Jennifer Alamed

813 total citations
7 papers, 666 citations indexed

About

Jennifer Alamed is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Jennifer Alamed has authored 7 papers receiving a total of 666 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 Neurology. Recurrent topics in Jennifer Alamed's work include Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Jennifer Alamed is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Jennifer Alamed collaborates with scholars based in United States. Jennifer Alamed's co-authors include Marcia N. Gordon, Dave Morgan, Donna M. Wilcock, David M. Diamond, Arnon Rosenthal, David H. Wilson, Amyn M. Rojiani, Gil Levkowitz, Melissa Freeman and Jaume Pons and has published in prestigious journals such as Journal of Neuroscience, Nature Protocols and Journal of Alzheimer s Disease.

In The Last Decade

Jennifer Alamed

7 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Alamed United States 7 498 285 186 120 109 7 666
Monika Žilková Slovakia 12 542 1.1× 300 1.1× 236 1.3× 182 1.5× 44 0.4× 19 732
Florian Ermini United States 9 570 1.1× 386 1.4× 274 1.5× 229 1.9× 30 0.3× 16 959
Michelle Pfeifer United States 6 803 1.6× 301 1.1× 327 1.8× 158 1.3× 147 1.3× 7 985
S.D. Styren United States 7 535 1.1× 375 1.3× 285 1.5× 195 1.6× 47 0.4× 7 950
Cristina Nuñez‐Diaz Spain 9 359 0.7× 325 1.1× 147 0.8× 152 1.3× 32 0.3× 13 583
Grace O. Robinson United States 7 462 0.9× 411 1.4× 167 0.9× 133 1.1× 31 0.3× 8 745
Ramsey Najm United States 4 315 0.6× 149 0.5× 215 1.2× 132 1.1× 39 0.4× 4 529
Kevin R. Kay United States 10 437 0.9× 182 0.6× 215 1.2× 245 2.0× 39 0.4× 11 679
John A. Tzaferis United States 5 543 1.1× 577 2.0× 184 1.0× 144 1.2× 74 0.7× 5 917
Abigail G. Herrmann United Kingdom 9 408 0.8× 127 0.4× 209 1.1× 235 2.0× 32 0.3× 10 600

Countries citing papers authored by Jennifer Alamed

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Alamed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Alamed

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Alamed. A scholar is included among the top collaborators of Jennifer Alamed 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 Jennifer Alamed. Jennifer Alamed 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.
Gordon, Marcia N., et al.. (2010). Virus-like Peptide Vaccines Against Aß N-terminal or C-Terminal Domains Reduce Amyloid Deposition in APP Transgenic Mice without Addition of Adjuvant. Journal of Neuroimmune Pharmacology. 5(1). 133–142. 13 indexed citations
2.
Karlnoski, Rachel, Arnon Rosenthal, Dione Kobayashi, et al.. (2009). Suppression of Amyloid Deposition Leads to Long-Term Reductions in Alzheimer's Pathologies in Tg2576 Mice. Journal of Neuroscience. 29(15). 4964–4971. 26 indexed citations
3.
Karlnoski, Rachel, Arnon Rosenthal, Jennifer Alamed, et al.. (2008). Deglycosylated Anti-Aβ Antibody Dose–Response Effects on Pathology and Memory in APP Transgenic Mice. Journal of Neuroimmune Pharmacology. 3(3). 187–197. 18 indexed citations
4.
Morgan, Dave, Sanjay Munireddy, Jennifer Alamed, et al.. (2008). Apparent Behavioral Benefits of Tau Overexpression in P301L Tau Transgenic Mice. Journal of Alzheimer s Disease. 15(4). 605–614. 35 indexed citations
5.
Alamed, Jennifer, Donna M. Wilcock, David M. Diamond, Marcia N. Gordon, & Dave Morgan. (2006). Two-day radial-arm water maze learning and memory task; robust resolution of amyloid-related memory deficits in transgenic mice. Nature Protocols. 1(4). 1671–1679. 198 indexed citations
6.
Wilcock, Donna M., Jennifer Alamed, Paul E. Gottschall, et al.. (2006). Deglycosylated Anti-Amyloid-β Antibodies Eliminate Cognitive Deficits and Reduce Parenchymal Amyloid with Minimal Vascular Consequences in Aged Amyloid Precursor Protein Transgenic Mice. Journal of Neuroscience. 26(20). 5340–5346. 126 indexed citations
7.
Wilcock, Donna M., Amyn M. Rojiani, Arnon Rosenthal, et al.. (2004). Passive Amyloid Immunotherapy Clears Amyloid and Transiently Activates Microglia in a Transgenic Mouse Model of Amyloid Deposition. Journal of Neuroscience. 24(27). 6144–6151. 250 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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