Eric S. Luth

1.3k total citations
19 papers, 1.1k citations indexed

About

Eric S. Luth is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Eric S. Luth has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 7 papers in Neurology and 6 papers in Molecular Biology. Recurrent topics in Eric S. Luth's work include Parkinson's Disease Mechanisms and Treatments (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Circadian rhythm and melatonin (5 papers). Eric S. Luth is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Circadian rhythm and melatonin (5 papers). Eric S. Luth collaborates with scholars based in United States, Switzerland and Chile. Eric S. Luth's co-authors include Dennis J. Selkoe, Tim Bartels, Ulf Dettmer, Nora C. Kim, Andrew J Newman, Irina G. Stavrovskaya, Bruce S. Kristal, John Sanderson, Victoria E. von Saucken and Rudolf Jaenisch and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Eric S. Luth

19 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric S. Luth United States 11 681 417 402 327 139 19 1.1k
Gilbert Gallardo United States 11 682 1.0× 568 1.4× 506 1.3× 473 1.4× 245 1.8× 16 1.4k
Amber D. Van Laar United States 16 716 1.1× 196 0.5× 445 1.1× 475 1.5× 123 0.9× 21 1.2k
Pierre De Rossi United States 13 291 0.4× 237 0.6× 543 1.4× 241 0.7× 134 1.0× 16 1.0k
Chee Yeun Chung United States 15 678 1.0× 282 0.7× 632 1.6× 656 2.0× 213 1.5× 20 1.4k
Nora Bengoa‐Vergniory United Kingdom 20 636 0.9× 312 0.7× 641 1.6× 392 1.2× 89 0.6× 31 1.4k
Florian Giesert Germany 17 419 0.6× 167 0.4× 446 1.1× 323 1.0× 163 1.2× 26 1.0k
Esther Sammler United Kingdom 15 464 0.7× 239 0.6× 512 1.3× 285 0.9× 268 1.9× 27 1.1k
Chao Peng United States 7 742 1.1× 520 1.2× 369 0.9× 267 0.8× 106 0.8× 12 1.2k
Dayne Beccano-Kelly United Kingdom 13 453 0.7× 265 0.6× 250 0.6× 331 1.0× 156 1.1× 17 890
Peizhou Jiang United States 15 531 0.8× 341 0.8× 328 0.8× 239 0.7× 193 1.4× 26 954

Countries citing papers authored by Eric S. Luth

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. Luth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric S. Luth. 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 Eric S. Luth. The network helps show where Eric S. Luth may publish in the future.

Co-authorship network of co-authors of Eric S. Luth

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

All Works

19 of 19 papers shown
1.
Luth, Eric S., et al.. (2023). Regulation of AMPA receptor trafficking by secreted protein factors. Frontiers in Cellular Neuroscience. 17. 1271169–1271169. 3 indexed citations
3.
Luth, Eric S., et al.. (2023). Sublethal perfluorooctanoic acid and perfluorooctanesulfonic acid delay C. elegans larval development and population growth but do not alter egg hatching. Journal of Toxicology and Environmental Health. 87(1). 22–32. 1 indexed citations
4.
Luth, Eric S., et al.. (2021). The Doublesex/Mab-3 domain transcription factor DMD-10 regulates ASH-dependent behavioral responses. PeerJ. 9. e10892–e10892. 3 indexed citations
5.
Luth, Eric S., et al.. (2021). The WD40-Repeat Protein WDR-20 and the Deubiquitinating Enzyme USP-46 Promote Cell Surface Levels of Glutamate Receptors. Journal of Neuroscience. 41(14). 3082–3093. 3 indexed citations
6.
Luth, Eric S., et al.. (2021). VER/VEGF receptors regulate AMPA receptor surface levels and glutamatergic behavior. PLoS Genetics. 17(2). e1009375–e1009375. 10 indexed citations
7.
Park, Lidia, et al.. (2021). The Snail transcription factor CES-1 regulates glutamatergic behavior in C. elegans. PLoS ONE. 16(2). e0245587–e0245587. 1 indexed citations
8.
Luth, Eric S. & Irina G. Stavrovskaya. (2019). Measuring Mitochondrial Dysfunction Caused by Soluble α-Synuclein Oligomers. Methods in molecular biology. 1948. 183–198. 1 indexed citations
9.
Luth, Eric S., et al.. (2015). The AP2 clathrin adaptor protein complex regulates the abundance of GLR-1 glutamate receptors in the ventral nerve cord ofCaenorhabditis elegans. Molecular Biology of the Cell. 26(10). 1887–1900. 11 indexed citations
10.
Dettmer, Ulf, Andrew J Newman, Frank Soldner, et al.. (2015). Parkinson-causing α-synuclein missense mutations shift native tetramers to monomers as a mechanism for disease initiation. Nature Communications. 6(1). 7314–7314. 245 indexed citations
11.
Luth, Eric S., Irina G. Stavrovskaya, Tim Bartels, Bruce S. Kristal, & Dennis J. Selkoe. (2014). Soluble, Prefibrillar α-Synuclein Oligomers Promote Complex I-dependent, Ca2+-induced Mitochondrial Dysfunction. Journal of Biological Chemistry. 289(31). 21490–21507. 233 indexed citations
12.
Bartels, Tim, Nora C. Kim, Eric S. Luth, & Dennis J. Selkoe. (2014). N-Alpha-Acetylation of α-Synuclein Increases Its Helical Folding Propensity, GM1 Binding Specificity and Resistance to Aggregation. PLoS ONE. 9(7). e103727–e103727. 129 indexed citations
13.
Luth, Eric S., Tim Bartels, Ulf Dettmer, Nora C. Kim, & Dennis J. Selkoe. (2014). Purification of α-Synuclein from Human Brain Reveals an Instability of Endogenous Multimers as the Protein Approaches Purity. Biochemistry. 54(2). 279–292. 66 indexed citations
14.
Dettmer, Ulf, Andrew J Newman, Eric S. Luth, Tim Bartels, & Dennis J. Selkoe. (2013). In Vivo Cross-linking Reveals Principally Oligomeric Forms of α-Synuclein and β-Synuclein in Neurons and Non-neural Cells. Journal of Biological Chemistry. 288(9). 6371–6385. 184 indexed citations
15.
Selkoe, Dennis J., et al.. (2013). Defining the Native State of α-Synuclein. Neurodegenerative Diseases. 13(2-3). 114–117. 37 indexed citations
16.
Liadaki, Kalliopi, Juan Carlos Casar, Eric S. Luth, et al.. (2011). β4 Integrin Marks Interstitial Myogenic Progenitor Cells in Adult Murine Skeletal Muscle. Journal of Histochemistry & Cytochemistry. 60(1). 31–44. 22 indexed citations
17.
Young‐Pearse, Tracy L., et al.. (2010). Biochemical and Functional Interaction of Disrupted-in-Schizophrenia 1 and Amyloid Precursor Protein Regulates Neuronal Migration during Mammalian Cortical Development. Journal of Neuroscience. 30(31). 10431–10440. 77 indexed citations
18.
Luth, Eric S., et al.. (2008). Bone marrow side population cells are enriched for progenitors capable of myogenic differentiation. Journal of Cell Science. 121(9). 1426–1434. 23 indexed citations
19.
Liadaki, Kalliopi, Eric S. Luth, & Louis M. Kunkel. (2007). Co-detection of GFP and Dystrophin in Skeletal Muscle Tissue Sections. BioTechniques. 42(6). 699–700. 13 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026