Ratna Karan

1.6k total citations
34 papers, 1.2k citations indexed

About

Ratna Karan is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Ratna Karan has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 16 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Ratna Karan's work include Plant Disease Resistance and Genetics (7 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Plant Molecular Biology Research (6 papers). Ratna Karan is often cited by papers focused on Plant Disease Resistance and Genetics (7 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Plant Molecular Biology Research (6 papers). Ratna Karan collaborates with scholars based in United States, India and Malaysia. Ratna Karan's co-authors include Prasanta K. Subudhi, Hanamareddy Biradar, Ashwani Pareek, Sneh L. Singla‐Pareek, Fredy Altpeter, Rohit Joshi, Aldo Merotto, John Shanklin, Ramsong Chantre Nongpiur and Sumita Kumari and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ratna Karan

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ratna Karan United States 16 922 511 145 105 100 34 1.2k
Anne Milcamps United States 12 442 0.5× 447 0.9× 58 0.4× 240 2.3× 102 1.0× 19 723
Madana M.R. Ambavaram United States 9 1.3k 1.4× 646 1.3× 79 0.5× 34 0.3× 107 1.1× 12 1.5k
Nicholas Thrower United States 9 533 0.6× 484 0.9× 112 0.8× 378 3.6× 35 0.3× 10 854
Jinmi Yoon South Korea 18 1.5k 1.7× 899 1.8× 67 0.5× 28 0.3× 240 2.4× 37 1.8k
Ruth Stadler Germany 32 2.8k 3.0× 1.4k 2.7× 63 0.4× 63 0.6× 61 0.6× 45 3.1k
Xiaoduo Lu China 20 921 1.0× 503 1.0× 41 0.3× 22 0.2× 250 2.5× 41 1.1k
Rongjian Ye China 11 539 0.6× 466 0.9× 33 0.2× 44 0.4× 113 1.1× 17 711
Tim Iven Germany 19 972 1.1× 801 1.6× 71 0.5× 224 2.1× 16 0.2× 24 1.3k
Yong‐sic Hwang South Korea 23 1.1k 1.2× 880 1.7× 55 0.4× 32 0.3× 55 0.6× 46 1.5k
Saet Buyl Lee South Korea 16 2.0k 2.2× 1.1k 2.1× 31 0.2× 243 2.3× 47 0.5× 21 2.2k

Countries citing papers authored by Ratna Karan

Since Specialization
Citations

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

Fields of papers citing papers by Ratna Karan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ratna Karan

This figure shows the co-authorship network connecting the top 25 collaborators of Ratna Karan. A scholar is included among the top collaborators of Ratna Karan 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 Ratna Karan. Ratna Karan 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.
Khan, Fiqe, et al.. (2025). A novel report of Rhizoctonia solani AG-4 HG-I associated with damping-off and wilt of quinoa (Chenopodium quinoa) in India. Physiological and Molecular Plant Pathology. 138. 102725–102725.
3.
Prasannakumar, M. K., Ratna Karan, H. B. Mahesh, et al.. (2025). Molecular and genomic insights into the pathogenicity of Sarocladium zeae causing maize stalk rot disease. Microbiological Research. 296. 128146–128146.
4.
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
5.
Öz, Mehmet Tufan, et al.. (2021). CRISPR/Cas9-Mediated Multi-Allelic Gene Targeting in Sugarcane Confers Herbicide Tolerance. SHILAP Revista de lepidopterología. 3. 673566–673566. 65 indexed citations
6.
Zhao, Yang, Jae Y. Kim, Ratna Karan, et al.. (2019). Generation of a selectable marker free, highly expressed single copy locus as landing pad for transgene stacking in sugarcane. Plant Molecular Biology. 100(3). 247–263. 11 indexed citations
7.
Biradar, Hanamareddy, Ratna Karan, & Prasanta K. Subudhi. (2018). Transgene Pyramiding of Salt Responsive Protein 3-1 (SaSRP3-1) and SaVHAc1 From Spartina alterniflora L. Enhances Salt Tolerance in Rice. Frontiers in Plant Science. 9. 1304–1304. 20 indexed citations
8.
Orbović, Vladimir, et al.. (2017). Improvement of tissue culture, genetic transformation, and applications of biotechnology toBrassica. Biotechnology and Genetic Engineering Reviews. 33(1). 1–25. 16 indexed citations
9.
Mustafiz, Ananda, Sumita Kumari, & Ratna Karan. (2016). Ascribing Functions to Genes: Journey Towards Genetic Improvement of Rice Via Functional Genomics. Current Genomics. 17(3). 155–176. 3 indexed citations
10.
Karan, Ratna. (2015). Omics Study for Abiotic Stress Responses in Plants. Advances in Plants & Agriculture Research. 2(1). 21 indexed citations
11.
Joshi, Rohit, Ratna Karan, Sneh L. Singla‐Pareek, & Ashwani Pareek. (2015). Ectopic expression of Pokkali phosphoglycerate kinase-2 (OsPGK2-P) improves yield in tobacco plants under salinity stress. Plant Cell Reports. 35(1). 27–41. 61 indexed citations
12.
13.
Subudhi, Prasanta K., P. K. Singh, Arnold Parco, et al.. (2013). Mapping of Seed Shattering Loci Provides Insights into Origin of Weedy Rice and Rice Domestication. Journal of Heredity. 105(2). 276–287. 35 indexed citations
14.
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
15.
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
16.
Karan, Ratna & Prasanta K. Subudhi. (2012). Overexpression of a nascent polypeptide associated complex gene (SaβNAC) of Spartina alterniflora improves tolerance to salinity and drought in transgenic Arabidopsis. Biochemical and Biophysical Research Communications. 424(4). 747–752. 29 indexed citations
17.
Subudhi, Prasanta K., Arnold Parco, P. K. Singh, et al.. (2012). Genetic Architecture of Seed Dormancy in U.S. Weedy Rice in Different Genetic Backgrounds. Crop Science. 52(6). 2564–2575. 30 indexed citations
18.
19.
Kumar, Gautam, Hemant R. Kushwaha, Sumita Kumari, et al.. (2012). Clustered metallothionein genes are co-regulated in rice and ectopic expression of OsMT1e-Pconfers multiple abiotic stress tolerance in tobacco via ROS scavenging. BMC Plant Biology. 12(1). 107–107. 119 indexed citations
20.
Karan, Ratna, Sneh L. Singla‐Pareek, & Ashwani Pareek. (2009). Histidine kinase and response regulator genes as they relate to salinity tolerance in rice. Functional & Integrative Genomics. 9(3). 411–417. 44 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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