David B. Teplow

44.9k citations
225 papers · 35.5k · 17 hit papers · h-index 97

Impact in

  • Physiology top 0.01%
    • Alzheimer's disease research and treatments
  • Neurology top 0.05%
    • Neurological diseases and metabolism

Papers in

    • Protein Structure and Dynamics 69
    • Prion Diseases and Protein Misfolding 54
    • Amyloidosis: Diagnosis, Treatment, Outcomes 11
    • Alzheimer's disease research and treatments 156

David B. Teplow

223 papers receiving 34.4k citations

David B. Teplow's Hit Papers

Structure–neurotoxicity relationships of amyloid β-protein oligomers 2009 · 686 citations
6860+12+25Years since publication50010001.5k

Peers

David B. Teplow
Comparison fields: 5 of 186
  • Physiology 21.5k
  • Neurology 3.4k
  • Pharmacology 5.1k
  • Molecular Biology 21.2k
  • Computational Theory and Mathematics 4.7k
Replace Charles Glabe with:
Charles Glabe United States
Konrad Beyreuther Germany
Gerd Multhaup Germany
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Christian Haass Germany
Peter T. Lansbury United States
Bart De Strooper Belgium
Takeshi Iwatsubo Japan
Blas Frangione United States
David B. Teplow relative to Charles Glabe United States Charles Glabe's profile →
Citations per field
00.5×1.6×
Charles Glabe · 1×
Citations per year

Countries citing papers authored by David B. Teplow

Since Specialization
Citations

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

Fields of papers citing papers by David B. Teplow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David B. Teplow. 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 David B. Teplow. The network helps show where David B. Teplow may publish in the future.

Co-authors

The 25 scholars most cited alongside David B. Teplow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David B. Teplow Line = papers co-authored together David B. Teplow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 225 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Amyloid β-peptide is produced by cultured cells during normal metabolism
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19921674
2
A cellular gene encodes scrapie PrP 27-30 protein
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19851254
3
Amyloid β-protein (Aβ) assembly: Aβ40 and Aβ42 oligomerize through distinct pathways
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20021134
4
Amyloid β-Protein Fibrillogenesis
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1997994
5
The 'Arctic' APP mutation (E693G) causes Alzheimer's disease by enhanced Aβ protofibril formation
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2001985
6
Amyloid β-Protein Fibrillogenesis
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1999942
7
Amyloid-β protein oligomerization and the importance of tetramers and dodecamers in the aetiology of Alzheimer's disease
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2009819
8
Protofibrillar intermediates of amyloid beta-protein induce acute electrophysiological changes and progressive neurotoxicity in cortical neurons.
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1999814
9
Protofibrillar Intermediates of Amyloid β-Protein Induce Acute Electrophysiological Changes and Progressive Neurotoxicity in Cortical Neurons
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1999752
10
Progress in molecular biology and translational science
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2008699
11
On the nucleation and growth of amyloid beta-protein fibrils: detection of nuclei and quantitation of rate constants.
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1996693
12
Structure–neurotoxicity relationships of amyloid β-protein oligomers
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2009686
13
Identification and characterization of key kinetic intermediates in amyloid β-protein fibrillogenesis11Edited by F. Cohen
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2001610
14
Neural adhesion molecule L1 as a member of the immunoglobulin superfamily with binding domains similar to fibronectin
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1988607
15
Amyloid β-Protein Assembly and Alzheimer Disease
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2008545
16
Paradigm shifts in Alzheimer's disease and other neurodegenerative disorders: The emerging role of oligomeric assemblies
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2002512
17 1993490
18 1997466
19 1995449
20
Homologies Between Signal Transducing G Proteins and ras Gene Products
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1984446

About David B. Teplow

David B. Teplow is a scholar working on Molecular Biology, Physiology, Computational Theory and Mathematics, Pharmacology and Biomaterials, having authored 225 papers that have together received 35.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (156 papers), Protein Structure and Dynamics (69 papers), Prion Diseases and Protein Misfolding (54 papers), Computational Drug Discovery Methods (30 papers), Cholinesterase and Neurodegenerative Diseases (21 papers), Supramolecular Self-Assembly in Materials (20 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (11 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). The work is most often cited by research in Physiology (21.5k citations), Neurology (3.4k citations), Pharmacology (5.1k citations), Molecular Biology (21.2k citations) and Computational Theory and Mathematics (4.7k citations). David B. Teplow has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Margaret M. Condron, Gal Bitan, Aleksey Lomakin, Dennis J. Selkoe, George B. Benedek, Dominic M. Walsh, Christian Haass, Marina Kirkitadze, Kenjiro Ono and Dean M. Hartley. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochemistry, Neurobiology of Aging and Journal of the American Chemical Society.

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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