Cynthia DeLong

1.8k total citations · 1 hit paper
7 papers, 1.4k citations indexed

About

Cynthia DeLong is a scholar working on Physiology, Molecular Biology and Pharmacology. According to data from OpenAlex, Cynthia DeLong has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 3 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Cynthia DeLong's work include Alzheimer's disease research and treatments (7 papers), Dementia and Cognitive Impairment Research (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Cynthia DeLong is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Dementia and Cognitive Impairment Research (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Cynthia DeLong collaborates with scholars based in United States, France and United Kingdom. Cynthia DeLong's co-authors include Kelly R. Bales, Steven M. Paul, Su Wu, David M. Holtzman, Stephen J. Greene, Ronald B. DeMattos, Kimberley S. Gannon, Jean‐Cosme Dodart, Chantal Mathis and Xin Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Cynthia DeLong

7 papers receiving 1.4k citations

Hit Papers

Immunization reverses memory deficits without reducing br... 2002 2026 2010 2018 2002 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
Cynthia DeLong United States 7 1.3k 457 377 360 353 7 1.4k
Su Wu United States 6 1.1k 0.9× 397 0.9× 417 1.1× 335 0.9× 360 1.0× 12 1.3k
Konstantinos Vekrellis United States 7 1.2k 1.0× 823 1.8× 252 0.7× 348 1.0× 274 0.8× 7 1.8k
Karen Khan United States 11 1.2k 0.9× 475 1.0× 288 0.8× 312 0.9× 297 0.8× 14 1.3k
Hahn-Jun Lee Japan 10 1.2k 1.0× 706 1.5× 231 0.6× 448 1.2× 351 1.0× 13 1.7k
Cuno Kuipéri Belgium 13 936 0.7× 673 1.5× 313 0.8× 423 1.2× 330 0.9× 18 1.7k
Emi Hama Japan 8 1.6k 1.3× 794 1.7× 310 0.8× 568 1.6× 458 1.3× 8 2.1k
Yvonne Bouter Germany 18 727 0.6× 319 0.7× 271 0.7× 297 0.8× 238 0.7× 38 1.2k
M. McNamara United States 10 1.3k 1.0× 529 1.2× 343 0.9× 502 1.4× 292 0.8× 11 1.6k
Brad T. Casali United States 13 844 0.7× 643 1.4× 562 1.5× 292 0.8× 176 0.5× 14 1.6k
Steven G. Younkin United States 12 1.0k 0.8× 616 1.3× 208 0.6× 260 0.7× 178 0.5× 14 1.4k

Countries citing papers authored by Cynthia DeLong

Since Specialization
Citations

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

Fields of papers citing papers by Cynthia DeLong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cynthia DeLong

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

All Works

7 of 7 papers shown
1.
DeMattos, Ronald B., Patrick C. May, Margaret M. Racke, et al.. (2014). O1‐10‐03: COMBINATION THERAPY WITH A PLAQUE‐SPECIFIC ABETA ANTIBODY AND BACE INHIBITOR RESULTS IN DRAMATIC PLAQUE LOWERING IN AGED PDAPP TRANSGENIC MICE. Alzheimer s & Dementia. 10(4S_Part_1). 6 indexed citations
2.
Hunter, Jesse M., John R. Cirrito, Jessica L. Restivo, et al.. (2012). Emergence of a seizure phenotype in aged apolipoprotein epsilon 4 targeted replacement mice. Brain Research. 1467. 120–132. 32 indexed citations
3.
Zhao, Lingzhi, Suizhen Lin, Kelly R. Bales, et al.. (2009). Macrophage-Mediated Degradation of β-Amyloid via an Apolipoprotein E Isoform-Dependent Mechanism. Journal of Neuroscience. 29(11). 3603–3612. 60 indexed citations
4.
Bales, Kelly R., Feng Liu, Su Wu, et al.. (2009). HumanAPOEIsoform-Dependent Effects on Brain β-Amyloid Levels in PDAPP Transgenic Mice. Journal of Neuroscience. 29(21). 6771–6779. 223 indexed citations
5.
Dodart, Jean‐Cosme, Kelly R. Bales, Kimberley S. Gannon, et al.. (2002). Immunization reverses memory deficits without reducing brain Aβ burden in Alzheimer's disease model. Nature Neuroscience. 5(5). 452–457. 705 indexed citations breakdown →
6.
Fishman, Cindy, David J. Cummins, Kelly R. Bales, et al.. (2001). Statistical aspects of quantitative image analysis of β-amyloid in the APPV717F transgenic mouse model of Alzheimer's disease. Journal of Neuroscience Methods. 108(2). 145–152. 12 indexed citations
7.
Bales, Kelly R., Tatyana Verina, David J. Cummins, et al.. (1999). Apolipoprotein E is essential for amyloid deposition in theAPPV717Ftransgenic mouse model of Alzheimer's disease. Proceedings of the National Academy of Sciences. 96(26). 15233–15238. 399 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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