J. Ashwin Narayan

576 total citations
15 papers, 380 citations indexed

About

J. Ashwin Narayan is a scholar working on Plant Science, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, J. Ashwin Narayan has authored 15 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 5 papers in Molecular Biology and 5 papers in Biomedical Engineering. Recurrent topics in J. Ashwin Narayan's work include Sugarcane Cultivation and Processing (8 papers), Plant Stress Responses and Tolerance (7 papers) and Biofuel production and bioconversion (5 papers). J. Ashwin Narayan is often cited by papers focused on Sugarcane Cultivation and Processing (8 papers), Plant Stress Responses and Tolerance (7 papers) and Biofuel production and bioconversion (5 papers). J. Ashwin Narayan collaborates with scholars based in India, Thailand and Ireland. J. Ashwin Narayan's co-authors include C. Appunu, N. Subramonian, Chakravarthi Mohan, Divya P. Syamaladevi, Sruthy Maria Augustine, V. Ravichandran, Narendra Tuteja, V. M. Manoj, S. Akila Parvathy Dharshini and Bakshi Ram and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Sustainability.

In The Last Decade

J. Ashwin Narayan

14 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Ashwin Narayan India	10	356	173	90	29	10	15	380
Guilong Lu China	11	274 0.8×	152 0.9×	56 0.6×	28 1.0×	6 0.6×	24	331
Bhuvan Pathak United States	10	268 0.8×	231 1.3×	93 1.0×	25 0.9×	26 2.6×	14	388
Ziliang Luo United States	15	430 1.2×	190 1.1×	89 1.0×	68 2.3×	7 0.7×	24	512
N. M. R. Ashwin India	11	242 0.7×	68 0.4×	90 1.0×	21 0.7×	7 0.7×	22	274
Zhuqing Wang China	8	284 0.8×	115 0.7×	67 0.7×	14 0.5×	8 0.8×	15	311
Mintu Ram Meena India	13	316 0.9×	85 0.5×	101 1.1×	77 2.7×	3 0.3×	34	348
V. M. Manoj India	11	280 0.8×	119 0.7×	94 1.0×	33 1.1×	10 1.0×	15	306
Lívia Vargas Brazil	6	275 0.8×	185 1.1×	109 1.2×	7 0.2×	23 2.3×	6	372
Zhoutao Wang China	11	307 0.9×	100 0.6×	59 0.7×	38 1.3×	2 0.2×	24	337
Xiuting Hua China	10	340 1.0×	146 0.8×	92 1.0×	18 0.6×	5 0.5×	22	377

Countries citing papers authored by J. Ashwin Narayan

Since Specialization

Citations

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

Fields of papers citing papers by J. Ashwin Narayan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Ashwin Narayan. 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 J. Ashwin Narayan. The network helps show where J. Ashwin Narayan may publish in the future.

Co-authorship network of co-authors of J. Ashwin Narayan

This figure shows the co-authorship network connecting the top 25 collaborators of J. Ashwin Narayan. A scholar is included among the top collaborators of J. Ashwin Narayan 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 J. Ashwin Narayan. J. Ashwin Narayan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Dharshini, S. Akila Parvathy, V. M. Manoj, J. Ashwin Narayan, et al.. (2025). Overexpression of Abiotic Stress-Responsive SsCor413-1 Gene Enhances Salt and Drought Tolerance in Sugarcane (Saccharum spp. Hybrid). International Journal of Molecular Sciences. 26(20). 9868–9868.

