Dashavantha Reddy Vudem

661 total citations
24 papers, 451 citations indexed

About

Dashavantha Reddy Vudem is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Dashavantha Reddy Vudem has authored 24 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Plant Science and 4 papers in Oncology. Recurrent topics in Dashavantha Reddy Vudem's work include Andrographolide Research and Applications (4 papers), Plant Stress Responses and Tolerance (4 papers) and Plant-Microbe Interactions and Immunity (4 papers). Dashavantha Reddy Vudem is often cited by papers focused on Andrographolide Research and Applications (4 papers), Plant Stress Responses and Tolerance (4 papers) and Plant-Microbe Interactions and Immunity (4 papers). Dashavantha Reddy Vudem collaborates with scholars based in India, United States and Australia. Dashavantha Reddy Vudem's co-authors include Venkateswara Rao Khareedu, Rama Krishna Kancha, Ashiq Masood, Janakiraman Subramanian, Gundra Sivakrishna Rao, S. Prabhakar, K. Muralidharan, Pulugurtha Bharadwaja Kirti, Neha S. Gandhi and Vijjulatha Manga and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Dashavantha Reddy Vudem

24 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dashavantha Reddy Vudem India 14 260 219 62 55 42 24 451
Jigyasa H. Tuteja United States 11 400 1.5× 495 2.3× 32 0.5× 56 1.0× 33 0.8× 11 789
Guillaume Chatel Belgium 11 693 2.7× 263 1.2× 49 0.8× 72 1.3× 7 0.2× 13 851
Wenhui Gao China 8 276 1.1× 253 1.2× 25 0.4× 11 0.2× 23 0.5× 22 457
Guojun Yu China 13 287 1.1× 104 0.5× 23 0.4× 18 0.3× 20 0.5× 16 475
Min Kyoung You South Korea 15 374 1.4× 253 1.2× 32 0.5× 32 0.6× 9 0.2× 24 556
Magdalena Śmiech Poland 10 257 1.0× 142 0.6× 54 0.9× 7 0.1× 30 0.7× 18 480
Greg Solomon United States 10 322 1.2× 91 0.4× 42 0.7× 83 1.5× 15 0.4× 13 478
Sanyuan Tang China 10 462 1.8× 475 2.2× 25 0.4× 15 0.3× 8 0.2× 16 720
Pan Xie China 12 249 1.0× 155 0.7× 55 0.9× 27 0.5× 29 0.7× 24 405
Michael B. Cohen United States 11 309 1.2× 49 0.2× 78 1.3× 86 1.6× 53 1.3× 13 440

Countries citing papers authored by Dashavantha Reddy Vudem

Since Specialization
Citations

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

Fields of papers citing papers by Dashavantha Reddy Vudem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dashavantha Reddy Vudem. 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 Dashavantha Reddy Vudem. The network helps show where Dashavantha Reddy Vudem may publish in the future.

Co-authorship network of co-authors of Dashavantha Reddy Vudem

This figure shows the co-authorship network connecting the top 25 collaborators of Dashavantha Reddy Vudem. A scholar is included among the top collaborators of Dashavantha Reddy Vudem 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 Dashavantha Reddy Vudem. Dashavantha Reddy Vudem 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.
Reddy, Aramati B. M., et al.. (2020). Analysis of cellular models of clonal evolution reveals co-evolution of imatinib and HSP90 inhibitor resistances. Biochemical and Biophysical Research Communications. 534. 461–467. 6 indexed citations
2.
Subramanian, Janakiraman, et al.. (2019). Emergence of ERBB2 Mutation as a Biomarker and an Actionable Target in Solid Cancers. The Oncologist. 24(12). e1303–e1314. 66 indexed citations
3.
Vudem, Dashavantha Reddy, et al.. (2019). DEAD box helicases as promising molecular tools for engineering abiotic stress tolerance in plants. Critical Reviews in Biotechnology. 39(3). 395–407. 27 indexed citations
4.
Vudem, Dashavantha Reddy, et al.. (2019). Molecular docking analysis of imine stilbene analogs and evaluation of their anti-aging activity using yeast and mammalian cell models. Journal of Receptors and Signal Transduction. 39(1). 55–59. 5 indexed citations
5.
Rao, Gundra Sivakrishna, et al.. (2019). Development of a large population of activation‐tagged mutants in an elite indica rice variety. Plant Breeding. 139(2). 328–343. 3 indexed citations
6.
Rao, Gundra Sivakrishna, et al.. (2018). Expression of hybrid fusion protein (Cry1Ac::ASAL) in transgenic rice plants imparts resistance against multiple insect pests. Scientific Reports. 8(1). 8458–8458. 24 indexed citations
7.
Sivan, Sree Kanth, et al.. (2018). Computational Analysis of Epidermal Growth Factor Receptor Mutations Predicts Differential Drug Sensitivity Profiles toward Kinase Inhibitors. Journal of Thoracic Oncology. 13(5). 721–726. 11 indexed citations
8.
Sarma, Akella V. S., et al.. (2017). Phytochemical Profiling and In Vitro Anticancer Activity of Purified Flavonoids of Andrographis glandulosa. Planta Medica International Open. 4(1). e24–e34. 2 indexed citations
9.
Vudem, Dashavantha Reddy, et al.. (2017). A Cyclin Dependent Kinase Regulatory Subunit (CKS) Gene of Pigeonpea Imparts Abiotic Stress Tolerance and Regulates Plant Growth and Development in Arabidopsis. Frontiers in Plant Science. 8. 165–165. 20 indexed citations
10.
Prabhakar, S., et al.. (2017). Cloning of fatty acid desaturase-coding sequence (Lufad3) from flax and its functional validation in rice. Plant Biotechnology Reports. 11(5). 259–270. 7 indexed citations
11.
Khareedu, Venkateswara Rao, et al.. (2016). De novo Assembly of Leaf Transcriptome in the Medicinal Plant Andrographis paniculata. Frontiers in Plant Science. 7. 1203–1203. 35 indexed citations
12.
Vudem, Dashavantha Reddy, et al.. (2016). Pigeonpea Hybrid-Proline-Rich Protein (CcHyPRP) Confers Biotic and Abiotic Stress Tolerance in Transgenic Rice. Frontiers in Plant Science. 6. 1167–1167. 51 indexed citations
13.
Khareedu, Venkateswara Rao, et al.. (2015). DNA barcoding and haplotyping in different species of Andrographis. Biochemical Systematics and Ecology. 62. 91–97. 10 indexed citations
14.
Vudem, Dashavantha Reddy, et al.. (2014). Overexpression of pigeonpea stress-induced cold and drought regulatory gene (CcCDR) confers drought, salt, and cold tolerance in Arabidopsis. Journal of Experimental Botany. 65(17). 4769–4781. 31 indexed citations
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Khareedu, Venkateswara Rao, et al.. (2014). Structural organization, classification and phylogenetic relationship of cytochrome P450 genes in Citrus clementina and Citrus sinensis. Tree Genetics & Genomes. 10(2). 399–409. 15 indexed citations
17.
Vudem, Dashavantha Reddy, et al.. (2013). Development of Transgenic Cotton Lines Expressing Allium sativum Agglutinin (ASAL) for Enhanced Resistance against Major Sap-Sucking Pests. PLoS ONE. 8(9). e72542–e72542. 29 indexed citations
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Gundla, Rambabu, et al.. (2011). Molecular modeling of Bt Cry1Ac (DI–DII)–ASAL (Allium sativum lectin)–fusion protein and its interaction with aminopeptidase N (APN) receptor of Manduca sexta. Journal of Molecular Graphics and Modelling. 33. 61–76. 20 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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