Yulia Grishchuk

833 total citations
22 papers, 650 citations indexed

About

Yulia Grishchuk is a scholar working on Physiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Yulia Grishchuk has authored 22 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 9 papers in Cell Biology and 7 papers in Molecular Biology. Recurrent topics in Yulia Grishchuk's work include Calcium signaling and nucleotide metabolism (17 papers), Adenosine and Purinergic Signaling (9 papers) and Cellular transport and secretion (8 papers). Yulia Grishchuk is often cited by papers focused on Calcium signaling and nucleotide metabolism (17 papers), Adenosine and Purinergic Signaling (9 papers) and Cellular transport and secretion (8 papers). Yulia Grishchuk collaborates with scholars based in United States, Switzerland and Israel. Yulia Grishchuk's co-authors include Robert Clarke, Julien Puyal, Anita C. Truttmann, Vanessa Ginet, Nikita Rudinskiy, Ruth Luthi‐Carter, Susan A. Slaugenhaupt, Coralie Rummel, Kirill Kiselyov and Albert Misko and has published in prestigious journals such as Journal of Biological Chemistry, The FASEB Journal and Journal of the American Society of Nephrology.

In The Last Decade

Yulia Grishchuk

20 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yulia Grishchuk United States 13 278 225 204 139 117 22 650
Lakshya Bajaj United States 7 362 1.3× 298 1.3× 157 0.8× 241 1.7× 386 3.3× 8 827
Daniel B. Swartzlander United States 7 229 0.8× 279 1.2× 53 0.3× 91 0.7× 265 2.3× 11 657
Mark W. Sherwood United Kingdom 14 81 0.3× 316 1.4× 217 1.1× 134 1.0× 99 0.8× 19 936
Cansu Karabiyik United Kingdom 9 344 1.2× 272 1.2× 60 0.3× 112 0.8× 149 1.3× 11 670
Lucie Janečková Czechia 16 83 0.3× 397 1.8× 72 0.4× 75 0.5× 138 1.2× 29 846
Yasunari Munemasa Japan 22 155 0.6× 718 3.2× 48 0.2× 108 0.8× 96 0.8× 47 1.3k
Xinjun Zhu United States 12 100 0.4× 209 0.9× 39 0.2× 43 0.3× 115 1.0× 18 615
Sandra Vilotti Italy 13 55 0.2× 264 1.2× 40 0.2× 47 0.3× 101 0.9× 17 508
Guofeng Lou China 8 217 0.8× 252 1.1× 32 0.2× 41 0.3× 143 1.2× 10 538
Vikas Kaushal Canada 7 79 0.3× 226 1.0× 52 0.3× 29 0.2× 116 1.0× 8 679

Countries citing papers authored by Yulia Grishchuk

Since Specialization
Citations

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

Fields of papers citing papers by Yulia Grishchuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulia Grishchuk