Ramanathan, Valarmathi, et al.. (2023). Physiological Characterization of Tripidium arundinaceum and Sugarcane (Saccharum spp.) Germplasm for Salinity Stress Tolerance at the Formative Stage. Sustainability. 15(8). 6962–6962. 2 indexed citations

Narayan, J. Ashwin, V. M. Manoj, Chakravarthi Mohan, et al.. (2023). Transgenic sugarcane with higher levels of BRK1 showed improved drought tolerance. Plant Cell Reports. 42(10). 1611–1628. 11 indexed citations

Narayan, J. Ashwin, Prathima Thirugnanasambandam, Valarmathi Ramanathan, et al.. (2023). Genome-Wide Identification, Characterization and Expression Analysis of Plant Nuclear Factor (NF-Y) Gene Family Transcription Factors in Saccharum spp.. Genes. 14(6). 1147–1147. 12 indexed citations

Ramanathan, Valarmathi, et al.. (2020). CHARACTERIZATION AND IN SILICO ANALYSES OF RTCS GENE FROM SUGARCANE ENCODING LOB PROTEIN FAMILY OF TRANSCRIPTION FACTORS: A KEY REGULATOR OF SHOOT-BORNE ROOT INITIATION. SHILAP Revista de lepidopterología. 10(1). 12–12. 2 indexed citations

Narayan, J. Ashwin, Chakravarthi Mohan, V. M. Manoj, et al.. (2020). Overexpression of expansin EaEXPA1, a cell wall loosening protein enhances drought tolerance in sugarcane. Industrial Crops and Products. 159. 113035–113035. 43 indexed citations

Appunu, C., et al.. (2020). Variability and molecular diversity of wild sugarcane germplasm collected from low temperature regions Lohit and Changlang of Arunachal Pradesh. 1 indexed citations

Dharshini, S. Akila Parvathy, V. M. Manoj, J. Ashwin Narayan, et al.. (2020). Isolation and Characterization of Nuclear Localized Abiotic Stress Responsive Cold Regulated Gene 413 (SsCor413) from Saccharum spontaneum. Plant Molecular Biology Reporter. 38(4). 628–640. 17 indexed citations

Manoj, V. M., S. Akila Parvathy Dharshini, J. Ashwin Narayan, et al.. (2019). Comparative analysis of glyoxalase pathway genes in Erianthus arundinaceus and commercial sugarcane hybrid under salinity and drought conditions. BMC Genomics. 19(S9). 986–986. 38 indexed citations

10.

Narayan, J. Ashwin, S. Akila Parvathy Dharshini, V. M. Manoj, et al.. (2019). Isolation and characterization of water-deficit stress-responsive α-expansin 1 (EXPA1) gene from Saccharum complex. 3 Biotech. 9(5). 186–186. 24 indexed citations

11.

Manoj, V. M., et al.. (2019). In silico characterisation and functional validation of chilling tolerant divergence 1 (COLD1) gene in monocots during abiotic stress. Functional Plant Biology. 46(6). 524–532. 11 indexed citations

12.

Augustine, Sruthy Maria, J. Ashwin Narayan, Divya P. Syamaladevi, et al.. (2015). Introduction of Pea DNA Helicase 45 into Sugarcane (Saccharum spp. Hybrid) Enhances Cell Membrane Thermostability and Upregulation of Stress-Responsive Genes Leads to Abiotic Stress Tolerance. Molecular Biotechnology. 57(5). 475–488. 32 indexed citations

13.

Mohan, Chakravarthi, J. Ashwin Narayan, N. Subramonian, & C. Appunu. (2015). Development of novel synthetic promoters for gene expression in transgenic sugarcane.. 5(2). 42–52. 1 indexed citations

14.

Augustine, Sruthy Maria, J. Ashwin Narayan, Divya P. Syamaladevi, et al.. (2014). Erianthus arundinaceus HSP70 (EaHSP70) overexpression increases drought and salinity tolerance in sugarcane (Saccharum spp. hybrid). Plant Science. 232. 23–34. 86 indexed citations

15.

Augustine, Sruthy Maria, J. Ashwin Narayan, Divya P. Syamaladevi, et al.. (2014). Overexpression of EaDREB2 and pyramiding of EaDREB2 with the pea DNA helicase gene (PDH45) enhance drought and salinity tolerance in sugarcane (Saccharum spp. hybrid). Plant Cell Reports. 34(2). 247–263. 100 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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