David B. Teplow
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 67
- Prion Diseases and Protein Misfolding 53
- Amyloidosis: Diagnosis, Treatment, Outcomes 11
- Physiology 155
- Alzheimer's disease research and treatments 155
- Co-authors
- Margaret M. Condron (39 shared papers)Gal Bitan (23 shared papers)Aleksey Lomakin (17 shared papers)Dennis J. Selkoe (24 shared papers)George B. Benedek (13 shared papers)Dominic M. Walsh (12 shared papers)Marina Kirkitadze (5 shared papers)Christian Haass (23 shared papers)
- Journals
- Journal of Biological Chemistry (32 papers)Proceedings of the National Academy of Sciences (19 papers)Biochemistry (11 papers)Neurobiology of Aging (9 papers)Journal of the American Chemical Society (7 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
David B. Teplow
220 papers receiving 33.0k citations
David B. Teplow's Hit Papers
Peers
Comparison fields: 5 of 185
- Physiology 20.8k
- Neurology 3.2k
- Molecular Biology 20.3k
- Pharmacology 4.7k
- Computational Theory and Mathematics 4.5k
Countries citing papers authored by David B. Teplow
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
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.
All Works
Showing the 20 most-cited of 221 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 Hit paper breakdown → | 1992 | 1604 |
| 2 | A cellular gene encodes scrapie PrP 27-30 protein Hit paper breakdown → | 1985 | 1190 |
| 3 | Amyloid β-protein (Aβ) assembly: Aβ40 and Aβ42 oligomerize through distinct pathways Hit paper breakdown → | 2002 | 1109 |
| 4 | Amyloid β-Protein Fibrillogenesis Hit paper breakdown → | 1997 | 963 |
| 5 | The 'Arctic' APP mutation (E693G) causes Alzheimer's disease by enhanced Aβ protofibril formation Hit paper breakdown → | 2001 | 951 |
| 6 | Amyloid β-Protein Fibrillogenesis Hit paper breakdown → | 1999 | 910 |
| 7 | Amyloid-β protein oligomerization and the importance of tetramers and dodecamers in the aetiology of Alzheimer's disease Hit paper breakdown → | 2009 | 806 |
| 8 | Protofibrillar intermediates of amyloid beta-protein induce acute electrophysiological changes and progressive neurotoxicity in cortical neurons. Hit paper breakdown → | 1999 | 780 |
| 9 | Protofibrillar Intermediates of Amyloid β-Protein Induce Acute Electrophysiological Changes and Progressive Neurotoxicity in Cortical Neurons Hit paper breakdown → | 1999 | 711 |
| 10 | Structure–neurotoxicity relationships of amyloid β-protein oligomers Hit paper breakdown → | 2009 | 671 |
| 11 | On the nucleation and growth of amyloid beta-protein fibrils: detection of nuclei and quantitation of rate constants. Hit paper breakdown → | 1996 | 668 |
| 12 | Progress in molecular biology and translational science Hit paper breakdown → | 2008 | 660 |
| 13 | Identification and characterization of key kinetic intermediates in amyloid β-protein fibrillogenesis11Edited by F. Cohen Hit paper breakdown → | 2001 | 594 |
| 14 | Neural adhesion molecule L1 as a member of the immunoglobulin superfamily with binding domains similar to fibronectin Hit paper breakdown → | 1988 | 588 |
| 15 | Amyloid β-Protein Assembly and Alzheimer Disease Hit paper breakdown → | 2008 | 530 |
| 16 | 2002 | 496 | |
| 17 | 1993 | 473 | |
| 18 | 1997 | 449 | |
| 19 | 1995 | 439 | |
| 20 | Homologies Between Signal Transducing G Proteins and ras Gene Products Hit paper breakdown → | 1984 | 414 |
About David B. Teplow
David B. Teplow is a scholar working on Molecular Biology, Physiology, Computational Theory and Mathematics, Pharmacology and Biomaterials, having authored 221 papers that have together received 33.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (155 papers), Protein Structure and Dynamics (67 papers), Prion Diseases and Protein Misfolding (53 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 (20.8k citations), Neurology (3.2k citations), Molecular Biology (20.3k citations), Pharmacology (4.7k citations) and Computational Theory and Mathematics (4.5k 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, Marina Kirkitadze, Christian Haass, 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.