David Schubert

24.2k total citations · 9 hit papers
196 papers, 20.4k citations indexed

About

David Schubert is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, David Schubert has authored 196 papers receiving a total of 20.4k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Molecular Biology, 67 papers in Physiology and 45 papers in Cellular and Molecular Neuroscience. Recurrent topics in David Schubert's work include Alzheimer's disease research and treatments (55 papers), Neuroscience and Neuropharmacology Research (22 papers) and Cholinesterase and Neurodegenerative Diseases (22 papers). David Schubert is often cited by papers focused on Alzheimer's disease research and treatments (55 papers), Neuroscience and Neuropharmacology Research (22 papers) and Cholinesterase and Neurodegenerative Diseases (22 papers). David Schubert collaborates with scholars based in United States, Germany and Switzerland. David Schubert's co-authors include Yuanbin Liu, Pamela Maher, Richard Dargusch, Yutaka Sagara, Hideo Kimura, M LaCorbiere, Roland Riek, Gary Fiskum, Christian Behl and Daniel A. Peterson and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

David Schubert

196 papers receiving 19.7k citations

Hit Papers

3D structure of Alzheimer's amyloi... 1974 2026 1991 2008 2005 2002 1997 2009 2001 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Schubert United States 73 11.0k 6.8k 3.3k 2.1k 2.0k 196 20.4k
Karl H. Weisgraber United States 87 12.5k 1.1× 9.3k 1.4× 2.8k 0.8× 1.8k 0.9× 1.7k 0.9× 237 28.3k
Mario Salmona Italy 67 9.6k 0.9× 4.7k 0.7× 1.4k 0.4× 956 0.5× 1.4k 0.7× 437 17.1k
Hilal A. Lashuel Switzerland 82 10.2k 0.9× 8.6k 1.3× 4.0k 1.2× 2.4k 1.1× 1.1k 0.5× 227 20.9k
Robert D. Moir United States 67 8.9k 0.8× 10.2k 1.5× 1.8k 0.5× 2.1k 1.0× 2.4k 1.2× 121 19.6k
D. Allan Butterfield United States 88 11.1k 1.0× 10.2k 1.5× 2.5k 0.8× 1.5k 0.7× 2.8k 1.4× 285 24.2k
Gerd Multhaup Germany 78 13.3k 1.2× 18.5k 2.7× 3.7k 1.1× 2.1k 1.0× 4.0k 2.0× 180 27.0k
Dale E. Bredesen United States 83 16.6k 1.5× 5.2k 0.8× 6.6k 2.0× 4.2k 2.0× 1.7k 0.9× 232 28.9k
Blas Frangione United States 91 15.0k 1.4× 16.0k 2.3× 2.8k 0.9× 1.6k 0.8× 2.2k 1.1× 355 27.9k
Anthony L. Fink United States 86 17.8k 1.6× 9.1k 1.3× 2.6k 0.8× 3.0k 1.5× 889 0.4× 231 28.7k
Nigel M. Hooper United Kingdom 73 9.2k 0.8× 4.3k 0.6× 1.9k 0.6× 1.9k 0.9× 1.5k 0.8× 281 18.2k

Countries citing papers authored by David Schubert

Since Specialization
Citations

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

Fields of papers citing papers by David Schubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Schubert

