Shuchi Mittal

817 total citations
9 papers, 316 citations indexed

About

Shuchi Mittal is a scholar working on Rheumatology, Physiology and Molecular Biology. According to data from OpenAlex, Shuchi Mittal has authored 9 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Rheumatology, 5 papers in Physiology and 4 papers in Molecular Biology. Recurrent topics in Shuchi Mittal's work include Glycogen Storage Diseases and Myoclonus (6 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Lysosomal Storage Disorders Research (4 papers). Shuchi Mittal is often cited by papers focused on Glycogen Storage Diseases and Myoclonus (6 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Lysosomal Storage Disorders Research (4 papers). Shuchi Mittal collaborates with scholars based in India, United States and Japan. Shuchi Mittal's co-authors include Subramaniam Ganesh, Rajat Puri, Shweta Singh, Kazuhiro Yamakawa, Pankaj Kumar Singh, Rashmi Parihar, Sonali Sengupta, Mark Labow, Naomi Tsurutani and Kenji Amano and has published in prestigious journals such as Human Molecular Genetics, Neuroscience Letters and Neuroscience Research.

In The Last Decade

Shuchi Mittal

9 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shuchi Mittal India	6	224	174	132	114	63	9	316
M. Kathryn Brewer United States	9	141 0.6×	104 0.6×	92 0.7×	52 0.5×	63 1.0×	15	253
Berge A. Minassian Canada	10	63 0.3×	94 0.5×	130 1.0×	44 0.4×	32 0.5×	16	265
Maribel Sánchez‐Piris Spain	8	97 0.4×	85 0.5×	291 2.2×	50 0.4×	47 0.7×	8	448
Kirsi Alakurtti Finland	7	85 0.4×	129 0.7×	88 0.7×	63 0.6×	19 0.3×	9	233
Nicola Vanni Italy	5	35 0.2×	122 0.7×	145 1.1×	48 0.4×	28 0.4×	6	278
Nela Pencea Canada	9	403 1.8×	323 1.9×	124 0.9×	160 1.4×	159 2.5×	10	477
Alice Krebs Germany	8	31 0.1×	64 0.4×	164 1.2×	93 0.8×	21 0.3×	12	373
Dana M. Alessi Wolken United States	7	42 0.2×	18 0.1×	189 1.4×	41 0.4×	50 0.8×	7	271
Rocío Sánchez-Alcudia Spain	14	40 0.2×	72 0.4×	339 2.6×	15 0.1×	19 0.3×	18	418
Mario A. Cabrera-Salazar United States	10	30 0.1×	43 0.2×	169 1.3×	325 2.9×	33 0.5×	11	396

Countries citing papers authored by Shuchi Mittal

Since Specialization

Citations

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

Fields of papers citing papers by Shuchi Mittal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuchi Mittal

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

All Works

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9 of 9 papers shown

Wilson, Stephen C., et al.. (2022). A novel high-throughput screening strategy for targeting alpha-synuclein and other long-lived proteins. SLAS DISCOVERY. 27(6). 349–357. 6 indexed citations

Mittal, Shuchi, et al.. (2018). Correction to: Interdependence of laforin and malin proteins for their stability and functions could underlie the molecular basis of locus heterogeneity in Lafora disease. Journal of Biosciences. 43(4). 817–817. 1 indexed citations

Bakshi, Rachit, Shuchi Mittal, Zhixiang Liao, & Clemens R. Scherzer. (2016). A Feed-Forward Circuit of EndogenousPGC-1αandEstrogen Related Receptor αRegulates the Neuronal Electron Transport Chain. Parkinson s Disease. 2016. 1–9. 3 indexed citations

Mittal, Shuchi, et al.. (2015). Interdependence of laforin and malin proteins for their stability and functions could underlie the molecular basis of locus heterogeneity in Lafora disease. Journal of Biosciences. 40(5). 863–871. 7 indexed citations

Mittal, Shuchi & Subramaniam Ganesh. (2010). Protein quality control mechanisms and neurodegenerative disorders: Checks, balances and deadlocks. Neuroscience Research. 68(3). 159–166. 19 indexed citations

Singh, Pankaj Kumar, Rajat Puri, Shuchi Mittal, et al.. (2008). The malin–laforin complex suppresses the cellular toxicity of misfolded proteins by promoting their degradation through the ubiquitin–proteasome system. Human Molecular Genetics. 18(4). 688–700. 99 indexed citations

Mittal, Shuchi, et al.. (2007). Lafora disease proteins malin and laforin are recruited to aggresomes in response to proteasomal impairment. Human Molecular Genetics. 16(7). 753–762. 71 indexed citations

Ganesh, Subramaniam, Naomi Tsurutani, Kenji Amano, et al.. (2005). Transcriptional profiling of a mouse model for Lafora disease reveals dysregulation of genes involved in the expression and modification of proteins. Neuroscience Letters. 387(2). 62–67. 5 indexed citations

Ganesh, Subramaniam, et al.. (2005). Recent advances in the molecular basis of Lafora’s progressive myoclonus epilepsy. Journal of Human Genetics. 51(1). 1–8. 105 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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