Adam J. Simon

4.9k total citations · 1 hit paper
39 papers, 3.1k citations indexed

About

Adam J. Simon is a scholar working on Physiology, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Adam J. Simon has authored 39 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Physiology, 11 papers in Molecular Biology and 10 papers in Psychiatry and Mental health. Recurrent topics in Adam J. Simon's work include Alzheimer's disease research and treatments (20 papers), Dementia and Cognitive Impairment Research (9 papers) and EEG and Brain-Computer Interfaces (7 papers). Adam J. Simon is often cited by papers focused on Alzheimer's disease research and treatments (20 papers), Dementia and Cognitive Impairment Research (9 papers) and EEG and Brain-Computer Interfaces (7 papers). Adam J. Simon collaborates with scholars based in United States, Sweden and Germany. Adam J. Simon's co-authors include Kaj Blennow, William Z. Potter, Holly Soares, John Q. Trojanowski, Eric Siemers, Piotr Lewczuk, Ronald C. Petersen, Leslie M. Shaw, Christopher M. Clark and Virginia M.‐Y. Lee and has published in prestigious journals such as Neuron, Journal of Neuroscience and Analytical Biochemistry.

In The Last Decade

Adam J. Simon

38 papers receiving 3.1k citations

Hit Papers

Cerebrospinal fluid biomarker signature in Alzheimer's di... 2009 2026 2014 2020 2009 500 1000 1.5k

Peers

Adam J. Simon
Enchi Liu United States
Sergey Shcherbinin United States
Tobias Bittner Switzerland
Vitaliy Ovod United States
Aarti R. Shah United States
Chengjie Xiong United States
Vladimir Kepe United States
Enchi Liu United States
Adam J. Simon
Citations per year, relative to Adam J. Simon Adam J. Simon (= 1×) peers Enchi Liu

Countries citing papers authored by Adam J. Simon

Since Specialization
Citations

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

Fields of papers citing papers by Adam J. Simon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam J. Simon. 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 Adam J. Simon. The network helps show where Adam J. Simon may publish in the future.

Co-authorship network of co-authors of Adam J. Simon

This figure shows the co-authorship network connecting the top 25 collaborators of Adam J. Simon. A scholar is included among the top collaborators of Adam J. Simon 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 Adam J. Simon. Adam J. Simon 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.
Devilbiss, David M., et al.. (2015). Exploration of EEG features of Alzheimer’s disease using continuous wavelet transform. Medical & Biological Engineering & Computing. 53(9). 843–855. 33 indexed citations
2.
Llano, Daniel A., Viswanath Devanarayan, & Adam J. Simon. (2012). Evaluation of Plasma Proteomic Data for Alzheimer Disease State Classification and for the Prediction of Progression From Mild Cognitive Impairment to Alzheimer Disease. Alzheimer Disease & Associated Disorders. 27(3). 233–243. 58 indexed citations
3.
Devilbiss, David M., et al.. (2012). Discrete wavelet transform EEG features of Alzheimer'S disease in activated states. PubMed. 2012. 2937–2940. 20 indexed citations
4.
Öhrfelt, Annika, Ulf Andréasson, Adam J. Simon, et al.. (2011). Screening for New Biomarkers for Subcortical Vascular Dementia and Alzheimer’s Disease. Dementia and Geriatric Cognitive Disorders Extra. 1(1). 31–42. 32 indexed citations
6.
Wu, Guoxin, et al.. (2011). Decrease in brain soluble amyloid precursor protein β (sAPPβ) in Alzheimer's disease cortex. Journal of Neuroscience Research. 89(6). 822–832. 26 indexed citations
7.
Das, Raibatak, Robert B. Nachbar, Leah Edelstein‐Keshet, et al.. (2010). Modeling Effect of a γ-Secretase Inhibitor on Amyloid-β Dynamics Reveals Significant Role of an Amyloid Clearance Mechanism. Bulletin of Mathematical Biology. 73(1). 230–247. 9 indexed citations
8.
Cook, Jacquelynn J., Kristin R. Wildsmith, Marie A. Holahan, et al.. (2010). Acute γ-Secretase Inhibition of Nonhuman Primate CNS Shifts Amyloid Precursor Protein (APP) Metabolism from Amyloid-β Production to Alternative APP Fragments without Amyloid-β Rebound. Journal of Neuroscience. 30(19). 6743–6750. 60 indexed citations
9.
Gandy, Sam, Adam J. Simon, John Steele, et al.. (2010). Days to criterion as an indicator of toxicity associated with human Alzheimer amyloid‐β oligomers. Annals of Neurology. 68(2). 220–230. 117 indexed citations
10.
Portelius, Erik, Eric A. Price, Gunnar Brinkmalm, et al.. (2009). A novel pathway for amyloid precursor protein processing. Neurobiology of Aging. 32(6). 1090–1098. 135 indexed citations
11.
Shaw, Leslie M., Hugo Vanderstichele, Małgorzata Knapik-Czajka, et al.. (2009). Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects. Annals of Neurology. 65(4). 403–413. 1598 indexed citations breakdown →
12.
Zetterberg, Henrik, Ulf Andréasson, Oskar Hansson, et al.. (2008). Elevated Cerebrospinal Fluid BACE1 Activity in Incipient Alzheimer Disease. Archives of Neurology. 65(8). 1102–7. 182 indexed citations
13.
Sankaranarayanan, Sethu, Eric A. Price, Guoxin Wu, et al.. (2007). In Vivo β-Secretase 1 Inhibition Leads to Brain Aβ Lowering and Increased α-Secretase Processing of Amyloid Precursor Protein without Effect on Neuregulin-1. Journal of Pharmacology and Experimental Therapeutics. 324(3). 957–969. 83 indexed citations
14.
Stone, David J., Shane Marine, John Majercak, et al.. (2007). High-Throughput Screening by RNA Interference: Control of Two Distinct Types of Variance. Cell Cycle. 6(8). 898–901. 22 indexed citations
15.
Barrow, James C., Kenneth E. Rittle, Harold G. Selnick, et al.. (2007). Design and Synthesis of 2,3,5‐Substituted Imidazolidin‐4‐one Inhibitors of BACE‐1. ChemMedChem. 2(7). 995–999. 31 indexed citations
16.
Coburn, Craig A., Shawn J. Stachel, Thomas G. Steele, et al.. (2006). BACE-1 inhibition by a series of ψ[CH2NH] reduced amide isosteres. Bioorganic & Medicinal Chemistry Letters. 16(14). 3635–3638. 45 indexed citations
17.
Espeseth, Amy S., Qian Huang, Adam Gates, et al.. (2006). A genome wide analysis of ubiquitin ligases in APP processing identifies a novel regulator of BACE1 mRNA levels. Molecular and Cellular Neuroscience. 33(3). 227–235. 23 indexed citations
18.
Brandish, Philip E., Daniel Holder, Paul Hodor, et al.. (2005). Regulation of Gene Expression by Lithium and Depletion of Inositol in Slices of Adult Rat Cortex. Neuron. 45(6). 861–872. 69 indexed citations
19.
Pietrak, Beth, Ming‐Chih Crouthamel, Katherine Tugusheva, et al.. (2005). Biochemical and cell-based assays for characterization of BACE-1 inhibitors. Analytical Biochemistry. 342(1). 144–151. 37 indexed citations
20.
Simon, Adam J. & Albert Libchaber. (1990). Moving interface: The stability tongue and phenomena within. Physical Review A. 41(12). 7090–7093. 15 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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