This figure shows the co-authorship network connecting the top 25 collaborators of David Schubert. A scholar is included among the top collaborators of David Schubert 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 Schubert. David Schubert 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.
Zahid, Saadia, Alcir Luiz Dafré, António Currais, et al.. (2023). The Geroprotective Drug Candidate CMS121 Alleviates Diabetes, Liver Inflammation, and Renal Damage in db/db Leptin Receptor Deficient Mice. International Journal of Molecular Sciences. 24(7). 6828–6828. 6 indexed citations
2.
Currais, António, Ling Huang, Joshua Goldberg, et al.. (2019). Elevating acetyl-CoA levels reduces aspects of brain aging. eLife. 8. 108 indexed citations
3.
Currais, António, Marguerite Prior, David Y. Lo, et al.. (2012). Diabetes exacerbates amyloid and neurovascular pathology in aging‐accelerated mice. Aging Cell. 11(6). 1017–1026. 54 indexed citations
4.
Narumoto, Osamu, Yukiko Matsuo, Masahiro Sakaguchi, et al.. (2012). Suppressive effects of a pyrazole derivative of curcumin on airway inflammation and remodeling. Experimental and Molecular Pathology. 93(1). 18–25. 18 indexed citations
5.
Chen, Qi, Marguerite Prior, Richard Dargusch, et al.. (2011). A Novel Neurotrophic Drug for Cognitive Enhancement and Alzheimer's Disease. PLoS ONE. 6(12). e27865–e27865. 103 indexed citations
6.
Maji, Samir K., Marilyn H. Perrin, M.R. Sawaya, et al.. (2009). Functional Amyloids As Natural Storage of Peptide Hormones in Pituitary Secretory Granules. Science. 325(5938). 328–332. 872 indexed citations breakdown →
7.
Burdo, Joseph, David Schubert, & Pamela Maher. (2007). Glutathione production is regulated via distinct pathways in stressed and non-stressed cortical neurons. Brain Research. 1189. 12–22. 32 indexed citations
8.
Liu, Yuanbin, Christiane Ritter, Roland Riek, & David Schubert. (2006). The formation of bioactive amyloid species by prion proteins in vitro and in cells. Neuroscience Letters. 406(3). 200–204. 1 indexed citations
9.
Schubert, David, Bert Maier, Lars Morawietz, Veit Krenn, & Thomas Kamradt. (2004). Immunization with Glucose-6-Phosphate Isomerase Induces T Cell-Dependent Peripheral Polyarthritis in Genetically Unaltered Mice. The Journal of Immunology. 172(7). 4503–4509. 108 indexed citations
10.
Maher, Pamela & David Schubert. (1995). Schwannoma‐Derived Growth Factor Interacts with the Epidermal Growth Factor Receptor. Journal of Neurochemistry. 65(4). 1895–1898. 6 indexed citations
12.
Schubert, David & F. George Klier. (1991). Substratum regulation of neurite fasciculation. Brain Research. 549(2). 305–310. 5 indexed citations
13.
Kimura, Hideo, Wolfgang Fischer, & David Schubert. (1990). Structure, expression and function of a schwannoma-derived growth factor. Nature. 348(6298). 257–260. 129 indexed citations
14.
Schubert, David, et al.. (1990). Insulin-like growth factor 1 supports embryonic nerve cell survival. Biochemical and Biophysical Research Communications. 172(1). 54–60. 33 indexed citations
15.
Schubert, David. (1989). The biological roles of heparan sulfate proteoglycans in the nervous system. Neurobiology of Aging. 10(5). 504–506. 4 indexed citations
16.
Schubert, David & M LaCorbiere. (1986). Role of purpurin in neural retina histogenesis.. PubMed. 217B. 3–16. 8 indexed citations
17.
Schubert, David & M LaCorbiere. (1985). Isolation of an adhesion-mediating protein from chick neural retina adherons.. The Journal of Cell Biology. 101(3). 1071–1077. 53 indexed citations
18.
Schubert, David & M LaCorbiere. (1985). Isolation of a cell-surface receptor for chick neural retina adherons.. The Journal of Cell Biology. 100(1). 56–63. 49 indexed citations
19.
Schubert, David, M LaCorbiere, F. George Klier, & J. H. Steinbach. (1980). The modulation of neurotransmitter synthesis by steroid hormones and insulin. Brain Research. 190(1). 67–79. 95 indexed citations
20.
Schubert, David. (1976). Proteins secreted by clonal cell lines. Experimental Cell Research. 102(2). 329–340. 22 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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