D. Pramesh

919 total citations
82 papers, 532 citations indexed

About

D. Pramesh is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, D. Pramesh has authored 82 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Plant Science, 37 papers in Cell Biology and 14 papers in Molecular Biology. Recurrent topics in D. Pramesh's work include Plant Pathogens and Fungal Diseases (37 papers), Plant Disease Resistance and Genetics (31 papers) and Plant-Microbe Interactions and Immunity (22 papers). D. Pramesh is often cited by papers focused on Plant Pathogens and Fungal Diseases (37 papers), Plant Disease Resistance and Genetics (31 papers) and Plant-Microbe Interactions and Immunity (22 papers). D. Pramesh collaborates with scholars based in India, Saudi Arabia and United States. D. Pramesh's co-authors include M. K. Prasannakumar, H. B. Mahesh, V. K. Baranwal, Manoj Kumar Yadav, Umakanta Ngangkham, C. Manjunatha, Totan Adak, Pramod C. Rath, S.R. Prabhukarthikeyan and S. Raghu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

D. Pramesh

72 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Pramesh India 13 444 162 119 45 43 82 532
Komal Chenthamara Austria 12 378 0.9× 148 0.9× 191 1.6× 46 1.0× 18 0.4× 14 549
H. B. Mahesh India 14 439 1.0× 108 0.7× 192 1.6× 16 0.4× 46 1.1× 34 542
M. S. Saharan India 13 498 1.1× 141 0.9× 108 0.9× 15 0.3× 17 0.4× 103 542
Sanjeev Sharma India 13 523 1.2× 127 0.8× 96 0.8× 37 0.8× 95 2.2× 35 595
Kailash Chandra Naga India 12 534 1.2× 100 0.6× 103 0.9× 69 1.5× 73 1.7× 35 647
J. E. F. Figueiredo Brazil 14 383 0.9× 130 0.8× 100 0.8× 41 0.9× 46 1.1× 54 496
A. Ramanathan India 15 790 1.8× 201 1.2× 159 1.3× 30 0.7× 21 0.5× 60 842
J. Montealegre Chile 12 446 1.0× 154 1.0× 102 0.9× 61 1.4× 19 0.4× 37 521
Jung‐Wook Yang South Korea 13 513 1.2× 138 0.9× 169 1.4× 41 0.9× 45 1.0× 53 608
Cristina Silvar Spain 18 823 1.9× 191 1.2× 112 0.9× 17 0.4× 24 0.6× 37 863

Countries citing papers authored by D. Pramesh

Since Specialization
Citations

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

Fields of papers citing papers by D. Pramesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Pramesh

This figure shows the co-authorship network connecting the top 25 collaborators of D. Pramesh. A scholar is included among the top collaborators of D. Pramesh 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 D. Pramesh. D. Pramesh 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.
Prasannakumar, M. K., et al.. (2025). Trichoderma spp. as a novel pathogen for maize post-flowering stalk rot in India. Crop Protection. 195. 107255–107255.
2.
3.
Prasannakumar, M. K., et al.. (2024). Sarocladium kiliense: A first report of phytopathogenic fungus causing maize stalk rot in India. Physiological and Molecular Plant Pathology. 134. 102449–102449. 2 indexed citations
4.
5.
Pramesh, D., et al.. (2024). Identification and characterization of multiple fungal pathogens associated with brown spot disease of rice in India. 3 Biotech. 14(8). 187–187. 1 indexed citations
6.
Prasannakumar, M. K., et al.. (2023). Rice-Magnaporthe transcriptomics reveals host defense activation induced by red seaweed-biostimulant in rice plants. Frontiers in Genetics. 14. 1132561–1132561. 3 indexed citations
7.
Prasannakumar, M. K., Vidya Niranjan, Akshay Uttarkar, et al.. (2023). Insights on Novel Effectors and Characterization of Metacaspase (RS107_6) as a Potential Cell Death-Inducing Protein in Rhizoctonia solani. Microorganisms. 11(4). 920–920. 5 indexed citations
8.
Pramesh, D., et al.. (2022). Multilocus sequence analysis and identification of mating-type idiomorphs distribution in Magnaporthe oryzae population of Karnataka state of India. Journal of Applied Microbiology. 132(6). 4413–4429. 8 indexed citations
9.
Prasannakumar, M. K., et al.. (2022). Bacillus velezensis (strains A6 & P42) as a potential biocontrol agent against Klebsiella variicola, a new causal agent of soft rot disease in carrot. Letters in Applied Microbiology. 76(1). 4 indexed citations
10.
Prasannakumar, M. K., et al.. (2022). Decoding the microbiome and metabolome of the Panchagavya—An indigenous fermented bio‐formulation. SHILAP Revista de lepidopterología. 1(4). e63–e63. 7 indexed citations
11.
Prasannakumar, M. K., et al.. (2022). Host range and virulence diversity of Pectobacterium carotovorum subsp. brasiliense strain RDKLR infecting radish in India, and development of a LAMP-based diagnostics. Journal of Applied Microbiology. 132(6). 4400–4412. 4 indexed citations
12.
Pramesh, D., et al.. (2022). Moderate disease resistance in rice cultivars enhances the bio-efficacy of fungicides against blast disease. Indian Phytopathology. 76(1). 141–149. 1 indexed citations
13.
Pramesh, D., Shankarappa Sridhara, M. K. Prasannakumar, et al.. (2022). Spatial Distribution Patterns for Identifying Risk Areas Associated with False Smut Disease of Rice in Southern India. Agronomy. 12(12). 2947–2947. 4 indexed citations
14.
Pramesh, D., et al.. (2021). Morpho‐molecular diversity and avirulence genes distribution among the diverse isolates of  Magnaporthe oryzae from Southern India. Journal of Applied Microbiology. 132(2). 1275–1290. 15 indexed citations
15.
Prasannakumar, M. K., et al.. (2021). Diversity and biopotential of Bacillus velezensis strains A6 and P42 against rice blast and bacterial blight of pomegranate. Archives of Microbiology. 203(7). 4189–4199. 10 indexed citations
16.
Pramesh, D., et al.. (2021). First Report of Alternaria alternata Causing Leaf Spot on Oat (Avena sativa) in India. Plant Disease. 105(10). 3301–3301. 6 indexed citations
17.
Nagaraja, A., et al.. (2020). First Report of Alternaria alternata Causing Leaf Blight on Little Millet (Panicum sumatrense) in India. Plant Disease. 105(4). 1202–1202. 7 indexed citations
18.
Biradar, R S, et al.. (2020). Field performance of a new formulation of dinotefuran 70% WG against sucking pests of paddy. Journal of Entomology and Zoology Studies. 8(1). 1011–1015. 1 indexed citations
19.
Pramesh, D., et al.. (2019). First Report of ‘Candidatus Phytoplasma aurantifolia’ Associated with Phyllody Disease of Snake Weed in India. Plant Disease. 104(1). 277–277. 1 indexed citations
20.
Yadav, Manoj Kumar, Umakanta Ngangkham, S. Raghu, et al.. (2019). Blast resistance in Indian rice landraces: Genetic dissection by gene specific markers. PLoS ONE. 14(1). e0211061–e0211061. 48 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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