Parmeshwar K. Sahu

595 total citations
41 papers, 372 citations indexed

About

Parmeshwar K. Sahu is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Parmeshwar K. Sahu has authored 41 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Plant Science, 8 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Parmeshwar K. Sahu's work include GABA and Rice Research (15 papers), Rice Cultivation and Yield Improvement (15 papers) and Plant Genetic and Mutation Studies (11 papers). Parmeshwar K. Sahu is often cited by papers focused on GABA and Rice Research (15 papers), Rice Cultivation and Yield Improvement (15 papers) and Plant Genetic and Mutation Studies (11 papers). Parmeshwar K. Sahu collaborates with scholars based in India, Austria and Nepal. Parmeshwar K. Sahu's co-authors include Amarendra Narayan Misra, Deepak Sharma, Suvendu Mondal, Bikram Das, M. Kar, P. K. Singh, N. K. Das, Vinay Kumar, Vikash Kumar and Sudhir Singh and has published in prestigious journals such as PLoS ONE, Food Chemistry and Frontiers in Plant Science.

In The Last Decade

Parmeshwar K. Sahu

34 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Parmeshwar K. Sahu India 10 334 94 64 18 16 41 372
Elisa Serra Negra Vieira Brazil 10 279 0.8× 65 0.7× 60 0.9× 37 2.1× 14 0.9× 52 319
Chuan Zheng China 10 383 1.1× 151 1.6× 42 0.7× 8 0.4× 10 0.6× 16 485
Juhi Chaudhary United States 9 650 1.9× 174 1.9× 58 0.9× 20 1.1× 6 0.4× 15 704
Zarqa Nawaz China 12 469 1.4× 212 2.3× 36 0.6× 9 0.5× 36 2.3× 19 525
Detian Cai China 11 359 1.1× 190 2.0× 81 1.3× 11 0.6× 7 0.4× 25 395
Xiaotang Sun China 9 269 0.8× 94 1.0× 56 0.9× 15 0.8× 10 0.6× 25 337
Zhou Shao-chuan China 10 321 1.0× 87 0.9× 96 1.5× 14 0.8× 17 1.1× 20 345
Sam D. Cook Australia 7 317 0.9× 178 1.9× 46 0.7× 16 0.9× 14 0.9× 8 378
R.S. Raje India 9 403 1.2× 112 1.2× 77 1.2× 16 0.9× 20 1.3× 38 473
Jinghuan Zhu China 12 319 1.0× 95 1.0× 106 1.7× 37 2.1× 17 1.1× 31 365

Countries citing papers authored by Parmeshwar K. Sahu

Since Specialization
Citations

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

Fields of papers citing papers by Parmeshwar K. Sahu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parmeshwar K. Sahu

This figure shows the co-authorship network connecting the top 25 collaborators of Parmeshwar K. Sahu. A scholar is included among the top collaborators of Parmeshwar K. Sahu 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 Parmeshwar K. Sahu. Parmeshwar K. Sahu 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.
Sahu, Parmeshwar K., Anjali Chauhan, Rahul Checker, et al.. (2024). Biochemical foundation of the aroma and antioxidant activity of Indian traditional rice landrace Maharaji and the effect of radiation-induced mutagenesis on its metabolome. Food Chemistry. 460(Pt 3). 140668–140668.
3.
Roy, Anirban, et al.. (2023). Conventional and new-breeding technologies for improving disease resistance in lentil (Lens culinaris Medik). Frontiers in Plant Science. 13. 1001682–1001682. 9 indexed citations
4.
Sahu, Parmeshwar K., Devendra Kumar Choudhary, Vinay Kumar, et al.. (2022). Advancement in the Breeding, Biotechnological and Genomic Tools towards Development of Durable Genetic Resistance against the Rice Blast Disease. Plants. 11(18). 2386–2386. 36 indexed citations
5.
Sahu, Parmeshwar K., et al.. (2021). Spectrum and frequency of macro and micro mutations induced through gamma rays in traditional rice landraces of Chhattisgarh. Electronic Journal of Plant Breeding. 12(3). 693–706. 3 indexed citations
6.
Sahu, Parmeshwar K., et al.. (2020). Comparative study of radio-sensitivity and relative biological effectiveness of gamma rays, x-rays, electron beam and proton beam in short grain aromatic rice. Indian Journal of Genetics and Plant Breeding (The). 80(4). 9 indexed citations
7.
Sahu, Parmeshwar K., et al.. (2020). Genetic insights into fatty acid components of traditional Indian rice (Oryza sativa L.) landraces from Chhattisgarh. Indian Journal of Genetics and Plant Breeding (The). 79(4). 1 indexed citations
8.
9.
Dash, SK, et al.. (2018). Evaluation of determinate tomato (Solanum lycopersicum L.) under Bhubaneswar conditions. Journal of Pharmacognosy and Phytochemistry. 7(5). 2970–2973.
10.
Sharma, Deepak, et al.. (2018). Heterosis studies for yield and yield components using CMS lines in rice (Oryza sativa L.). International Journal of Chemical Studies. 6(3). 2192–2198.
11.
Sahu, Parmeshwar K., et al.. (2017). InDel marker based genetic differentiation and genetic diversity in traditional rice (Oryza sativa L.) landraces of Chhattisgarh, India. PLoS ONE. 12(11). e0188864–e0188864. 18 indexed citations
12.
Ghosh, Amlan, et al.. (2017). In vitro evaluation of fungicides against Pyricularia oryzae (Cav.) causing rice blast disease. International Journal of Chemical Studies. 5(4). 506–509. 2 indexed citations
13.
Sahu, Parmeshwar K., et al.. (2015). Gene action and combining ability analyses to develop NPT based rice hybrids in Chhattisgarh plains. Electronic Journal of Plant Breeding. 6(2). 366–372. 2 indexed citations
14.
Sahu, Parmeshwar K., et al.. (2014). Identification of Restorers and Maintainers for Development of Rice Hybrids using WA and Kalinga sources of CMS lines. Electronic Journal of Plant Breeding. 5(4). 752–755. 3 indexed citations
15.
Sahu, Parmeshwar K., et al.. (2014). Decision support system for fertilizer recommendation–A case study. Indian Journal of Agronomy. 59(2). 344–349. 2 indexed citations
16.
Sanghera, Gulzar S., et al.. (2013). Tailoring rice plants for sustainable yield through ideotype breeding and physiological interventions. African Journal of Agricultural Research. 8(40). 5004–5019. 21 indexed citations
17.
Sahu, Parmeshwar K., et al.. (2009). COMBINING ABILITY AND NATURE OF GENE ACTION IN SESAMUM (SESAMUM INDICUM L.). Indian Journal of Agricultural Research. 43(2). 119–123.
18.
Sahu, Parmeshwar K., et al.. (2008). STUDIES ON SKEWNESS, KURTOSIS AND TRANSGRESSIVE VARIATION IN M2 POPULATIONS OF RICE BEAN (VIGNA UMBELATA) VARIETIES. Legume Research - An International Journal. 31(2). 94–99. 1 indexed citations
19.
Sahu, Parmeshwar K., et al.. (2008). HETEROSIS AND ITS RELATIONSHIP WITH COMBINING ABILITY, PARENTAL DIVERSITY AND PER SE PERFORMANCE IN SESAME. Agricultural science digest. 28(4). 254–257. 1 indexed citations
20.
Sahu, Parmeshwar K., et al.. (1999). Evaluation of tetraploids for triploid breeding in mulberry. Indian Journal of Genetics and Plant Breeding (The). 59(4). 515–522. 1 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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