Deepa Jaganathan

2.3k total citations · 1 hit paper
21 papers, 1.5k citations indexed

About

Deepa Jaganathan is a scholar working on Plant Science, Genetics and Computer Networks and Communications. According to data from OpenAlex, Deepa Jaganathan has authored 21 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 3 papers in Genetics and 1 paper in Computer Networks and Communications. Recurrent topics in Deepa Jaganathan's work include Genetic and Environmental Crop Studies (10 papers), Agricultural pest management studies (9 papers) and Legume Nitrogen Fixing Symbiosis (5 papers). Deepa Jaganathan is often cited by papers focused on Genetic and Environmental Crop Studies (10 papers), Agricultural pest management studies (9 papers) and Legume Nitrogen Fixing Symbiosis (5 papers). Deepa Jaganathan collaborates with scholars based in India, Australia and Mali. Deepa Jaganathan's co-authors include Rajeev K. Varshney, Mahendar Thudi, Jayabalan Shilpha, Gayatri Venkataraman, Gothandapani Sellamuthu, Pooran M. Gaur, Manish Roorkiwal, Abhishek Bohra, Tim Sutton and Junichi Kashiwagi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Gene.

In The Last Decade

Deepa Jaganathan

20 papers receiving 1.5k citations

Hit Papers

CRISPR for Crop Improvement: An Update Review 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepa Jaganathan India 13 1.3k 381 229 96 70 21 1.5k
Changjie Yan China 17 1.2k 0.9× 370 1.0× 572 2.5× 35 0.4× 52 0.7× 38 1.4k
Genying Li China 22 1.2k 0.9× 418 1.1× 188 0.8× 23 0.2× 153 2.2× 62 1.3k
Casiana Vera Cruz Philippines 21 1.5k 1.1× 370 1.0× 138 0.6× 62 0.6× 35 0.5× 44 1.6k
Xianrong Xie China 20 863 0.7× 885 2.3× 323 1.4× 35 0.4× 16 0.2× 43 1.3k
Anna Nadolska‐Orczyk Poland 23 1.3k 1.0× 708 1.9× 208 0.9× 31 0.3× 133 1.9× 61 1.4k
Davoud Torkamaneh Canada 21 1.0k 0.8× 418 1.1× 332 1.4× 48 0.5× 78 1.1× 77 1.3k
Yang Jae Kang South Korea 19 912 0.7× 360 0.9× 73 0.3× 38 0.4× 26 0.4× 42 1.1k
M. Małuszyński Poland 16 1.5k 1.2× 916 2.4× 107 0.5× 50 0.5× 59 0.8× 38 1.7k
Changtian Pan China 20 1.4k 1.0× 1.4k 3.8× 128 0.6× 32 0.3× 21 0.3× 40 1.8k
Boshu Li China 13 767 0.6× 831 2.2× 159 0.7× 12 0.1× 28 0.4× 20 1.2k

Countries citing papers authored by Deepa Jaganathan

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Jaganathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepa Jaganathan

