Deepali Singh

1.3k total citations · 1 hit paper
38 papers, 869 citations indexed

About

Deepali Singh is a scholar working on Molecular Biology, Plant Science and Surgery. According to data from OpenAlex, Deepali Singh has authored 38 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 14 papers in Plant Science and 6 papers in Surgery. Recurrent topics in Deepali Singh's work include CRISPR and Genetic Engineering (6 papers), Plant Virus Research Studies (6 papers) and RNA and protein synthesis mechanisms (6 papers). Deepali Singh is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Plant Virus Research Studies (6 papers) and RNA and protein synthesis mechanisms (6 papers). Deepali Singh collaborates with scholars based in India, China and United States. Deepali Singh's co-authors include Chetna Singh, Kathleen Boris‐Lawrie, Lianbo Yu, Cheryl Bolinger, Amit Sharma, Vinod Kumar, Sachin Teotia, Devendra Kumar Patel, Brajesh Kumar Singh and James E. Greenwald and has published in prestigious journals such as Nucleic Acids Research, Free Radical Biology and Medicine and Trends in biotechnology.

In The Last Decade

Deepali Singh

34 papers receiving 856 citations

Hit Papers

Astrocytic and microglial cells as the modulators of neur... 2022 2026 2023 2024 2022 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Astrocytic and microglial cells as the modulators of neuroinflammation in Alzheimer’s disease
    2022 306 citations Deepali Singh profile →

Peers

Deepali Singh
Xueling Dai China
Unbin Chae South Korea
Xiangxiang Wang China
Maíra Cola Brazil
Zheng Zhao China
Bingrun Liu China
Geetika Garg India
Wycliffe O. Opii United States
Xiaohong Wang China
Xueling Dai China
Deepali Singh
Citations per year, relative to Deepali Singh Deepali Singh (= 1×) peers Xueling Dai

Countries citing papers authored by Deepali Singh

Since Specialization
Citations

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

Fields of papers citing papers by Deepali Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepali Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Deepali Singh. A scholar is included among the top collaborators of Deepali Singh 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 Deepali Singh. Deepali Singh 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.
Kumar, Ravi Ranjan, Mukesh Kumar, Veena Chaudhary, Sachin Teotia, & Deepali Singh. (2025). Exploring recent advances, limitations, and future prospects of OMICS-based technologies in plant-pathogen interaction studies: a systematic review. Discover Plants.. 2(1).
2.
3.
Awasthi, Amit K., et al.. (2024). Scaled codon usage similarity index: A comprehensive resource for crop plants. Journal of Genetic Engineering and Biotechnology. 22(4). 100441–100441. 1 indexed citations
4.
Singh, Deepali & Nabin Kumar Dhal. (2023). Chromium-Induced Oxidative Stress and Adaptive Response by Plants: A Physicochemical Review. Russian Journal of Plant Physiology. 70(3). 2 indexed citations
5.
Singh, Deepali. (2023). Designed gRNAs for CRISPR-Cas9 based antifungal resistance in eggplant. Bioinformation. 19(8). 844–848. 1 indexed citations
6.
Kumar, Mukesh, Sachin Teotia, Deepali Singh, et al.. (2022). CRISPR/Cas9 System: A Potential Tool for Genetic Improvement in Floricultural Crops. Molecular Biotechnology. 64(12). 1303–1318. 12 indexed citations
7.
Singh, Deepali, Archana Yadav, & Chetna Singh. (2021). Autonomous regulation of inducible nitric oxide synthase and cytochrome P450 2E1-mediated oxidative stress in maneb- and paraquat-treated rat polymorphs. Pesticide Biochemistry and Physiology. 178. 104944–104944. 9 indexed citations
8.
Wang, Liang, et al.. (2020). Integrative analysis of microRNA and mRNA expression profiles in MARC-145 cells infected with PRRSV. Virus Genes. 56(5). 610–620. 4 indexed citations
9.
Singh, Deepali, et al.. (2020). Sinomenine inhibits amyloid beta-induced astrocyte activation and protects neurons against indirect toxicity. Molecular Brain. 13(1). 30–30. 29 indexed citations
10.
Kumar, Naveen, et al.. (2020). Transcriptional regulation of seed oil accumulation in Arabidopsis thaliana: role of transcription factors and chromatin remodelers. Journal of Plant Biochemistry and Biotechnology. 29(4). 754–768. 21 indexed citations
11.
12.
Singh, Gatikrushna, et al.. (2017). Isolation of Cognate RNA-protein Complexes from Cells Using Oligonucleotide-directed Elution. Journal of Visualized Experiments. 3 indexed citations
13.
Singh, Brajesh Kumar, Vinod Kumar, Ashish Dwivedi, et al.. (2016). Neuronal Nitric Oxide Synthase Negatively Regulates Zinc-Induced Nigrostriatal Dopaminergic Neurodegeneration. Molecular Neurobiology. 54(4). 2685–2696. 15 indexed citations
14.
Singh, Deepali, Vinod Kumar, & Chetna Singh. (2016). IFN-γ regulates xanthine oxidase-mediated iNOS-independent oxidative stress in maneb- and paraquat-treated rat polymorphonuclear leukocytes. Molecular and Cellular Biochemistry. 427(1-2). 133–143. 15 indexed citations
15.
Kumar, Vinod, et al.. (2015). Minocycline Rescues from Zinc-Induced Nigrostriatal Dopaminergic Neurodegeneration: Biochemical and Molecular Interventions. Molecular Neurobiology. 53(5). 2761–2777. 34 indexed citations
16.
Shukla, Smriti, Deepali Singh, Vinod Kumar, et al.. (2015). NADPH oxidase mediated maneb- and paraquat-induced oxidative stress in rat polymorphs: Crosstalk with mitochondrial dysfunction. Pesticide Biochemistry and Physiology. 123. 74–86. 28 indexed citations
17.
Singh, Deepali, et al.. (2015). HIV-1 and two avian retroviral 5′ untranslated regions bind orthologous human and chicken RNA binding proteins. Virology. 486. 307–320. 21 indexed citations
18.
Ahmad, Israr, Smriti Shukla, Deepali Singh, et al.. (2014). CYP2E1-mediated oxidative stress regulates HO-1 and GST expression in maneb- and paraquat-treated rat polymorphonuclear leukocytes. Molecular and Cellular Biochemistry. 393(1-2). 209–222. 20 indexed citations
19.
Singh, Deepali, et al.. (2012). Fidelity of tRNA 5′-maturation: a possible basis for the functional dependence of archaeal and eukaryal RNase P on multiple protein cofactors. Nucleic Acids Research. 40(10). 4666–4680. 15 indexed citations
20.
Bolinger, Cheryl, Amit Sharma, Deepali Singh, Lianbo Yu, & Kathleen Boris‐Lawrie. (2009). RNA helicase A modulates translation of HIV-1 and infectivity of progeny virions. Nucleic Acids Research. 38(5). 1686–1696. 106 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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