Ravindra Donde

680 total citations · 1 hit paper
21 papers, 432 citations indexed

About

Ravindra Donde is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Ravindra Donde has authored 21 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 9 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Ravindra Donde's work include Genetic Mapping and Diversity in Plants and Animals (9 papers), Rice Cultivation and Yield Improvement (9 papers) and GABA and Rice Research (7 papers). Ravindra Donde is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (9 papers), Rice Cultivation and Yield Improvement (9 papers) and GABA and Rice Research (7 papers). Ravindra Donde collaborates with scholars based in India and United States. Ravindra Donde's co-authors include Lambodar Behera, Gayatri Gouda, Ramakrishna Vadde, Manoj Kumar Gupta, Vemula Sarojamma, Jitendra Kumar, Manoj Gupta, Sushanta Kumar Dash, Trilochan Mohapatra and Khirod Kumar Sahoo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Experimental Botany.

In The Last Decade

Ravindra Donde

20 papers receiving 417 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

In-silico approaches to detect inhibitors of the human severe acute respiratory syndrome coronavirus envelope protein ion channel

2020 221 citations Manoj Kumar Gupta, Vemula Sarojamma et al. Journal of Biomolecular Structure and Dynamics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ravindra Donde India	9	183	138	126	112	60	21	432
Gayatri Gouda India	9	153 0.8×	151 1.1×	126 1.0×	124 1.1×	44 0.7×	20	429
Manoj Kumar Gupta India	7	39 0.2×	138 1.0×	149 1.2×	101 0.9×	23 0.4×	25	356
Alshaimaa M. Hamoda Egypt	11	74 0.4×	71 0.5×	50 0.4×	104 0.9×	16 0.3×	19	352
Muhammad Zubair Ghouri Pakistan	5	58 0.3×	104 0.8×	71 0.6×	127 1.1×	16 0.3×	5	248
Bhupender Singh India	12	49 0.3×	52 0.4×	71 0.6×	90 0.8×	21 0.3×	25	298
Md. Samiul Islam Bangladesh	11	96 0.5×	37 0.3×	67 0.5×	78 0.7×	13 0.2×	30	293
Chia‐Shin Yang Taiwan	8	23 0.1×	132 1.0×	91 0.7×	102 0.9×	16 0.3×	20	332
Balbino Lino dos Santos Brazil	9	59 0.3×	126 0.9×	24 0.2×	156 1.4×	18 0.3×	18	636
Sathishkumar Chinnasamy India	11	19 0.1×	117 0.8×	147 1.2×	208 1.9×	47 0.8×	18	400
Niranjan Kumar India	9	90 0.5×	78 0.6×	85 0.7×	85 0.8×	7 0.1×	29	319

Countries citing papers authored by Ravindra Donde

Since Specialization

Citations

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

Fields of papers citing papers by Ravindra Donde

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravindra Donde

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

All Works

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20 of 20 papers shown

Donde, Ravindra, et al.. (2023). Dissecting chickpea genomic loci associated with the root penetration responsive traits in compacted soil. Planta. 259(1). 17–17. 1 indexed citations

Donde, Ravindra, et al.. (2023). Cross-species transferability of soybean SSR markers to yam bean (Pachyrhizus erosus L.): an underutilized crop for diversity analysis. Genetic Resources and Crop Evolution. 71(3). 1313–1323.

Donde, Ravindra, et al.. (2021). Genetic relationship, population structure analysis and pheno-molecular characterization of rice (Oryza sativa L.) cultivars for bacterial leaf blight resistance and submergence tolerance using trait specific STS markers. Physiology and Molecular Biology of Plants. 27(3). 543–562. 3 indexed citations

Mohanty, S., Ravindra Donde, Sharat Kumar Pradhan, et al.. (2021). Utilization of genetic diversity and population structure to reveal prospective drought-tolerant donors in rice. Gene Reports. 23. 101151–101151. 4 indexed citations

Gouda, Gayatri, Manoj Gupta, Ravindra Donde, et al.. (2020). Characterization of haplotypes and single nucleotide polymorphisms associated with Gn1a for high grain number formation in rice plant. Genomics. 112(3). 2647–2657. 11 indexed citations

Donde, Ravindra, S. Mohapatra, Somnath Roy, et al.. (2020). Identification of QTLs for high grain yield and component traits in new plant types of rice. PLoS ONE. 15(7). e0227785–e0227785. 22 indexed citations

