Mona Batish

2.1k total citations
49 papers, 1.3k citations indexed

About

Mona Batish is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Mona Batish has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 15 papers in Cancer Research and 8 papers in Plant Science. Recurrent topics in Mona Batish's work include RNA Research and Splicing (12 papers), MicroRNA in disease regulation (9 papers) and Cancer-related molecular mechanisms research (9 papers). Mona Batish is often cited by papers focused on RNA Research and Splicing (12 papers), MicroRNA in disease regulation (9 papers) and Cancer-related molecular mechanisms research (9 papers). Mona Batish collaborates with scholars based in United States, India and China. Mona Batish's co-authors include Sanjay Tyagi, Fred Russell Kramer, Salvatore A. E. Marras, Paul Schedl, Diana Vargas, Khyati N. Shah, Arjun Raj, Gursharan Singh, Neena Capalash and Prince Sharma and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Mona Batish

49 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mona Batish United States 20 1.0k 334 203 115 82 49 1.3k
Linfeng Huang China 19 1.3k 1.3× 519 1.6× 331 1.6× 129 1.1× 76 0.9× 44 1.8k
Hesam Dehghani Iran 19 1.4k 1.4× 178 0.5× 188 0.9× 113 1.0× 222 2.7× 101 1.8k
Zain Paroo United States 18 1.6k 1.5× 745 2.2× 97 0.5× 103 0.9× 129 1.6× 22 1.9k
Lijuan Yang China 21 662 0.6× 287 0.9× 158 0.8× 151 1.3× 93 1.1× 53 1.3k
Bowen Zhang China 17 801 0.8× 248 0.7× 77 0.4× 98 0.9× 120 1.5× 63 1.1k
Yuriy Fedorov United States 11 1.5k 1.5× 596 1.8× 82 0.4× 141 1.2× 222 2.7× 22 1.8k
J. Zachery Cogan United States 6 1.1k 1.1× 151 0.5× 61 0.3× 88 0.8× 131 1.6× 6 1.2k
Lukáš Valihrach Czechia 21 777 0.8× 373 1.1× 30 0.1× 137 1.2× 67 0.8× 43 1.2k
Britta A. M. Bouwman Sweden 17 1.5k 1.4× 156 0.5× 304 1.5× 55 0.5× 196 2.4× 22 1.7k
Claudia Quedenau Germany 14 1.5k 1.5× 894 2.7× 94 0.5× 183 1.6× 88 1.1× 16 1.8k

Countries citing papers authored by Mona Batish

Since Specialization
Citations

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

Fields of papers citing papers by Mona Batish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mona Batish

