Dexter N. Dean

415 total citations
21 papers, 301 citations indexed

About

Dexter N. Dean is a scholar working on Physiology, Molecular Biology and Biomaterials. According to data from OpenAlex, Dexter N. Dean has authored 21 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Physiology, 17 papers in Molecular Biology and 5 papers in Biomaterials. Recurrent topics in Dexter N. Dean's work include Alzheimer's disease research and treatments (19 papers), Prion Diseases and Protein Misfolding (9 papers) and Protein Structure and Dynamics (6 papers). Dexter N. Dean is often cited by papers focused on Alzheimer's disease research and treatments (19 papers), Prion Diseases and Protein Misfolding (9 papers) and Protein Structure and Dynamics (6 papers). Dexter N. Dean collaborates with scholars based in United States. Dexter N. Dean's co-authors include Jennifer C. Lee, Vijayaraghavan Rangachari, Vijayaraghavan Rangachari, Preetam Ghosh, Pratip Rana, Melissa A. Moss, Kayla M. Pate, Ashwin Vaidya, Sarah E. Morgan and Pradipta Das and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Chemical Physics.

In The Last Decade

Dexter N. Dean

21 papers receiving 297 citations

Peers

Dexter N. Dean

PHYSI

BIOMA

NEURO

Melissa Huang United Kingdom

Lenzie Ford United States

Smriti Sangwan United States

Fabrizio Chiti Italy

Tatsuya Ikenoue Japan

Cillian Byrne France

Mark Dulchavsky United States

Pascal Krotee United States

Jason C. Sang United Kingdom

Malin Lindhagen‐Persson Sweden

Melissa Huang United Kingdom

Dexter N. Dean

231 ×1.1

277 ×1.5

PHYSI

40 ×0.9

BIOMA

37 ×0.9

NEURO

28 ×0.8

Citations per year, relative to Dexter N. Dean Dexter N. Dean (= 1×) peers Melissa Huang

Countries citing papers authored by Dexter N. Dean

Since Specialization

Citations

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

Fields of papers citing papers by Dexter N. Dean

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dexter N. Dean. 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 Dexter N. Dean. The network helps show where Dexter N. Dean may publish in the future.

Co-authorship network of co-authors of Dexter N. Dean

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

All Works

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20 of 20 papers shown

Morris, Daniel L., David A. Nyenhuis, Dexter N. Dean, Marie‐Paule Strub, & Nico Tjandra. (2023). Observation of pH-Dependent Residual Structure in the Pmel17 Repeat Domain and the Implication for Its Amyloid Formation. Biochemistry. 62(22). 3222–3233. 3 indexed citations

Dean, Dexter N. & Jennifer C. Lee. (2022). Monitoring Kinetics of pH-Dependent Aggregation and Disaggregation of the Pmel17 Repeat Domain. Methods in molecular biology. 2551. 79–93. 1 indexed citations

Dean, Dexter N. & Jennifer C. Lee. (2021). Purification and characterization of an amyloidogenic repeat domain from the functional amyloid Pmel17. Protein Expression and Purification. 187. 105944–105944. 6 indexed citations

Dean, Dexter N., et al.. (2021). Biophysical characteristics of lipid‐induced Aβ oligomers correlate to distinctive phenotypes in transgenic mice. The FASEB Journal. 35(2). e21318–e21318. 10 indexed citations

Dean, Dexter N. & Jennifer C. Lee. (2020). Modulating functional amyloid formation via alternative splicing of the premelanosomal protein PMEL17. Journal of Biological Chemistry. 295(21). 7544–7553. 13 indexed citations

Flynn, Jessica D., et al.. (2020). Terminal Alkynes as Raman Probes of α‐Synuclein in Solution and in Cells. ChemBioChem. 21(11). 1582–1586. 13 indexed citations

Dean, Dexter N. & Jennifer C. Lee. (2020). Defining an amyloid link Between Parkinson’s disease and melanoma. Proceedings of the National Academy of Sciences. 117(37). 22671–22673. 15 indexed citations

Dean, Dexter N. & Jennifer C. Lee. (2019). pH-Dependent fibril maturation of a Pmel17 repeat domain isoform revealed by tryptophan fluorescence. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1867(10). 961–969. 28 indexed citations

Dean, Dexter N., et al.. (2019). Cysteine-rich granulin-3 rapidly promotes amyloid-β fibrils in both redox states. Biochemical Journal. 476(5). 859–873. 8 indexed citations

10.

Xi, Wenhui, et al.. (2019). Large fatty acid-derived Aβ42 oligomers form ring-like assemblies. The Journal of Chemical Physics. 150(7). 75101–75101. 6 indexed citations

11.

Rangachari, Vijayaraghavan, Dexter N. Dean, Pratip Rana, Ashwin Vaidya, & Preetam Ghosh. (2018). Cause and consequence of Aβ – Lipid interactions in Alzheimer disease pathogenesis. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1860(9). 1652–1662. 40 indexed citations

12.

Dean, Dexter N., et al.. (2018). Propagation of an Aβ Dodecamer Strain Involves a Three-Step Mechanism and a Key Intermediate. Biophysical Journal. 114(3). 539–549. 7 indexed citations

13.

Dean, Dexter N., Pradipta Das, Pratip Rana, et al.. (2017). Strain-specific Fibril Propagation by an Aβ Dodecamer. Scientific Reports. 7(1). 40787–40787. 33 indexed citations

14.

Dean, Dexter N., Pradipta Das, Pratip Rana, et al.. (2017). Strain-Specific Propagation by an Amyloid-Beta Dodecamer. Biophysical Journal. 112(3). 362a–362a. 1 indexed citations

15.

Rana, Pratip, et al.. (2017). Fatty Acid Concentration and Phase Transitions Modulate Aβ Aggregation Pathways. Scientific Reports. 7(1). 10370–10370. 10 indexed citations

16.

Das, Pradipta, Dexter N. Dean, Fei Liu, et al.. (2017). Aqueous RAFT Synthesis of Glycopolymers for Determination of Saccharide Structure and Concentration Effects on Amyloid β Aggregation. Biomacromolecules. 18(10). 3359–3366. 23 indexed citations

17.

Dean, Dexter N., Kayla M. Pate, Melissa A. Moss, & Vijayaraghavan Rangachari. (2016). Conformational Dynamics of Specific Aβ Oligomers Govern Their Ability To Replicate and Induce Neuronal Apoptosis. Biochemistry. 55(15). 2238–2250. 21 indexed citations

18.

Dean, Dexter N., Amit Kumar, Kayla M. Pate, Melissa A. Moss, & Vijayaraghavan Rangachari. (2015). Self-Propagative Replication of Amyloid-β Oligomers in Alzheimer Disease. Biophysical Journal. 108(2). 66a–66a. 1 indexed citations

19.

Kumar, Amit, Kayla M. Pate, Melissa A. Moss, Dexter N. Dean, & Vijayaraghavan Rangachari. (2014). Self-Propagative Replication of Aβ Oligomers Suggests Potential Transmissibility in Alzheimer Disease. PLoS ONE. 9(11). e111492–e111492. 26 indexed citations

20.

Palmer, Chris, et al.. (2013). Stem Mutants in the N-terminal Domain of the Phage P22 Tailspike Protein. American journal of microbiological research. 2(1). 1–7. 2 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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