Maria B. Bagh

820 total citations
20 papers, 644 citations indexed

About

Maria B. Bagh is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Maria B. Bagh has authored 20 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 10 papers in Molecular Biology and 10 papers in Cell Biology. Recurrent topics in Maria B. Bagh's work include Lysosomal Storage Disorders Research (12 papers), Cellular transport and secretion (10 papers) and Mitochondrial Function and Pathology (5 papers). Maria B. Bagh is often cited by papers focused on Lysosomal Storage Disorders Research (12 papers), Cellular transport and secretion (10 papers) and Mitochondrial Function and Pathology (5 papers). Maria B. Bagh collaborates with scholars based in United States, India and China. Maria B. Bagh's co-authors include Anil B. Mukherjee, Zhongjian Zhang, Sasanka Chakrabarti, Goutam Chandra, Shiyong Peng, Kalpita Banerjee, Chinmoy Sarkar, Aiyi Liu, Tamal Sadhukhan and Eryan Kong and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Brain Research.

In The Last Decade

Maria B. Bagh

19 papers receiving 640 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria B. Bagh United States 13 334 242 160 89 83 20 644
Mi-Hee Ko South Korea 11 253 0.8× 326 1.3× 84 0.5× 83 0.9× 55 0.7× 14 637
Volker Meske Germany 16 337 1.0× 520 2.1× 83 0.5× 127 1.4× 84 1.0× 26 799
Marko Košiček Croatia 9 311 0.9× 350 1.4× 86 0.5× 37 0.4× 50 0.6× 13 595
Chunfeng Huo United States 10 406 1.2× 411 1.7× 168 1.1× 125 1.4× 249 3.0× 13 986
Yu Young Jeong United States 8 301 0.9× 274 1.1× 90 0.6× 64 0.7× 223 2.7× 11 586
Eunju Im South Korea 14 444 1.3× 389 1.6× 185 1.2× 82 0.9× 282 3.4× 18 934
Wenxin Yu Japan 6 224 0.7× 314 1.3× 79 0.5× 79 0.9× 50 0.6× 8 523
P.L. Wencel Poland 10 374 1.1× 252 1.0× 46 0.3× 56 0.6× 87 1.0× 16 648
Marc Yeste‐Velasco Spain 15 424 1.3× 138 0.6× 54 0.3× 111 1.2× 92 1.1× 27 767
Olga Krestinina Russia 18 705 2.1× 152 0.6× 52 0.3× 128 1.4× 56 0.7× 65 953

Countries citing papers authored by Maria B. Bagh

Since Specialization
Citations

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

Fields of papers citing papers by Maria B. Bagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria B. Bagh. 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 Maria B. Bagh. The network helps show where Maria B. Bagh may publish in the future.