This figure shows the co-authorship network connecting the top 25 collaborators of Yulia Grishchuk. A scholar is included among the top collaborators of Yulia Grishchuk 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 Yulia Grishchuk. Yulia Grishchuk 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.
Misko, Albert, et al.. (2025). Exploring human plasma proteomic variations in mucolipidosis type IV. Molecular Therapy — Methods & Clinical Development. 33(2). 101479–101479.
3.
Montefusco, Sandro, Edoardo Nusco, Antonella Capuozzo, et al.. (2024). TRPML-1 Dysfunction and Renal Tubulopathy in Mucolipidosis Type IV. Journal of the American Society of Nephrology. 36(4). 587–601. 1 indexed citations
4.
Shahriar, Sanjid, et al.. (2023). Brain cell type specific proteomics approach to discover pathological mechanisms in the childhood CNS disorder mucolipidosis type IV. Frontiers in Molecular Neuroscience. 16. 1215425–1215425. 4 indexed citations
5.
Misko, Albert, et al.. (2022). Peripheral Inflammatory Cytokine Signature Mirrors Motor Deficits in Mucolipidosis IV. Cells. 11(3). 546–546. 2 indexed citations
6.
Misko, Albert, Levi B. Wood, Rebecca S. Oberman, et al.. (2022). Cross-sectional Observations on the Natural History of Mucolipidosis Type IV. Neurology Genetics. 8(2). e662–e662. 4 indexed citations
7.
Salani, Monica, Sarah Wassmer, Ru Xiao, et al.. (2021). MCOLN1 gene therapy corrects neurologic dysfunction in the mouse model of mucolipidosis IV. Human Molecular Genetics. 30(10). 908–922. 12 indexed citations
8.
Zerem, Ayelet, Liat Ben‐Sira, Z. Leibovitz, et al.. (2021). White matter abnormalities and iron deposition in prenatal mucolipidosis IV- fetal imaging and pathology. Metabolic Brain Disease. 36(7). 2155–2167. 8 indexed citations
9.
Misko, Albert, Levi B. Wood, Kirill Kiselyov, Susan A. Slaugenhaupt, & Yulia Grishchuk. (2021). Progress in elucidating pathophysiology of mucolipidosis IV. Neuroscience Letters. 755. 135944–135944. 15 indexed citations
10.
Vardi, Ayelet, et al.. (2021). Proteomics analysis of a human brain sample from a mucolipidosis type IV patient reveals pathophysiological pathways. Orphanet Journal of Rare Diseases. 16(1). 39–39. 11 indexed citations
11.
Weinstock, Laura D., Shawn Herron, Dadi Gao, et al.. (2018). Fingolimod phosphate inhibits astrocyte inflammatory activity in mucolipidosis IV. Human Molecular Genetics. 27(15). 2725–2738. 20 indexed citations
12.
Sikora, Jakub, Ladislav Kuchař, J. Ledvinová, et al.. (2017). N-butyldeoxynojirimycin delays motor deficits, cerebellar microgliosis, and Purkinje cell loss in a mouse model of mucolipidosis type IV. Neurobiology of Disease. 105. 257–270. 14 indexed citations
13.
Chen, Cheng‐Chang, Elisabeth Butz, Yu‐Kai Chao, et al.. (2017). Small Molecules for Early Endosome-Specific Patch Clamping. Cell chemical biology. 24(7). 907–916.e4. 34 indexed citations
14.
Lu, Wennan, Jason Lim, Kirill Kiselyov, et al.. (2017). Robust lysosomal calcium signaling through channel TRPML1 is impaired by lysosomal lipid accumulation. The FASEB Journal. 32(2). 782–794. 38 indexed citations
15.
Grishchuk, Yulia, Nelly M. Cruz, Alona Muzikansky, et al.. (2015). Retinal Dystrophy and Optic Nerve Pathology in the Mouse Model of Mucolipidosis IV. American Journal Of Pathology. 186(1). 199–209. 22 indexed citations
16.
Grishchuk, Yulia, et al.. (2015). Impaired myelination and reduced ferric iron in mucolipidosis IV brain. Disease Models & Mechanisms. 8(12). 1591–601. 36 indexed citations
17.
Ginet, Vanessa, Coralie Rummel, Nikita Rudinskiy, et al.. (2014). Involvement of autophagy in hypoxic-excitotoxic neuronal death. Autophagy. 10(5). 846–860. 133 indexed citations
18.
Grishchuk, Yulia, Vanessa Ginet, Anita C. Truttmann, Robert Clarke, & Julien Puyal. (2011). Beclin 1-independent autophagy contributes to apoptosis in cortical neurons. Autophagy. 7(10). 1115–1131. 147 indexed citations
19.
Puyal, Julien, Vanessa Ginet, Yulia Grishchuk, Anita C. Truttmann, & Robert Clarke. (2011). Neuronal Autophagy as a Mediator of Life and Death. The Neuroscientist. 18(3). 224–236. 69 indexed citations
20.
Rudinskiy, Nikita, Yulia Grishchuk, Anne Vaslin, et al.. (2009). Calpain Hydrolysis of α- and β2-Adaptins Decreases Clathrin-dependent Endocytosis and May Promote Neurodegeneration. Journal of Biological Chemistry. 284(18). 12447–12458. 35 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