Mark L. Schultz

747 total citations
19 papers, 570 citations indexed

About

Mark L. Schultz is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Mark L. Schultz has authored 19 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 7 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Mark L. Schultz's work include Lysosomal Storage Disorders Research (13 papers), Cellular transport and secretion (5 papers) and Calcium signaling and nucleotide metabolism (5 papers). Mark L. Schultz is often cited by papers focused on Lysosomal Storage Disorders Research (13 papers), Cellular transport and secretion (5 papers) and Calcium signaling and nucleotide metabolism (5 papers). Mark L. Schultz collaborates with scholars based in United States, Japan and Russia. Mark L. Schultz's co-authors include Luis Tecedor, Beverly L. Davidson, Michael Chang, Andrew P. Lieberman, Kelsey L. Krus, Colleen S. Stein, Vikram G. Shakkottai, Ravi Chopra, Derek Dang and Ling Qi and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Mark L. Schultz

17 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark L. Schultz United States 11 301 197 194 161 116 19 570
Elida Gomero United States 10 275 0.9× 402 2.0× 265 1.4× 168 1.0× 80 0.7× 15 702
Kyle Peake Canada 11 355 1.2× 173 0.9× 106 0.5× 104 0.6× 95 0.8× 15 582
Katrin Kollmann Germany 16 453 1.5× 331 1.7× 393 2.0× 147 0.9× 224 1.9× 20 830
Reini E.N. van der Welle United States 5 120 0.4× 266 1.4× 193 1.0× 133 0.8× 118 1.0× 5 540
Daniel K. Borger United States 8 257 0.9× 176 0.9× 145 0.7× 89 0.6× 37 0.3× 14 516
Mukarram El-Banna United States 7 412 1.4× 217 1.1× 222 1.1× 87 0.5× 104 0.9× 8 571
Annette Hille‐Rehfeld Germany 16 312 1.0× 479 2.4× 489 2.5× 88 0.5× 136 1.2× 24 825
Daniëlle te Vruchte United Kingdom 12 505 1.7× 448 2.3× 162 0.8× 194 1.2× 127 1.1× 18 939
Jennifer A. Wiseman United States 8 383 1.3× 216 1.1× 212 1.1× 86 0.5× 100 0.9× 9 553
Susanna Lualdi Italy 19 371 1.2× 376 1.9× 106 0.5× 153 1.0× 28 0.2× 25 690

Countries citing papers authored by Mark L. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Mark L. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark L. Schultz. 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 Mark L. Schultz. The network helps show where Mark L. Schultz may publish in the future.

