Muktesh Chandra

1.7k total citations
22 papers, 299 citations indexed

About

Muktesh Chandra is a scholar working on Molecular Biology, Plant Science and Food Science. According to data from OpenAlex, Muktesh Chandra has authored 22 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Plant Science and 5 papers in Food Science. Recurrent topics in Muktesh Chandra's work include Plant biochemistry and biosynthesis (5 papers), Essential Oils and Antimicrobial Activity (4 papers) and Microbial Natural Products and Biosynthesis (3 papers). Muktesh Chandra is often cited by papers focused on Plant biochemistry and biosynthesis (5 papers), Essential Oils and Antimicrobial Activity (4 papers) and Microbial Natural Products and Biosynthesis (3 papers). Muktesh Chandra collaborates with scholars based in India, Jordan and Iraq. Muktesh Chandra's co-authors include Bhawana Mishra, Neelam S. Sangwan, S. C. Shankhdhar, Anil Kumar, Uma Maheshwar Singh, Ritesh Kumar Yadav, Lokesh Kumar Narnoliya, Shilpi Bansal, Surjeet Verma and Chirag Patel and has published in prestigious journals such as PLoS ONE, Scientific Reports and Food Chemistry.

In The Last Decade

Muktesh Chandra

18 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muktesh Chandra India 9 153 113 92 30 20 22 299
Maqsood Ahmed China 12 175 1.1× 75 0.7× 67 0.7× 31 1.0× 14 0.7× 18 342
Isabel Duarte Coutinho Brazil 10 249 1.6× 88 0.8× 74 0.8× 22 0.7× 12 0.6× 18 354
Idress Hamad Attitalla Libya 11 188 1.2× 89 0.8× 46 0.5× 32 1.1× 11 0.6× 43 336
Y. Tunginba Singh India 9 146 1.0× 73 0.6× 50 0.5× 21 0.7× 6 0.3× 24 275
Rafiq Lone India 12 291 1.9× 89 0.8× 56 0.6× 15 0.5× 21 1.1× 28 429
I. A. Oladosu Nigeria 12 206 1.3× 107 0.9× 120 1.3× 21 0.7× 8 0.4× 52 362
Aminu Ibrahim Nigeria 9 131 0.9× 62 0.5× 44 0.5× 21 0.7× 9 0.5× 34 272
Leila Tabrizi Iran 10 218 1.4× 47 0.4× 115 1.3× 22 0.7× 16 0.8× 25 329
Yanwei Fu China 9 92 0.6× 75 0.7× 124 1.3× 9 0.3× 34 1.7× 14 323
Sharad Vats India 9 240 1.6× 85 0.8× 52 0.6× 34 1.1× 9 0.5× 30 371

Countries citing papers authored by Muktesh Chandra

Since Specialization
Citations

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

Fields of papers citing papers by Muktesh Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muktesh Chandra