Co-authorship network of co-authors of Maria B. Bagh

This figure shows the co-authorship network connecting the top 25 collaborators of Maria B. Bagh. A scholar is included among the top collaborators of Maria B. Bagh 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 Maria B. Bagh. Maria B. Bagh 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.
Bagh, Maria B., Tamal Sadhukhan, Satya P. Singh, et al.. (2025). Niemann Pick C1 mistargeting disrupts lysosomal cholesterol homeostasis contributing to neurodegeneration in a Batten disease model. Science Advances. 11(19). eadr5703–eadr5703. 1 indexed citations
2.
Bagh, Maria B., et al.. (2024). Disruption of lysosomal nutrient sensing scaffold contributes to pathogenesis of a fatal neurodegenerative lysosomal storage disease. Journal of Biological Chemistry. 300(2). 105641–105641. 3 indexed citations
3.
Sadhukhan, Tamal, et al.. (2022). Ppt1‐deficiency dysregulates lysosomal Ca++ homeostasis contributing to pathogenesis in a mouse model of CLN1 disease. Journal of Inherited Metabolic Disease. 45(3). 635–656. 11 indexed citations
4.
Sadhukhan, Tamal, Maria B. Bagh, James Iben, et al.. (2021). Ablation of microRNA-155 and neuroinflammation in a mouse model of CLN1-disease. Biochemical and Biophysical Research Communications. 571. 137–144. 1 indexed citations
5.
Sadhukhan, Tamal, et al.. (2021). In a mouse model of INCL reduced S‐palmitoylation of cytosolic thioesterase APT1 contributes to microglia proliferation and neuroinflammation. Journal of Inherited Metabolic Disease. 44(4). 1051–1069. 24 indexed citations
6.
Sarkar, Chinmoy, et al.. (2020). Cln1‐mutations suppress Rab7‐RILP interaction and impair autophagy contributing to neuropathology in a mouse model of infantile neuronal ceroid lipofuscinosis. Journal of Inherited Metabolic Disease. 43(5). 1082–1101. 17 indexed citations
7.
Mukherjee, Anil B., et al.. (2019). Emerging new roles of the lysosome and neuronal ceroid lipofuscinoses. Molecular Neurodegeneration. 14(1). 4–4. 72 indexed citations
8.
9.
Sadhukhan, Tamal, Maria B. Bagh, Eryan Kong, et al.. (2019). H‐Ras Signaling Mediates Microglia Proliferation Contributing to Neuropathology in INCL Mice. The FASEB Journal. 33(S1).
10.
Bagh, Maria B., Shiyong Peng, Goutam Chandra, et al.. (2017). Misrouting of v-ATPase subunit V0a1 dysregulates lysosomal acidification in a neurodegenerative lysosomal storage disease model. Nature Communications. 8(1). 14612–14612. 122 indexed citations
11.
Peng, Shiyong, Jianhua Xu, Kenneth A. Pelkey, et al.. (2015). Suppression of agrin‐22 production and synaptic dysfunction in Cln1−/− mice. Annals of Clinical and Translational Neurology. 2(12). 1085–1104. 10 indexed citations
12.
Bagh, Maria B., Goutam Chandra, Shiyong Peng, Zhongjian Zhang, & Anil B. Mukherjee. (2015). A lysosomal targeting defect of V0a1 suppresses V‐ATPase activity elevating lysosomal pH in Ppt1 ‐/‐ mice: amelioration by NtBuHA. The FASEB Journal. 29(S1). 2 indexed citations
13.
Chandra, Goutam, Maria B. Bagh, Shiyong Peng, et al.. (2015). Cln1gene disruption in mice reveals a common pathogenic link between two of the most lethal childhood neurodegenerative lysosomal storage disorders. Human Molecular Genetics. 24(19). 5416–5432. 20 indexed citations
14.
15.
Kong, Eryan, Shiyong Peng, Goutam Chandra, et al.. (2013). Dynamic Palmitoylation Links Cytosol-Membrane Shuttling of Acyl-protein Thioesterase-1 and Acyl-protein Thioesterase-2 with That of Proto-oncogene H-Ras Product and Growth-associated Protein-43. Journal of Biological Chemistry. 288(13). 9112–9125. 118 indexed citations
16.
Chakrabarti, Sasanka, et al.. (2011). Mitochondrial Dysfunction during Brain Aging: Role of Oxidative Stress and Modulation by Antioxidant Supplementation.. PubMed. 2(3). 242–56. 91 indexed citations
17.
Bagh, Maria B., et al.. (2010). Age-related oxidative decline of mitochondrial functions in rat brain is prevented by long term oral antioxidant supplementation. Biogerontology. 12(2). 119–131. 30 indexed citations
18.
19.
Bagh, Maria B., Arpan Kumar Maiti, Arun K. Roy, & Sasanka Chakrabarti. (2008). Dietary supplementation with N-acetylcysteine, α-tocopherol and α-lipoic acid prevents age related decline in Na+,K+-ATPase activity and associated peroxidative damage in rat brain synaptosomes. Biogerontology. 9(6). 421–428. 14 indexed citations
20.

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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