Beena M. Ravindran

17 total papers · 430 total citations
14 papers, 328 citations indexed

About

Beena M. Ravindran is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Beena M. Ravindran has authored 14 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Plant Science and 3 papers in Biotechnology. Recurrent topics in Beena M. Ravindran's work include Plant tissue culture and regeneration (12 papers), Seed Germination and Physiology (3 papers) and Transgenic Plants and Applications (3 papers). Beena M. Ravindran is often cited by papers focused on Plant tissue culture and regeneration (12 papers), Seed Germination and Physiology (3 papers) and Transgenic Plants and Applications (3 papers). Beena M. Ravindran collaborates with scholars based in India and Germany. Beena M. Ravindran's co-authors include K. P. Martin, P. B. Kirti, Ute Wittstock, John C. D’Auria, Lothar Altschmied, Twan Rutten, Pradhyumna Kumar Singh, Surekha Challa, R. Tuli and Aparna Dutta‐Gupta and has published in prestigious journals such as Plant Cell & Environment, Frontiers in Plant Science and Plant Science.

In The Last Decade

Beena M. Ravindran

14 papers receiving 271 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Beena M. Ravindran 265 243 38 35 22 14 328
Beni Tal 258 1.0× 205 0.8× 52 1.4× 25 0.7× 29 1.3× 14 349
N. Jain 234 0.9× 247 1.0× 39 1.0× 36 1.0× 40 1.8× 10 320
Muhammad Nurul Amin 289 1.1× 219 0.9× 52 1.4× 19 0.5× 42 1.9× 30 352
Sarita Arya 207 0.8× 202 0.8× 28 0.7× 39 1.1× 15 0.7× 32 289
Fengqing Wang 199 0.8× 251 1.0× 28 0.7× 10 0.3× 28 1.3× 28 323
Hiromu Ohashi 229 0.9× 140 0.6× 66 1.7× 27 0.8× 14 0.6× 28 330
Marc J. M. Hagendoorn 232 0.9× 166 0.7× 59 1.6× 11 0.3× 8 0.4× 17 327
Ri Gao 242 0.9× 221 0.9× 28 0.7× 22 0.6× 10 0.5× 24 319
Francine Javelle 214 0.8× 267 1.1× 42 1.1× 20 0.6× 39 1.8× 16 352
Meena K. Cheruvathur 241 0.9× 182 0.7× 27 0.7× 31 0.9× 22 1.0× 17 284

Countries citing papers authored by Beena M. Ravindran

Since Specialization
Citations

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

Fields of papers citing papers by Beena M. Ravindran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beena M. Ravindran. 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 Beena M. Ravindran. The network helps show where Beena M. Ravindran may publish in the future.

Co-authorship network of co-authors of Beena M. Ravindran

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

All Works

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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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