S. R. Prashanth

832 total citations
11 papers, 593 citations indexed

About

S. R. Prashanth is a scholar working on Plant Science, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, S. R. Prashanth has authored 11 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 5 papers in Molecular Biology and 4 papers in Biomedical Engineering. Recurrent topics in S. R. Prashanth's work include Superconducting Materials and Applications (4 papers), Plant Stress Responses and Tolerance (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). S. R. Prashanth is often cited by papers focused on Superconducting Materials and Applications (4 papers), Plant Stress Responses and Tolerance (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). S. R. Prashanth collaborates with scholars based in India and United States. S. R. Prashanth's co-authors include Ajay Parida, M. N. Jithesh, K. R. Sivaprakash, Valentina Talamé, Roberto Tuberosa, Madasamy Parani, Bimal Prasanna Mohanty, Asish Kumar Parida, Sanjeev Kumar and P. B. Kirti and has published in prestigious journals such as Environmental and Experimental Botany, Plant Cell Reports and Genome.

In The Last Decade

S. R. Prashanth

9 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. R. Prashanth India 6 511 209 47 46 33 11 593
Imre Majláth Hungary 18 721 1.4× 283 1.4× 22 0.5× 38 0.8× 24 0.7× 36 815
Cécile Vriet France 13 770 1.5× 353 1.7× 29 0.6× 26 0.6× 43 1.3× 18 898
Fukuyo Tanaka Japan 16 496 1.0× 145 0.7× 65 1.4× 40 0.9× 64 1.9× 46 694
Nataša Bauer Croatia 16 384 0.8× 351 1.7× 29 0.6× 49 1.1× 44 1.3× 35 592
Björn Heinemann Germany 6 519 1.0× 215 1.0× 23 0.5× 27 0.6× 52 1.6× 11 666
Ali Reza Shahsavar Iran 13 425 0.8× 149 0.7× 29 0.6× 25 0.5× 32 1.0× 43 583
Jinliang Liu China 13 287 0.6× 117 0.6× 58 1.2× 37 0.8× 38 1.2× 26 423
Deborah Paola Rondanini Argentina 16 688 1.3× 211 1.0× 35 0.7× 43 0.9× 85 2.6× 35 875
Alessandra Ferreira Ribas Brazil 12 559 1.1× 298 1.4× 20 0.4× 22 0.5× 26 0.8× 36 717
Hasna Ellouzi Tunisia 13 575 1.1× 181 0.9× 27 0.6× 40 0.9× 34 1.0× 27 658

Countries citing papers authored by S. R. Prashanth

Since Specialization
Citations

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

Fields of papers citing papers by S. R. Prashanth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. R. Prashanth. 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 S. R. Prashanth. The network helps show where S. R. Prashanth may publish in the future.

Co-authorship network of co-authors of S. R. Prashanth

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

All Works

11 of 11 papers shown
1.
Gupta, Vivek, et al.. (2021). Numerical prediction of the operating point for the cryogenic twin-screw hydrogen extruder system. Cryogenics. 121. 103414–103414.
2.
Prashanth, S. R., et al.. (2020). Non-Newtonian and non-isothermal numerical modelling of a twin screw hydrogen extruder with slip imposed boundary condition on the screw surface. Fusion Engineering and Design. 161. 111896–111896. 3 indexed citations
3.
Prashanth, S. R., et al.. (2020). Numerical modelling of solid hydrogen flow through an extruder die. Journal of Physics Conference Series. 1473(1). 12006–12006.
4.
Prashanth, S. R., et al.. (2018). CFD modelling and performance analysis of a twin screw hydrogen extruder. Fusion Engineering and Design. 138. 151–158. 14 indexed citations
5.
Kumar, Sanjeev, P. Hima Kumari, S. R. Prashanth, et al.. (2016). Beyond just being foot soldiers – osmotin like protein ( OLP ) and chitinase ( Chi11 ) genes act as sentinels to confront salt, drought, and fungal stress tolerance in tomato. Environmental and Experimental Botany. 132. 53–65. 28 indexed citations
6.
Prashanth, S. R., et al.. (2008). Species Status and Relationship Between Roccella montagnei and Roccella belangeriana Using DNA Sequence Data of Nuclear Ribosomal Internal Transcribed Spacer Region. Journal of Plant Biochemistry and Biotechnology. 17(1). 91–94. 5 indexed citations
8.
Jithesh, M. N., S. R. Prashanth, K. R. Sivaprakash, & Ajay Parida. (2006). Antioxidative response mechanisms in halophytes: Their role in stress defence. Journal of Genetics. 85(3). 237–254. 239 indexed citations
9.
10.
George, Suja, S. R. Prashanth, & Ajay Parida. (2005). Diversity and Species Relationship in Pearl Millet (Pennisetum typhoides) and Related Species. Journal of Plant Biochemistry and Biotechnology. 14(2). 141–147. 1 indexed citations
11.
Prashanth, S. R., Madasamy Parani, Bimal Prasanna Mohanty, et al.. (2002). Genetic diversity in cultivars and landraces of Oryza sativa subsp. indica as revealed by AFLP markers. Genome. 45(3). 451–459. 37 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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