Monal Mehta

404 total citations
11 papers, 316 citations indexed

About

Monal Mehta is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Monal Mehta has authored 11 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Genetics. Recurrent topics in Monal Mehta's work include Genetics and Neurodevelopmental Disorders (3 papers), Congenital heart defects research (3 papers) and Autophagy in Disease and Therapy (2 papers). Monal Mehta is often cited by papers focused on Genetics and Neurodevelopmental Disorders (3 papers), Congenital heart defects research (3 papers) and Autophagy in Disease and Therapy (2 papers). Monal Mehta collaborates with scholars based in United States, Netherlands and France. Monal Mehta's co-authors include Bruce G. Haffty, Shridar Ganesan, Hong Cai, Bijan Sobhian, Yanying Huo, Tongde Wu, Allen L. Alcivar, Ka Lung Cheung, Ah‐Ng Tony Kong and Donna D. Zhang and has published in prestigious journals such as Molecular and Cellular Biology, Cancer Research and Journal of Neurochemistry.

In The Last Decade

Monal Mehta

11 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monal Mehta United States 7 245 63 42 39 35 11 316
Bing Xie China 10 181 0.7× 51 0.8× 49 1.2× 21 0.5× 34 1.0× 27 326
Haiping Liu China 12 276 1.1× 36 0.6× 39 0.9× 36 0.9× 27 0.8× 21 502
Narendra Bharathy Singapore 12 484 2.0× 31 0.5× 59 1.4× 49 1.3× 76 2.2× 21 592
Menghui Li China 11 228 0.9× 25 0.4× 63 1.5× 49 1.3× 33 0.9× 23 452
Raffaella Picco Italy 12 297 1.2× 20 0.3× 36 0.9× 49 1.3× 22 0.6× 18 382
Mai Tsuchiya Japan 10 247 1.0× 14 0.2× 40 1.0× 73 1.9× 36 1.0× 29 367
Michelle Wang United States 10 316 1.3× 22 0.3× 22 0.5× 38 1.0× 21 0.6× 28 426
Debanjan Bhattacharya United States 12 195 0.8× 26 0.4× 53 1.3× 46 1.2× 24 0.7× 28 342
Bettina Bareth Germany 10 564 2.3× 30 0.5× 52 1.2× 19 0.5× 16 0.5× 11 642

Countries citing papers authored by Monal Mehta

Since Specialization
Citations

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

Fields of papers citing papers by Monal Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monal Mehta

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

All Works

11 of 11 papers shown
1.
2.
Yeung, Percy Luk, Paul G. Matteson, Monal Mehta, et al.. (2022). Autism NPCs from both idiopathic and CNV 16p11.2 deletion patients exhibit dysregulation of proliferation and mitogenic responses. Stem Cell Reports. 17(6). 1380–1394. 13 indexed citations
3.
Mehta, Monal, et al.. (2020). Using iPSC-Based Models to Understand the Signaling and Cellular Phenotypes in Idiopathic Autism and 16p11.2 Derived Neurons. Advances in neurobiology. 25. 79–107. 3 indexed citations
4.
Khan, Atif J., Monal Mehta, Devora Schiff, et al.. (2019). The glutamate release inhibitor riluzole increases DNA damage and enhances cytotoxicity in human glioma cells, in vitro and in vivo. Oncotarget. 10(29). 2824–2834. 22 indexed citations
5.
Mehta, Monal, et al.. (2018). Non‐canonical activation of CREB mediates neuroprotection in a Caenorhabditis elegans model of excitotoxic necrosis. Journal of Neurochemistry. 148(4). 531–549. 7 indexed citations
6.
Mehta, Monal, Atif J. Khan, Shabbar F. Danish, Bruce G. Haffty, & Hatem E. Sabaawy. (2015). Radiosensitization of Primary Human Glioblastoma Stem-like Cells with Low-Dose AKT Inhibition. Molecular Cancer Therapeutics. 14(5). 1171–1180. 35 indexed citations
7.
Schonewolf, Caitlin A., Monal Mehta, Devora Schiff, et al.. (2014). Autophagy inhibition by chloroquine sensitizes HT-29 colorectal cancer cells to concurrent chemoradiation. World Journal of Gastrointestinal Oncology. 6(3). 74–74. 60 indexed citations
8.
Deshmukh, Amit A., et al.. (2014). Analysis of Double U-slot Cut Rectangular Microstrip Antenna. International Journal of Computer Applications. 94(4). 30–34. 1 indexed citations
9.
Mehta, Monal, et al.. (2013). Digital Watermarking and Steganography. 2(10). 1 indexed citations
10.
Mehnert, Janice M., Xiaoqi Xie, Monal Mehta, et al.. (2013). Abstract 3513: Hydroxychoroquine (HCQ) modulates autophagy in melanoma: preliminary results of a phase 0 trial in patients with resectable melanoma.. Cancer Research. 73(8_Supplement). 3513–3513. 2 indexed citations
11.
Ma, Jianglin, Hong Cai, Tongde Wu, et al.. (2012). PALB2 Interacts with KEAP1 To Promote NRF2 Nuclear Accumulation and Function. Molecular and Cellular Biology. 32(8). 1506–1517. 164 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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