This figure shows the co-authorship network connecting the top 25 collaborators of Mona Batish. A scholar is included among the top collaborators of Mona Batish 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 Mona Batish. Mona Batish 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.
Huang, Yiyao, Олеся Гололобова, Yanbao Yu, et al.. (2025). Defining the Parameters for Sorting of RNA Cargo Into Extracellular Vesicles. Journal of Extracellular Vesicles. 14(7). e70113–e70113. 1 indexed citations
2.
Huang, Yiyao, Олеся Гололобова, Zhaohao Liao, et al.. (2025). Enhanced packaging of U6 small nuclear RNA and splicing-related proteins into extracellular vesicles during HIV infection. Science Advances. 11(11). eadq6557–eadq6557. 2 indexed citations
3.
Robinson, Karyn G., Amaresh C. Panda, M. Wade Shrader, et al.. (2024). The circular RNA circNFIX regulates MEF2C expression in muscle satellite cells in spastic cerebral palsy. Journal of Biological Chemistry. 300(12). 107987–107987. 2 indexed citations
4.
Katsushima, Keisuke, Kandarp Joshi, Mona Batish, et al.. (2024). A therapeutically targetable positive feedback loop between lnc-HLX-2-7, HLX, and MYC that promotes group 3 medulloblastoma. Cell Reports. 43(3). 113938–113938. 5 indexed citations
5.
Kontos, Christos K., Paraskevi Karousi, Pinelopi I. Artemaki, et al.. (2023). Novel circular RNAs of the apoptosis‐related BAX and BCL2L12 genes identified in a chronic lymphocytic leukemia cell line using nanopore sequencing. FEBS Open Bio. 13(10). 1953–1966. 2 indexed citations
6.
Akins, Robert E., et al.. (2023). Exploring the Multifaceted Biologically Relevant Roles of circRNAs: From Regulation, Translation to Biomarkers. Cells. 12(24). 2813–2813. 14 indexed citations
7.
Guarnerio, Jlenia, et al.. (2022). CircFISH: A Novel Method for the Simultaneous Imaging of Linear and Circular RNAs. Cancers. 14(2). 428–428. 22 indexed citations
8.
Huang, Kun, et al.. (2022). 24‐nt phasiRNAs move from tapetal to meiotic cells in maize anthers. New Phytologist. 235(2). 488–501. 24 indexed citations
9.
Yoo, Byung-Chun, et al.. (2022). Exon skipping induced by CRISPR-directed gene editing regulates the response to chemotherapy in non-small cell lung carcinoma cells. Gene Therapy. 29(6). 357–367. 11 indexed citations
10.
Parashar, Vijay, et al.. (2021). The Landscape of Regulatory Noncoding RNAs in Ewing’s Sarcoma. Biomedicines. 9(8). 933–933. 9 indexed citations
11.
Huang, Kun, et al.. (2020). Quantitative, super-resolution localization of small RNAs with sRNA-PAINT. Nucleic Acids Research. 48(16). e96–e96. 16 indexed citations
12.
Barnum, Carrie E., Catherine Y. Cheng, Deepti Anand, et al.. (2020). The Tudor-domain protein TDRD7, mutated in congenital cataract, controls the heat shock protein HSPB1 (HSP27) and lens fiber cell morphology. Human Molecular Genetics. 29(12). 2076–2097. 25 indexed citations
13.
Brown, Tanya L., Quan Shang, H Hashimoto, et al.. (2020). Mechanistic Target of Rapamycin Regulates the Oligodendrocyte Cytoskeleton during Myelination. Journal of Neuroscience. 40(15). 2993–3007. 31 indexed citations
14.
Guarnerio, Jlenia, Yang Zhang, Giulia Cheloni, et al.. (2020). Author Correction: Intragenic antagonistic roles of protein and circRNA in tumorigenesis. Cell Research. 30(2). 188–188. 2 indexed citations
15.
Guarnerio, Jlenia, Yang Zhang, Giulia Cheloni, et al.. (2019). Intragenic antagonistic roles of protein and circRNA in tumorigenesis. Cell Research. 29(8). 628–640. 128 indexed citations
16.
Lee, Bongyong, Anupama Sahoo, Xiaoli Chen, et al.. (2017). The long noncoding RNA SPRIGHTLY acts as an intranuclear organizing hub for pre-mRNA molecules. Science Advances. 3(5). e1602505–e1602505. 28 indexed citations
17.
Kasar, Siddha, Chingiz Underbayev, Moinuddin Hassan, et al.. (2016). Alterations in the mir-15a/16-1 Loci Impairs Its Processing and Augments B-1 Expansion in De Novo Mouse Model of Chronic Lymphocytic Leukemia (CLL). PLoS ONE. 11(3). e0149331–e0149331. 7 indexed citations
18.
Mao, Yong, et al.. (2016). Profiling stem cell states in three-dimensional biomaterial niches using high content image informatics. Acta Biomaterialia. 45. 98–109. 17 indexed citations
19.
Singh, Gursharan, Mona Batish, Prince Sharma, & Neena Capalash. (2009). Xenobiotics enhance laccase activity in alkali-tolerant γ-proteobacterium JB. Brazilian Journal of Microbiology. 40(1). 26–30. 12 indexed citations
20.
Singh, Gursharan, Naveen Ahuja, Mona Batish, Neena Capalash, & Prince Sharma. (2008). Biobleaching of wheat straw-rich soda pulp with alkalophilic laccase from γ-proteobacterium JB: Optimization of process parameters using response surface methodology. Bioresource Technology. 99(16). 7472–7479. 80 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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