Ganesan Prakash

761 total citations
35 papers, 454 citations indexed

About

Ganesan Prakash is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Ganesan Prakash has authored 35 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 17 papers in Cell Biology and 14 papers in Molecular Biology. Recurrent topics in Ganesan Prakash's work include Plant-Microbe Interactions and Immunity (19 papers), Plant Pathogens and Fungal Diseases (17 papers) and Plant Disease Resistance and Genetics (8 papers). Ganesan Prakash is often cited by papers focused on Plant-Microbe Interactions and Immunity (19 papers), Plant Pathogens and Fungal Diseases (17 papers) and Plant Disease Resistance and Genetics (8 papers). Ganesan Prakash collaborates with scholars based in India, United States and Austria. Ganesan Prakash's co-authors include Aundy Kumar, S. Gopala Krishnan, Neelam Sheoran, Robin Gogoi, Rashmi Aggarwal, Rajeev Rathour, Bishnu Maya Bashyal, Mushineni Ashajyothi, Vinay Sharma and H. Rajashekara and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Frontiers in Microbiology.

In The Last Decade

Ganesan Prakash

35 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ganesan Prakash India 12 403 129 128 53 27 35 454
M. S. Saharan India 13 498 1.2× 108 0.8× 141 1.1× 38 0.7× 10 0.4× 103 542
Shaukat Hussain Pakistan 7 349 0.9× 87 0.7× 138 1.1× 25 0.5× 34 1.3× 28 411
U. Keerthana India 13 352 0.9× 108 0.8× 123 1.0× 33 0.6× 9 0.3× 33 391
Chaw Ei Htwe Maung South Korea 14 335 0.8× 138 1.1× 131 1.0× 16 0.3× 26 1.0× 25 428
Hee Wan Kang South Korea 8 313 0.8× 69 0.5× 101 0.8× 41 0.8× 31 1.1× 17 364
Hushna Ara Naznin Japan 10 410 1.0× 150 1.2× 115 0.9× 14 0.3× 24 0.9× 15 489
Jae‐Hyun Moon South Korea 13 327 0.8× 126 1.0× 140 1.1× 21 0.4× 10 0.4× 19 421
Joshitha Vijayan India 10 456 1.1× 184 1.4× 56 0.4× 112 2.1× 9 0.3× 25 502
N. Kumaravadivel India 7 565 1.4× 120 0.9× 46 0.4× 147 2.8× 13 0.5× 39 637
X. Jin United States 8 290 0.7× 56 0.4× 136 1.1× 16 0.3× 35 1.3× 10 341

Countries citing papers authored by Ganesan Prakash

Since Specialization
Citations

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

Fields of papers citing papers by Ganesan Prakash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganesan Prakash

This figure shows the co-authorship network connecting the top 25 collaborators of Ganesan Prakash. A scholar is included among the top collaborators of Ganesan Prakash 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 Ganesan Prakash. Ganesan Prakash 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.
Jha, Girish Kumar, et al.. (2025). Identification of potent phytochemicals against Magnaporthe oryzae through machine learning aided-virtual screening and molecular dynamics simulation approach. Computers in Biology and Medicine. 188. 109862–109862. 2 indexed citations
2.
Singh, Swati, et al.. (2024). Novel SNPs Linked to Blast Resistance Genes Identified in Pearl Millet Through Genome-Wide Association Models. International Journal of Molecular Sciences. 25(22). 12048–12048. 1 indexed citations
3.
Mallikarjuna, Mallana Gowdra, Shilpi Bansal, Bishnu Maya Bashyal, et al.. (2024). Genome-wide characterization of the NBLRR gene family provides evolutionary and functional insights into blast resistance in pearl millet (Cenchrus americanus (L.) Morrone). Planta. 259(6). 143–143. 2 indexed citations
4.
Ashajyothi, Mushineni, S. Mahadevakumar, Ganesan Prakash, et al.. (2024). Comprehensive genomic analysis of Bacillus subtilis and Bacillus paralicheniformis associated with the pearl millet panicle reveals their antimicrobial potential against important plant pathogens. BMC Plant Biology. 24(1). 197–197. 4 indexed citations
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Bansal, Shilpi, Mallana Gowdra Mallikarjuna, Bhaskar Reddy, et al.. (2023). Characterization and validation of hypothetical virulence factors in recently sequenced genomes of Magnaporthe species. Physiological and Molecular Plant Pathology. 124. 101969–101969. 7 indexed citations
8.
Singh, Niraj, Ranjith Kumar Ellur, Ganesan Prakash, et al.. (2023). Genetic Enhancement for Biotic Stress Resistance in Basmati Rice through Marker-Assisted Backcross Breeding. International Journal of Molecular Sciences. 24(22). 16081–16081. 2 indexed citations
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Ashajyothi, Mushineni, Shanu Kumar, Ganesan Prakash, et al.. (2023). Enhancing defense against rice blast disease: Unveiling the role of leaf endophytic firmicutes in antifungal antibiosis and induced systemic resistance. Microbial Pathogenesis. 184. 106326–106326. 12 indexed citations
12.
Kundu, Aditi, et al.. (2023). Metabolomic profiling and its association with the bio-efficacy of Aspergillus niger strain against Fusarium wilt of guava. Frontiers in Microbiology. 14. 1142144–1142144. 3 indexed citations
13.
Patel, Asharani, Kuleshwar Prasad Sahu, Sahil Mehta, et al.. (2023). New Insights on Endophytic Microbacterium-Assisted Blast Disease Suppression and Growth Promotion in Rice: Revelation by Polyphasic Functional Characterization and Transcriptomics. Microorganisms. 11(2). 362–362. 8 indexed citations
14.
Bashyal, Bishnu Maya, S. Gopala Krishnan, Himanshu Dubey, et al.. (2021). Identification and expression analysis of pathogenicity-related genes of Rhizoctonia solani anastomosis groups infecting rice. 3 Biotech. 11(8). 394–394. 3 indexed citations
15.
Mehta, Sahil, Aundy Kumar, V. Mohan Murali Achary, et al.. (2021). Antifungal and defense elicitor activity of Potassium phosphite against fungal blast disease on ptxD-OE transgenic indica rice and its acceptor parent. Pesticide Biochemistry and Physiology. 182. 105026–105026. 3 indexed citations
16.
Sankar, S. Mukesh, S. P. Singh, Ganesan Prakash, et al.. (2021). Deciphering Genotype-By-Environment Interaction for Target Environmental Delineation and Identification of Stable Resistant Sources Against Foliar Blast Disease of Pearl Millet. Frontiers in Plant Science. 12. 656158–656158. 23 indexed citations
17.
Nayaka, S. Chandra, H. Rajashekara, Ganesan Prakash, C. Tara Satyavathi, & Rajan Sharma. (2021). Blast Disease of Cereal Crops. 11 indexed citations
18.
Reddy, Bhaskar, Aundy Kumar, Sahil Mehta, et al.. (2021). Hybrid de novo genome-reassembly reveals new insights on pathways and pathogenicity determinants in rice blast pathogen Magnaporthe oryzae RMg_Dl. Scientific Reports. 11(1). 22922–22922. 11 indexed citations
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Kumar, Amit, B. N. Devanna, Pankaj Kumar Singh, et al.. (2017). Co-transformation mediated stacking of blast resistance genes Pi54 and Pi54rh in rice provides broad spectrum resistance against Magnaporthe oryzae. Plant Cell Reports. 36(11). 1747–1755. 27 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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