Gupta, Manoj Kumar, Gayatri Gouda, Ravindra Donde, Ramakrishna Vadde, & Lambodar Behera. (2020). In silico characterization of the impact of mutation (LEU112PRO) on the structure and function of carotenoid cleavage dioxygenase 8 in Oryza sativa. Phytochemistry. 175. 112365–112365. 3 indexed citations

Gouda, Gayatri, Manoj Gupta, Ravindra Donde, et al.. (2020). Marker-assisted selection for grain number and yield-related traits of rice (Oryza sativa L.). Physiology and Molecular Biology of Plants. 26(5). 885–898. 27 indexed citations

Gupta, Manoj Kumar, Gayatri Gouda, Ravindra Donde, Ramakrishna Vadde, & Lambodar Behera. (2020). Novel cytokinin oxidase/dehydrogenase inhibitors for enhancing grain yield in crop plants and potential applications in the biotechnology industry. Journal of Experimental Botany. 72(2). 153–156. 6 indexed citations

10.

Gupta, Manoj Kumar, Vemula Sarojamma, Ravindra Donde, et al.. (2020). In-silico approaches to detect inhibitors of the human severe acute respiratory syndrome coronavirus envelope protein ion channel. Journal of Biomolecular Structure and Dynamics. 39(7). 2617–2627. 221 indexed citations breakdown →

11.

Donde, Ravindra, Manoj Gupta, Gayatri Gouda, et al.. (2019). Computational characterization of structural and functional roles of DREB1A, DREB1B and DREB1C in enhancing cold tolerance in rice plant. Amino Acids. 51(5). 839–853. 34 indexed citations

12.

Gupta, Manoj, Ramakrishna Vadde, Gayatri Gouda, et al.. (2019). Computational approach to understand molecular mechanism involved in BPH resistance in Bt- rice plant. Journal of Molecular Graphics and Modelling. 88. 209–220. 13 indexed citations

13.

Gouda, Gayatri, Manoj Kumar Gupta, Ravindra Donde, et al.. (2019). Computational approach towards understanding structural and functional role of cytokinin oxidase/dehydrogenase 2 (CKX2) in enhancing grain yield in rice plant. Journal of Biomolecular Structure and Dynamics. 38(4). 1158–1167. 23 indexed citations

14.

Donde, Ravindra, Jitendra Kumar, Gayatri Gouda, et al.. (2019). Assessment of Genetic Diversity of Drought Tolerant and Susceptible Rice Genotypes Using Microsatellite Markers. Rice Science. 26(4). 239–247. 28 indexed citations

15.

Donde, Ravindra, et al.. (2018). Study of genetic diversity and effectiveness of traits for direct selection under drought as well as non-stress condition for Rainfed upland rice. Journal of Pharmacognosy and Phytochemistry. 7(3). 2060–2067. 2 indexed citations

16.

Gupta, Manoj, Ramakrishna Vadde, Ravindra Donde, et al.. (2018). Insights into the structure–function relationship of brown plant hopper resistance protein, Bph14 of rice plant: a computational structural biology approach. Journal of Biomolecular Structure and Dynamics. 37(7). 1649–1665. 19 indexed citations

17.

Donde, Ravindra, et al.. (2018). Revealing Genetic Relationship and Prospecting of Novel Donors Among Upland Rice Genotypes Using qDTY-Linked SSR Markers. Rice Science. 25(6). 308–319. 6 indexed citations

18.

Gupta, Manoj, Ramakrishna Vadde, Gayatri Gouda, et al.. (2017). The impact of natural selection on gene associated with panicle number formation in Oryza sativa. SHILAP Revista de lepidopterología. 1(Special Issue). 198–198. 1 indexed citations

19.

Donde, Ravindra, Bhaja K. Padhi, P. Swain, et al.. (2017). Marker-assisted introgression of drought tolerance from wild ancestors into popular Indian rice varieties using a 7K Infinium SNP array. SHILAP Revista de lepidopterología. 1(Special Issue). 205–205. 1 indexed citations

20.

Donde, Ravindra, et al.. (2014). Studies on Agrobacterium mediated genetic transformation of rice (Oryza sativa L.) for drought tolerance using Dreb 1 gene. 2 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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