Prashant Mishra

4.0k total citations
157 papers, 2.9k citations indexed

About

Prashant Mishra is a scholar working on Molecular Biology, Biomedical Engineering and Plant Science. According to data from OpenAlex, Prashant Mishra has authored 157 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 37 papers in Biomedical Engineering and 30 papers in Plant Science. Recurrent topics in Prashant Mishra's work include Plant Pathogens and Fungal Diseases (19 papers), Biosensors and Analytical Detection (16 papers) and Advanced biosensing and bioanalysis techniques (13 papers). Prashant Mishra is often cited by papers focused on Plant Pathogens and Fungal Diseases (19 papers), Biosensors and Analytical Detection (16 papers) and Advanced biosensing and bioanalysis techniques (13 papers). Prashant Mishra collaborates with scholars based in India, United Kingdom and United States. Prashant Mishra's co-authors include Rajendra Prasad, R.T.V. Fox, Alastair Culham, Swati Jaiswal, Snehasis Bhakta, Bhawna Madan, Samaresh Das, Akshay Moudgil, Rama Ranganathan and Drew M. Lowery and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Prashant Mishra

146 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prashant Mishra India 31 1.3k 608 562 396 382 157 2.9k
Shigeo Suzuki Japan 32 2.0k 1.5× 1.3k 2.1× 474 0.8× 216 0.5× 187 0.5× 179 4.1k
Richard A. Frazier United Kingdom 30 1.7k 1.3× 599 1.0× 451 0.8× 103 0.3× 344 0.9× 73 4.3k
Ahmad Asoodeh Iran 32 2.3k 1.7× 327 0.5× 455 0.8× 102 0.3× 295 0.8× 156 3.5k
Youmie Park South Korea 32 880 0.7× 594 1.0× 370 0.7× 252 0.6× 1.2k 3.3× 94 3.2k
Marek Šebela Czechia 29 2.0k 1.5× 531 0.9× 1.2k 2.2× 176 0.4× 701 1.8× 145 3.9k
Thanyada Rungrotmongkol Thailand 35 1.6k 1.2× 370 0.6× 270 0.5× 105 0.3× 962 2.5× 269 4.7k
Domenico Garozzo Italy 37 2.0k 1.5× 225 0.4× 449 0.8× 261 0.7× 325 0.9× 160 4.5k
Chun‐Cheng Lin Taiwan 37 2.4k 1.8× 544 0.9× 250 0.4× 150 0.4× 456 1.2× 153 4.4k
Aichun Dong United States 29 2.2k 1.7× 377 0.6× 114 0.2× 248 0.6× 507 1.3× 45 3.7k

Countries citing papers authored by Prashant Mishra

Since Specialization
Citations

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

Fields of papers citing papers by Prashant Mishra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashant Mishra

