Prakash Pragya

418 total citations
10 papers, 271 citations indexed

About

Prakash Pragya is a scholar working on Insect Science, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Prakash Pragya has authored 10 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Insect Science, 4 papers in Plant Science and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Prakash Pragya's work include Pesticide Exposure and Toxicity (4 papers), Insect and Pesticide Research (3 papers) and Invertebrate Immune Response Mechanisms (3 papers). Prakash Pragya is often cited by papers focused on Pesticide Exposure and Toxicity (4 papers), Insect and Pesticide Research (3 papers) and Invertebrate Immune Response Mechanisms (3 papers). Prakash Pragya collaborates with scholars based in India, China and France. Prakash Pragya's co-authors include D. Kar Chowdhuri, Arvind Kumar Shukla, Devendra Kumar Patel, Anand Krishna Tiwari, Malik Zainul Abdin, K. Ravi Ram, Ratnasekhar Ch, Mohana Krishna Reddy Mudiam, R. C. Murthy and Anurag Sharma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Prakash Pragya

10 papers receiving 266 citations

Peers

Prakash Pragya
Bai‐Xiang Li China
Arvind Kumar Shukla India
Tirupapuliyur V. Damodaran United States
Ilinca Suciu Germany
J. P. Petrali United States
Yao Zhu China
Sharon Li United States
Alexander Heinick Germany
Diana C. Muñoz-Lasso Spain
Bai‐Xiang Li China
Prakash Pragya
Citations per year, relative to Prakash Pragya Prakash Pragya (= 1×) peers Bai‐Xiang Li

Countries citing papers authored by Prakash Pragya

Since Specialization
Citations

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

Fields of papers citing papers by Prakash Pragya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prakash Pragya

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

All Works

10 of 10 papers shown
1.
Pragya, Prakash, Agnishwar Girigoswami, Koyeli Girigoswami, et al.. (2025). A Comprehensive Assessment of the Antioxidant Capacity of Varied Bacopa Monnieri Extracts and Its Toxicity on Early Life Stages of Zebrafish Embryos. Natural Product Communications. 20(3). 1 indexed citations
2.
Chen, Di, et al.. (2021). A time course transcriptomic analysis of host and injected oncogenic cells reveals new aspects of Drosophila immune defenses. Proceedings of the National Academy of Sciences. 118(12). 6 indexed citations
3.
Pragya, Prakash, et al.. (2021). Verloren negatively regulates the expression of IMD pathway dependent antimicrobial peptides in Drosophila. Scientific Reports. 11(1). 5 indexed citations
4.
Shukla, Arvind Kumar, Prakash Pragya, Anand Krishna Tiwari, et al.. (2014). Heat Shock Protein-70 (Hsp-70) Suppresses Paraquat-Induced Neurodegeneration by Inhibiting JNK and Caspase-3 Activation in Drosophila Model of Parkinson's Disease. PLoS ONE. 9(6). e98886–e98886. 59 indexed citations
5.
Shukla, Arvind Kumar, Ratnasekhar Ch, Prakash Pragya, et al.. (2014). Metabolomic Analysis Provides Insights on Paraquat-Induced Parkinson-Like Symptoms in Drosophila melanogaster. Molecular Neurobiology. 53(1). 254–269. 41 indexed citations
6.
Shukla, Arvind Kumar, et al.. (2014). A mutation in Drosophila methuselah resists paraquat induced Parkinson-like phenotypes. Neurobiology of Aging. 35(10). 2419.e1–2419.e16. 36 indexed citations
7.
Pragya, Prakash, Arvind Kumar Shukla, R. C. Murthy, Malik Zainul Abdin, & Debapratim Kar Chowdhuri. (2014). Characterization of the effect of Cr(VI) on humoral innate immunity using Drosophila melanogaster. Environmental Toxicology. 30(11). 1285–1296. 14 indexed citations
8.
Mishra, Manish Kumar, Anurag Sharma, Arvind Kumar Shukla, et al.. (2013). Transcriptomic analysis provides insights on hexavalent chromium induced DNA double strand breaks and their possible repair in midgut cells of Drosophila melanogaster larvae. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 747-748. 28–39. 24 indexed citations
9.
Shukla, Arvind Kumar, Prakash Pragya, & D. Kar Chowdhuri. (2011). A modified alkaline Comet assay for in vivo detection of oxidative DNA damage in Drosophila melanogaster. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 726(2). 222–226. 46 indexed citations
10.
Tiwari, Anand Krishna, Prakash Pragya, K. Ravi Ram, & D. Kar Chowdhuri. (2011). Environmental chemical mediated male reproductive toxicity: Drosophila melanogaster as an alternate animal model. Theriogenology. 76(2). 197–216. 39 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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