Co-authorship network of co-authors of Mark L. Schultz

This figure shows the co-authorship network connecting the top 25 collaborators of Mark L. Schultz. A scholar is included among the top collaborators of Mark L. Schultz 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 Mark L. Schultz. Mark L. Schultz 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.
Ashfeld, Brandon L., Paul Helquist, Olaf Wiest, et al.. (2024). Mutant induced neurons and humanized mice enable identification of Niemann-Pick type C1 proteostatic therapies. JCI Insight. 9(20).
2.
Li, Wenping, Liang‐Wei Gong, Swetha Gowrishankar, et al.. (2024). Endogenous Protein–Protein Interaction Network of the NPC Cholesterol Transporter 1 in the Cerebral Cortex. Journal of Proteome Research. 23(8). 3174–3187.
3.
Schultz, Mark L., et al.. (2023). Apolipoprotein-mimetic nanodiscs reduce lipid accumulation and improve liver function in acid sphingomyelinase deficiency. Nanomedicine Nanotechnology Biology and Medicine. 53. 102705–102705. 1 indexed citations
4.
Schultz, Mark L., Steven Erwood, Evgueni A. Ivakine, et al.. (2022). Species-specific differences in NPC1 protein trafficking govern therapeutic response in Niemann-Pick type C disease. JCI Insight. 7(23). 6 indexed citations
5.
Deng, Lu, et al.. (2022). Loss of POGZ alters neural differentiation of human embryonic stem cells. Molecular and Cellular Neuroscience. 120. 103727–103727. 10 indexed citations
6.
Ilnytska, Olga, Kirill Gorshkov, Mark L. Schultz, et al.. (2021). Enrichment of NPC1-deficient cells with the lipid LBPA stimulates autophagy, improves lysosomal function, and reduces cholesterol storage. Journal of Biological Chemistry. 297(1). 100813–100813. 34 indexed citations
7.
Schultz, Mark L., et al.. (2020). Fbxo2 mediates clearance of damaged lysosomes and modifies neurodegeneration in the Niemann-Pick C brain. JCI Insight. 5(20). 32 indexed citations
8.
Schultz, Mark L., Maria V. Fawaz, Todd Hollon, et al.. (2019). Synthetic high-density lipoprotein nanoparticles for the treatment of Niemann–Pick diseases. BMC Medicine. 17(1). 200–200. 18 indexed citations
9.
Schultz, Mark L., Kelsey L. Krus, Susmita Kaushik, et al.. (2018). Coordinate regulation of mutant NPC1 degradation by selective ER autophagy and MARCH6-dependent ERAD. Nature Communications. 9(1). 3671–3671. 91 indexed citations
10.
Gurda, Brittney L., Jessica Bagel, Mark L. Schultz, et al.. (2018). LC3 Immunostaining in the Inferior Olivary Nuclei of Cats With Niemann-Pick Disease Type C1 Is Associated With Patterned Purkinje Cell Loss. Journal of Neuropathology & Experimental Neurology. 77(3). 229–245. 6 indexed citations
11.
Schultz, Mark L., et al.. (2018). Modulating membrane fluidity corrects Batten disease phenotypes in vitro and in vivo. Neurobiology of Disease. 115. 182–193. 23 indexed citations
12.
Ahrens‐Nicklas, Rebecca C., Luis Tecedor, Mark L. Schultz, et al.. (2017). Small molecule therapies for juvenile neuronal ceroid lipofuscinosis. Molecular Genetics and Metabolism. 120(1-2). S18–S19. 1 indexed citations
13.
Schultz, Mark L., Kelsey L. Krus, & Andrew P. Lieberman. (2016). Lysosome and endoplasmic reticulum quality control pathways in Niemann-Pick type C disease. Brain Research. 1649(Pt B). 181–188. 31 indexed citations
14.
Schultz, Mark L., Luis Tecedor, Colleen S. Stein, Mark A. Stamnes, & Beverly L. Davidson. (2014). CLN3 Deficient Cells Display Defects in the ARF1-Cdc42 Pathway and Actin-Dependent Events. PLoS ONE. 9(5). e96647–e96647. 20 indexed citations
15.
Tecedor, Luis, Colleen S. Stein, Mark L. Schultz, et al.. (2013). CLN3 Loss Disturbs Membrane Microdomain Properties and Protein Transport in Brain Endothelial Cells. Journal of Neuroscience. 33(46). 18065–18079. 53 indexed citations
16.
Schultz, Mark L., Luis Tecedor, Michael Chang, & Beverly L. Davidson. (2011). Clarifying lysosomal storage diseases. Trends in Neurosciences. 34(8). 401–410. 172 indexed citations
17.
Xie, Ping, Jayakumar Poovassery, Laura L. Stunz, et al.. (2011). Enhanced Toll-like receptor (TLR) responses of TNFR-associated factor 3 (TRAF3)-deficient B lymphocytes. Journal of Leukocyte Biology. 90(6). 1149–1157. 52 indexed citations
18.
Zigman, Seymour, et al.. (1998). Measurement of oxygen production by in vitro human and animal lenses with an oxygen electrode. Current Eye Research. 17(2). 115–119. 18 indexed citations
19.
Zigman, Seymour, Nancy S. Rafferty, & Mark L. Schultz. (1995). Dogfish (Mustelus canis) Lens Catalase Reduces H202-Induced Opacification. Biological Bulletin. 189(2). 222–223. 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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