David M. Smith

9.0k total citations · 1 hit paper
166 papers, 6.7k citations indexed

About

David M. Smith is a scholar working on Molecular Biology, Finance and Cell Biology. According to data from OpenAlex, David M. Smith has authored 166 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 21 papers in Finance and 21 papers in Cell Biology. Recurrent topics in David M. Smith's work include Ubiquitin and proteasome pathways (30 papers), Financial Markets and Investment Strategies (18 papers) and Endoplasmic Reticulum Stress and Disease (16 papers). David M. Smith is often cited by papers focused on Ubiquitin and proteasome pathways (30 papers), Financial Markets and Investment Strategies (18 papers) and Endoplasmic Reticulum Stress and Disease (16 papers). David M. Smith collaborates with scholars based in United States, United Kingdom and Canada. David M. Smith's co-authors include Q. Ping Dou, Alfred L. Goldberg, C. Conrad Johnston, Yifan Cheng, Sangkil Nam, Shih‐Chung Chang, Raymond T. Anderson, M. R. A. Khairi, Walter E. Nance and Ke Won Kang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

David M. Smith

159 papers receiving 6.4k citations

Hit Papers

Genetic Factors in Determ... 1973 2026 1990 2008 1973 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David M. Smith 3.1k 1.1k 1.1k 902 721 166 6.7k
Jay M. McDonald 4.8k 1.6× 1.3k 1.2× 853 0.8× 472 0.5× 302 0.4× 187 8.9k
Robert Morris 2.2k 0.7× 1.2k 1.0× 269 0.2× 659 0.7× 247 0.3× 195 6.0k
Heiko Müller 4.9k 1.6× 2.5k 2.3× 516 0.5× 481 0.5× 643 0.9× 113 8.0k
Maria Domenica Cappellini 2.8k 0.9× 652 0.6× 529 0.5× 1.4k 1.6× 382 0.5× 565 20.8k
Edward R. Sauter 3.2k 1.1× 1.6k 1.4× 409 0.4× 477 0.5× 1.1k 1.5× 198 7.0k
Yan Liu 3.1k 1.0× 725 0.6× 292 0.3× 1.5k 1.7× 911 1.3× 243 7.3k
Candace S. Johnson 2.9k 0.9× 1.8k 1.6× 299 0.3× 616 0.7× 3.6k 4.9× 176 8.1k
Qing Li 6.1k 2.0× 2.1k 1.9× 683 0.6× 545 0.6× 736 1.0× 300 10.2k
Li Su 2.4k 0.8× 1.5k 1.4× 397 0.4× 743 0.8× 618 0.9× 248 6.3k
R K Ross 3.1k 1.0× 3.2k 2.9× 361 0.3× 822 0.9× 1.5k 2.1× 77 10.9k

Countries citing papers authored by David M. Smith

Since Specialization
Citations

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

Fields of papers citing papers by David M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Smith. A scholar is included among the top collaborators of David M. Smith 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 David M. Smith. David M. Smith 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.
Mathews, Christopher, Alexandra Sargent, Kate Cuschieri, et al.. (2025). HPValidate—human papillomavirus testing with DNA and mRNA assays on self-collected samples in cervical screening: comparison of test characteristics on three self-sampling devices. British Journal of Cancer. 133(5). 665–673. 1 indexed citations
2.
Anderson, Raymond T., et al.. (2025). Hyperactive 20 S proteasome enhances proteostasis and ERAD in C. elegans via degradation of intrinsically disordered proteins. Science Advances. 11(41). eadx3014–eadx3014.
3.
Schupp, Jane E., et al.. (2024). Therapeutic potential of archaeal unfoldase PANet and the gateless T20S proteasome in P23H rhodopsin retinitis pigmentosa mice. PLoS ONE. 19(10). e0308058–e0308058. 1 indexed citations
4.
Smith, David M., et al.. (2023). High resolution structures define divergent and convergent mechanisms of archaeal proteasome activation. Communications Biology. 6(1). 733–733. 5 indexed citations
5.
Smith, David M., et al.. (2023). Structure, Function, and Allosteric Regulation of the 20S Proteasome by the 11S/PA28 Family of Proteasome Activators. Biomolecules. 13(9). 1326–1326. 10 indexed citations
6.
Smith, David M., et al.. (2023). Minimal mechanistic component of HbYX-dependent proteasome activation that reverses impairment by neurodegenerative-associated oligomers. Communications Biology. 6(1). 725–725. 9 indexed citations
7.
Smith, David M., et al.. (2022). Proteasome activator 28γ (PA28γ) allosterically activates trypsin-like proteolysis by binding to the α-ring of the 20S proteasome. Journal of Biological Chemistry. 298(8). 102140–102140. 14 indexed citations
8.
Anderson, Raymond T., et al.. (2022). Hyperactivation of the proteasome in Caenorhabditis elegans protects against proteotoxic stress and extends lifespan. Journal of Biological Chemistry. 298(10). 102415–102415. 13 indexed citations
9.
Smith, David M.. (2018). Could a Common Mechanism of Protein Degradation Impairment Underlie Many Neurodegenerative Diseases?. SHILAP Revista de lepidopterología. 12. 2211794867–2211794867. 27 indexed citations
10.
Smith, David M., et al.. (2018). Conformational switching in the coiled-coil domains of a proteasomal ATPase regulates substrate processing. Nature Communications. 9(1). 2374–2374. 23 indexed citations
11.
Anderson, Raymond T., et al.. (2018). A common mechanism of proteasome impairment by neurodegenerative disease-associated oligomers. Nature Communications. 9(1). 1097–1097. 272 indexed citations
12.
Quezada-Ruiz, Carlos, et al.. (2016). Difference in intraocular pressure following involuntary switch from bimatoprost 0.03% to bimatoprost 0.01% in glaucoma patients.. Investigative Ophthalmology & Visual Science. 57(12). 2101–2101. 1 indexed citations
13.
Kiss, Szilárd, Pravin U. Dugel, Kathleen Wilson, et al.. (2014). Treatment Patterns and Associated Costs of Anti-VEGF Therapy for Neovascular Age-Related Macular Degeneration. Investigative Ophthalmology & Visual Science. 55(13). 5596–5596. 2 indexed citations
14.
Smith, David M. & Margaret Greenfields. (2013). Gypsies and Travellers in Housing. Policy Press eBooks. 2 indexed citations
15.
Smith, David M., et al.. (2010). Arsenic trioxide induces a beclin-1-independent autophagic pathway via modulation of SnoN/SkiL expression in ovarian carcinoma cells. Cell Death and Differentiation. 17(12). 1867–1881. 113 indexed citations
16.
Smith, David M.. (2008). OHSAS 18001 proporciona un enfoque de seguridad y salud en el trabajo para los sistemas de gestión. 8(4). 32–35. 1 indexed citations
17.
Smith, David M., et al.. (1997). Option Listing Effects and the Role of Confounding Events. 36(4). 15–23. 3 indexed citations
18.
Small, Peter, et al.. (1995). Importance of reflux symptoms in functional dyspepsia.. Gut. 36(2). 189–192. 53 indexed citations
19.
Ledig, F. Thomas & David M. Smith. (1981). The influence of silvicultural practices on genetic improvement: height growth and weevil resistance in eastern white pine.. Silvae genetica. 30(1). 30–36. 7 indexed citations
20.
Cox, V. S., et al.. (1976). The effects of light deprivation on the development of the gonads in the dog. Journal of the American Animal Hospital Association. 12(4). 528–530. 1 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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