Prasanta K. Subudhi

4.4k total citations
76 papers, 3.0k citations indexed

About

Prasanta K. Subudhi is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Prasanta K. Subudhi has authored 76 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Plant Science, 34 papers in Genetics and 19 papers in Molecular Biology. Recurrent topics in Prasanta K. Subudhi's work include Genetic Mapping and Diversity in Plants and Animals (33 papers), GABA and Rice Research (19 papers) and Rice Cultivation and Yield Improvement (19 papers). Prasanta K. Subudhi is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (33 papers), GABA and Rice Research (19 papers) and Rice Cultivation and Yield Improvement (19 papers). Prasanta K. Subudhi collaborates with scholars based in United States, Philippines and India. Prasanta K. Subudhi's co-authors include Henry T. Nguyen, D. T. Rosenow, Ratna Karan, Teresa B. De Leon, Steven D. Linscombe, Niranjan Baisakh, Hanamareddy Biradar, John E. Mullet, Yu-Ting Huang and Arnold Parco and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Prasanta K. Subudhi

75 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prasanta K. Subudhi United States 27 2.6k 1.2k 690 505 121 76 3.0k
Shuanghe Cao China 24 2.1k 0.8× 805 0.7× 500 0.7× 506 1.0× 50 0.4× 71 2.3k
Catherine Howarth United Kingdom 22 1.9k 0.7× 563 0.5× 611 0.9× 411 0.8× 71 0.6× 58 2.3k
Delphine Fleury Australia 29 2.5k 0.9× 608 0.5× 951 1.4× 430 0.9× 51 0.4× 48 2.8k
Elhan S. Ersoz United States 17 2.8k 1.1× 2.4k 1.9× 829 1.2× 282 0.6× 168 1.4× 17 3.9k
Marco Maccaferri Italy 37 3.5k 1.3× 1.8k 1.5× 378 0.5× 614 1.2× 169 1.4× 82 3.7k
Marcos Malosetti Netherlands 31 3.0k 1.1× 1.7k 1.4× 251 0.4× 449 0.9× 115 1.0× 56 3.3k
Francis C. Ogbonnaya Australia 33 3.0k 1.2× 900 0.7× 333 0.5× 556 1.1× 73 0.6× 82 3.2k
M. Cinta Romay United States 22 2.0k 0.7× 1.5k 1.2× 509 0.7× 219 0.4× 61 0.5× 52 2.3k
Santosh Deshpande India 19 1.5k 0.6× 829 0.7× 264 0.4× 590 1.2× 76 0.6× 58 1.9k
Assaf Distelfeld Israel 35 5.1k 1.9× 1.3k 1.0× 1.2k 1.7× 1.1k 2.1× 53 0.4× 65 5.3k

Countries citing papers authored by Prasanta K. Subudhi

Since Specialization
Citations

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

Fields of papers citing papers by Prasanta K. Subudhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prasanta K. Subudhi. 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 Prasanta K. Subudhi. The network helps show where Prasanta K. Subudhi may publish in the future.

Co-authorship network of co-authors of Prasanta K. Subudhi

This figure shows the co-authorship network connecting the top 25 collaborators of Prasanta K. Subudhi. A scholar is included among the top collaborators of Prasanta K. Subudhi 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 Prasanta K. Subudhi. Prasanta K. Subudhi 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.
Chaudhary, Chanderkant, et al.. (2025). A comparative transcriptomic analysis provides insights into molecular mechanisms driving salt tolerance in soybean. Scientific Reports. 15(1). 31869–31869. 1 indexed citations
2.
3.
Safhi, Fatmah Ahmed, et al.. (2024). Phytochemical Profiling and Bioactive Potential of Grape Seed Extract in Enhancing Salinity Tolerance of Vicia faba. Plants. 13(12). 1596–1596. 4 indexed citations
4.
Singh, Lovepreet, et al.. (2023). Genome-Wide Association Study Identified Candidate Genes for Alkalinity Tolerance in Rice. Plants. 12(11). 2206–2206. 4 indexed citations
5.
Safhi, Fatmah Ahmed, et al.. (2023). Comparison of the Morpho-Physiological and Molecular Responses to Salinity and Alkalinity Stresses in Rice. Plants. 13(1). 60–60. 6 indexed citations
6.
Subudhi, Prasanta K., et al.. (2019). Genetic Diversity, Population Structure, and Marker-Trait Association for Drought Tolerance in US Rice Germplasm. Plants. 8(12). 530–530. 21 indexed citations
7.
Windham, Gary L., et al.. (2016). Quantitative trait loci (QTL) for reducing aflatoxin accumulation in corn. Molecular Breeding. 36(12). 10 indexed citations
10.
Karan, Ratna, et al.. (2012). Salt Stress Induced Variation in DNA Methylation Pattern and Its Influence on Gene Expression in Contrasting Rice Genotypes. PLoS ONE. 7(6). e40203–e40203. 224 indexed citations
11.
Subudhi, Prasanta K., et al.. (2012). A retrotransposon-based probe for fingerprinting and evolutionary studies in rice (Oryza sativa). Genetic Resources and Crop Evolution. 60(4). 1263–1273. 2 indexed citations
12.
Baisakh, Niranjan & Prasanta K. Subudhi. (2008). Heat stress alters the expression of salt stress induced genes in smooth cordgrass (Spartina alterniflora L.). Plant Physiology and Biochemistry. 47(3). 232–235. 15 indexed citations
13.
Subudhi, Prasanta K., et al.. (2007). Identification and Genetic Characterization of Smooth Cordgrass for Coastal Wetland Restoration. Civil War Book Review. 10 indexed citations
14.
Subudhi, Prasanta K., et al.. (2005). An AFLP-based survey of genetic diversity among accessions of sea oats (Uniola paniculata, Poaceae) from the southeastern Atlantic and Gulf coast states of the United States. Theoretical and Applied Genetics. 111(8). 1632–1641. 25 indexed citations
15.
Lang, Nguyen Thi, Prasanta K. Subudhi, S. S. Virmani, et al.. (2004). Development of PCR-based Markers for Thermosensitive Genetic Male Sterility Gene tms3(t) in Rice (Oryza Sativa L.). Hereditas. 131(2). 121–127. 20 indexed citations
16.
Subudhi, Prasanta K., et al.. (2004). Mode of Pollination, Pollen Germination, and Seed Set in Smooth Cordgrass (Spartina alterniflora, Poaceae). International Journal of Plant Sciences. 165(3). 395–401. 25 indexed citations
17.
Subudhi, Prasanta K. & Henry T. Nguyen. (2000). Linkage group alignment of sorghum RFLP maps using a RIL mapping population. Genome. 43(2). 240–249. 18 indexed citations
18.
Subudhi, Prasanta K., S. S. Virmani, & Ning Huang. (1998). A TGMS-linked nuclear DNA marker as originated from the mitochondrial genome in rice (Oryza sativa L.). Heredity. 80(3). 285–292. 3 indexed citations
19.
Subudhi, Prasanta K., et al.. (1994). Genetic analysis of yield and its component traits in indian mustard (Brassica juncea) x ethiopian mustard (B. carinata) interspecific crosses. The Indian Journal of Agricultural Sciences. 64(3). 2 indexed citations
20.
Subudhi, Prasanta K., et al.. (1991). Use of pollen traits for early detection of induced micromutations in wheat. Indian Journal of Genetics and Plant Breeding (The). 51(1). 107–111. 5 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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