Beena M. Ravindran
- Molecular Biology
- Plant Science top 10%
- Biotechnology
- Ecology, Evolution, Behavior and Systematics
- Cell Biology
- Co-authors
- K. P. MartinP. B. KirtiUte WittstockJohn C. D’AuriaLothar AltschmiedTwan RuttenSurekha ChallaPradhyumna Kumar Singh
- Topics
- Plant tissue culture and regeneration (12 papers)Seed Germination and Physiology (3 papers)Transgenic Plants and Applications (3 papers)
In The Last Decade
Beena M. Ravindran
14 papers receiving 272 citations
Peers
Comparison fields: 5 of 45
- Molecular Biology 266
- Plant Science 244
- Biotechnology 38
- Ecology, Evolution, Behavior and Systematics 35
- Cell Biology 22
Countries citing papers authored by Beena M. Ravindran
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 5 | |
| 3 | 43 | |
| 4 | 49 | |
| 5 | Influence of Age of Explants and Genotype on Somatic Embryogenesis in African and Indian Cassava Cultivars | 4 |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 4 | |
| 9 | 12 | |
| 10 | An efficient direct shoot regeneration from cotyledonary node explants of peanut (Arachis hypogaea L. CV. JL-24) | 4 |
| 11 | 48 | |
| 12 | High frequency axillary bud multiplication and ex vitro rooting of Wedelia chinensis (Osbeck) Merr.--a medicinal plant. | 18 |
| 13 | 84 | |
| 14 | 30 |
About Beena M. Ravindran
Beena M. Ravindran is a scholar working on Biotechnology, Plant Science and Molecular Biology, having authored 14 papers that have together received 329 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (12 papers), Seed Germination and Physiology (3 papers) and Transgenic Plants and Applications (3 papers). The work is most often cited by research in Plant Science (244 citations), Biotechnology (38 citations) and Molecular Biology (266 citations). Beena M. Ravindran has collaborated with scholars based in India and Germany. Frequent co-authors include K. P. Martin, P. B. Kirti, Ute Wittstock, John C. D’Auria, Lothar Altschmied, Twan Rutten, Surekha Challa, Pradhyumna Kumar Singh, R. Tuli and Aparna Dutta‐Gupta. Their work appears in journals such as Plant Cell & Environment, Frontiers in Plant Science and Plant Science.
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.