This figure shows the co-authorship network connecting the top 25 collaborators of Muktesh Chandra. A scholar is included among the top collaborators of Muktesh Chandra 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 Muktesh Chandra. Muktesh Chandra 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.
2.
Avashthi, Himanshu, U. B. Angadi, Dev Bukhsh Singh, et al.. (2025). A systematic review on revolutionizing veterinary drug discovery: harnessing omics data to combat complex diseases in domestic animals. Network Modeling Analysis in Health Informatics and Bioinformatics. 14(1). 1 indexed citations
3.
Saadh, Mohamed J., Muktesh Chandra, Suhas Ballal, et al.. (2025). Decoding the Role of Kinesin Superfamily Proteins in Glioma Progression. Journal of Molecular Neuroscience. 75(1). 10–10. 1 indexed citations
4.
Saadh, Mohamed J., Hanan Hassan Ahmed, Muktesh Chandra, et al.. (2025). Therapeutic effects of quercetin in oral cancer therapy: a systematic review of preclinical evidence focused on oxidative damage, apoptosis and anti-metastasis. Cancer Cell International. 25(1). 66–66. 3 indexed citations
5.
6.
Maitra, Swastika, et al.. (2025). Nanotechnology-Enhanced Extracellular Vesicles -Based Chipsets in Early Cancer Detection and Theranostics. International Journal of Nanomedicine. Volume 20. 9899–9929. 1 indexed citations
7.
8.
Chandra, Muktesh, et al.. (2024). Solving the twin paradox-forensic strategies to identify the identical twins. Forensic Science International. 363. 112205–112205. 3 indexed citations
9.
Saadh, Mohamed J., et al.. (2024). Exosomal signaling in gynecologic cancer development: The role of cancer-associated fibroblasts. Pathology - Research and Practice. 266. 155766–155766. 1 indexed citations
10.
Mishra, Bhawana & Muktesh Chandra. (2022). Evaluation of phytoremediation potential of aromatic plants: A systematic review. Journal of Applied Research on Medicinal and Aromatic Plants. 31. 100405–100405. 34 indexed citations
11.
Chandra, Muktesh, et al.. (2022). Molecular and structural insights for the regulation of terpenoids in Ocimum basilicum and Ocimum tenuiflorum. Plant Growth Regulation. 97(1). 61–75. 5 indexed citations
12.
Mishra, Bhawana, Muktesh Chandra, & Deepak Pant. (2021). Genome-mining for stress-responsive genes, profiling of antioxidants and radical scavenging metabolism in hyperaccumulator medicinal and aromatic plants. Industrial Crops and Products. 173. 114107–114107. 13 indexed citations
13.
Verma, Surjeet, Chirag Patel, & Muktesh Chandra. (2021). Identification of novel inhibitors of SARS‐CoV‐2 main protease (Mpro) from Withania sp. by molecular docking and molecular dynamics simulation. Journal of Computational Chemistry. 42(26). 1861–1872. 25 indexed citations
14.
Chandra, Muktesh, et al.. (2020). Comparative transcriptome analysis to identify putative genes related to trichome development in Ocimum species. Molecular Biology Reports. 47(9). 6587–6598. 8 indexed citations
15.
Chandra, Muktesh, Ritesh Kumar Yadav, Lokesh Kumar Narnoliya, et al.. (2019). Interspecies comparative features of trichomes in Ocimum reveal insights for biosynthesis of specialized essential oil metabolites. PROTOPLASMA. 256(4). 893–907. 47 indexed citations
16.
Pandey, Shiv Shanker, Muktesh Chandra, Alok Pandey, et al.. (2019). Application of essential oils as a natural and alternate method for inhibiting and inducing the sprouting of potato tubers. Food Chemistry. 284. 171–179. 37 indexed citations
17.
Bansal, Shilpi, Lokesh Kumar Narnoliya, Bhawana Mishra, et al.. (2018). HMG-CoA reductase from Camphor Tulsi (Ocimum kilimandscharicum) regulated MVA dependent biosynthesis of diverse terpenoids in homologous and heterologous plant systems. Scientific Reports. 8(1). 3547–3547. 31 indexed citations
18.
Tripathi, Sandhya, Jyoti Singh Jadaun, Muktesh Chandra, & Neelam S. Sangwan. (2016). Medicinal plant transcriptomes: the new gateways for accelerated understanding of plant secondary metabolism. Plant Genetic Resources. 14(4). 256–269. 21 indexed citations
19.
Singh, Uma Maheshwar, Muktesh Chandra, S. C. Shankhdhar, & Anil Kumar. (2014). Transcriptome Wide Identification and Validation of Calcium Sensor Gene Family in the Developing Spikes of Finger Millet Genotypes for Elucidating Its Role in Grain Calcium Accumulation. PLoS ONE. 9(8). e103963–e103963. 44 indexed citations
20.
Pathak, Rajiv, et al.. (2014). Homology Modeling and Comparative Profiling of Superoxide Dismutase Among Extremophiles: Exiguobacterium as a Model Organism. Indian Journal of Microbiology. 54(4). 450–458. 4 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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