This figure shows the co-authorship network connecting the top 25 collaborators of Prashant Mishra. A scholar is included among the top collaborators of Prashant Mishra 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 Prashant Mishra. Prashant Mishra 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.
Gupta, Mohit, Shekhar Kunal, Manu Kumar Shetty, et al.. (2025). Comparative evaluation of machine learning models versus TIMI score in ST-segment-elevation myocardial infarction patients. Indian Heart Journal. 77(3). 133–141.
2.
Mishra, Prashant, et al.. (2025). In silico design of magnetic, polymeric synthetic receptor targeting clumping factor A, for the specific capture and detection of Staphylococcus aureus. International Journal of Biological Macromolecules. 310(Pt 2). 143138–143138.
3.
Batista, Alex D., et al.. (2024). Rational design based on multi-monomer simultaneous docking for epitope imprinting of SARS-CoV-2 spike protein. Scientific Reports. 14(1). 23057–23057. 6 indexed citations
4.
Srivastava, Neha, Rajeev Singh, Basant Lal, et al.. (2024). Preparation of activated carbon from discarded microbial petri dish plastic waste and its application in hydrolytic enzyme bioprocessing and activation. Sustainable Energy Technologies and Assessments. 73. 104120–104120. 2 indexed citations
5.
Tripathi, Manikant, Neha Srivastava, S. C. Tripathi, et al.. (2024). Co-fermentation of acid treated coconut wastes using mixed Bacillus cultures for enhanced production of extracellular enzymes: Application in bioconversion of raw coconut fibers. Food and Bioproducts Processing. 146. 177–184. 1 indexed citations
6.
Das, Chanchal, et al.. (2023). Enhanced photocatalytic degradation of a hydrocortisone by biomodified and biocompatible magnetite nanoparticles and its mechanistic assessment. Journal of Industrial and Engineering Chemistry. 128. 369–382. 10 indexed citations
7.
Joseph, Shereena, et al.. (2023). Guided mode resonance immunosensor for label-free detection of pathogenic bacteria Pseudomonas aeruginosa. Biosensors and Bioelectronics. 241. 115695–115695. 13 indexed citations
8.
Mishra, Prashant, Wei-Chun Au, Lars Boeckmann, et al.. (2023). Misregulation of cell cycle-dependent methylation of budding yeast CENP-A contributes to chromosomal instability. Molecular Biology of the Cell. 34(10). ar99–ar99. 2 indexed citations
9.
Ganguly, Preetha, et al.. (2023). A magnetically controlled microfluidic device for concentration dependent in vitro testing of anticancer drug. Lab on a Chip. 23(19). 4352–4365. 10 indexed citations
11.
Bhakta, Snehasis, et al.. (2021). Biomarker imprinted magnetic core–shell nanoparticles for rapid, culture free detection of pathogenic bacteria. Journal of Materials Chemistry B. 9(10). 2436–2446. 30 indexed citations
12.
Mishra, Prashant, et al.. (2021). Collar rot disease of Lentil caused by Sclerotium rolfsii and its management. Journal of Pharmacognosy and Phytochemistry. 10(2). 1012–1016. 2 indexed citations
13.
Purwar, Roli, et al.. (2021). Cetyl Trimethyl Ammonium Bromide Modified Montmorillonite‐Doped Tasar Silk Fibroin/Polyvinyl Alcohol Blend 3D Nanowebs for Tissue Engineering Applications. Macromolecular Materials and Engineering. 306(11). 10 indexed citations
14.
Moudgil, Akshay, et al.. (2019). Azurin-TiO 2 hybrid nanostructure field effect transistor for efficient ultraviolet detection. Nanotechnology. 30(49). 495205–495205. 23 indexed citations
15.
Jain, Sachin, et al.. (2019). In vitro evaluation of different fungicides against Fusarium moniliforme- causing bakanae disease of rice. International Journal of Chemical Studies. 7(3). 1672–1677. 1 indexed citations
16.
Singh, Jaskaran, et al.. (2019). Studies on the compatibility of Trichoderma spp. with nematicides under in vitro conditions. Journal of Pharmacognosy and Phytochemistry. 8. 8–11. 1 indexed citations
17.
Singh, Ramesh, et al.. (2015). Determination of mycoflora associated with pea (Pisum sativum) seeds.. 31(1). 101–103. 1 indexed citations
18.
Kumar, Ravinder, et al.. (2008). Effect of Media, Temperature and pH on Growth and Sclerotial Production of Sclerotium rolfsii. Annals of Plant Protection Sciences. 16(2). 531–532. 6 indexed citations
19.
Mishra, Prashant, et al.. (2004). Suppression of Fusarium oxysporum f. sp. gladioli populations in soil by application of Trichoderma virens and in vitro approaches for understanding biological control mechanisms. Indian Phytopathology. 57(1). 44–47. 5 indexed citations
20.
Mishra, Prashant, R.T.V. Fox, & Alastair Culham. (2002). Restriction analysis of PCR amplified nrDNA regions revealed intraspecific variation within populations ofFusarium culmorum. FEMS Microbiology Letters. 215(2). 291–296. 28 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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