels and endocytic function are reduced by overexpression of the FE65 adaptor protein, FE65L1. Journal of Neurochemistry. 82(4). 755–762. 22 indexed citations
20.
Nitsch, Roger M., Steven M. Greenberg, Ulrich Finckh, et al.. (1998). Genetic association of an ( 2-macroglobulin (Val1000lle) polymorphism and Alzheimer's disease. Human Molecular Genetics. 7(12). 1953–1956. 128 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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