This figure shows the co-authorship network connecting the top 25 collaborators of Deepa Jaganathan. A scholar is included among the top collaborators of Deepa Jaganathan 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 Deepa Jaganathan. Deepa Jaganathan 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.
Manickam, A., et al.. (2025). Influence of Hydrogen Introduced Drying Atmosphere on Drying Kinetics, Phenolic Profile, and Rehydration Behavior of Tomato Slices. Journal of Food Process Engineering. 48(2). 1 indexed citations
4.
Jaganathan, Deepa, Dadakhalandar Doddamani, Gothandapani Sellamuthu, et al.. (2023). A conserved SNP variation in the pre-miR396c flanking region in Oryza sativa indica landraces correlates with mature miRNA abundance. Scientific Reports. 13(1). 2195–2195. 1 indexed citations
5.
Barmukh, Rutwik, Manish Roorkiwal, Vanika Garg, et al.. (2022). Genetic variation in CaTIFY4b contributes to drought adaptation in chickpea. Plant Biotechnology Journal. 20(9). 1701–1715. 24 indexed citations
6.
Shilpha, Jayabalan, et al.. (2022). Morpho-physiological, biochemical and molecular characterization of coastal rice landraces to identify novel genetic sources of salinity tolerance. Plant Physiology and Biochemistry. 187. 50–66. 4 indexed citations
7.
Rana, Nitika, Peter Civáň, Gothandapani Sellamuthu, et al.. (2022). Diversity of Sodium Transporter HKT1;5 in Genus Oryza. Rice Science. 29(1). 31–46. 3 indexed citations
8.
Jaganathan, Deepa, et al.. (2021). Estimating genetic diversity in Sorghum bicolor using molecular markers. Journal of Environmental Biology. 42(6). 1488–1494. 1 indexed citations
9.
Jaganathan, Deepa, Abhishek Bohra, Mahendar Thudi, & Rajeev K. Varshney. (2020). Fine mapping and gene cloning in the post-NGS era: advances and prospects. Theoretical and Applied Genetics. 133(5). 1791–1810. 79 indexed citations
10.
Jaganathan, Deepa, et al.. (2020). Creation of novel alleles of fragrance gene OsBADH2 in rice through CRISPR/Cas9 mediated gene editing. PLoS ONE. 15(8). e0237018–e0237018. 72 indexed citations
12.
Sivasakthi, Kaliamoorthy, Mahendar Thudi, Murugesan Tharanya, et al.. (2018). Plant vigour QTLs co-map with an earlier reported QTL hotspot for drought tolerance while water saving QTLs map in other regions of the chickpea genome. BMC Plant Biology. 18(1). 29–29. 49 indexed citations
13.
Jaganathan, Deepa, et al.. (2018). CRISPR for Crop Improvement: An Update Review. Frontiers in Plant Science. 9. 985–985. 347 indexed citations breakdown →
14.
Singh, Vikas Kumar, Aamir W. Khan, Deepa Jaganathan, et al.. (2016). QTL‐seq for rapid identification of candidate genes for 100‐seed weight and root/total plant dry weight ratio under rainfed conditions in chickpea. Plant Biotechnology Journal. 14(11). 2110–2119. 153 indexed citations
15.
Kale, Sandip M., Deepa Jaganathan, Pradeep Ruperao, et al.. (2015). Prioritization of candidate genes in “QTL-hotspot” region for drought tolerance in chickpea (Cicer arietinum L.). Scientific Reports. 5(1). 15296–15296. 114 indexed citations
16.
Varshney, Rajeev K., Reyazul Rouf Mir, Sabhyata Bhatia, et al.. (2014). Integrated physical, genetic and genome map of chickpea (Cicer arietinum L.). Functional & Integrative Genomics. 14(1). 59–73. 42 indexed citations
17.
Jaganathan, Deepa, Mahendar Thudi, Sandip M. Kale, et al.. (2014). Genotyping-by-sequencing based intra-specific genetic map refines a ‘‘QTL-hotspot” region for drought tolerance in chickpea. Molecular Genetics and Genomics. 290(2). 559–571. 157 indexed citations
18.
Varshney, Rajeev K., Pooran M. Gaur, Siva K. Chamarthi, et al.. (2013). Fast‐Track Introgression of “ QTL‐hotspot” for Root Traits and Other Drought Tolerance Traits in JG 11, an Elite and Leading Variety of Chickpea. The Plant Genome. 6(3). 135 indexed citations
19.
Varshney, Rajeev K., Mahendar Thudi, Spurthi N. Nayak, et al.. (2013). Genetic dissection of drought tolerance in chickpea (Cicer arietinum L.). Theoretical and Applied Genetics. 127(2). 445–462. 279 indexed citations
20.
Varshney, Rajeev K., Pooran M. Gaur, Siva K. Chamarthi, et al.. (2013). Fast-track introgression of “QTL-hotspot” for root traits and other drought tolerance trait in JG 11, an elite and leading variety of chickpea (Cicer arietinum L.). Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics). 14 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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