Ravinder Sardana
- Molecular Biology top 10%
- Plant Science top 5%
- Biotechnology top 1%
- Insect Science top 5%
- Genetics
- Co-authors
- Illimar AltosaarXiongying ChengHarvey KaplanR. B. FlavellE. TackaberryAnil K. DudaniMichael R. O’DellQingyao Shu
- Topics
- Plant tissue culture and regeneration (15 papers)Transgenic Plants and Applications (13 papers)CRISPR and Genetic Engineering (8 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Plant JournalTheoretical and Applied Genetics
- Partner nations
- CanadaUnited KingdomChina
In The Last Decade
Ravinder Sardana
27 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 908
- Plant Science 669
- Biotechnology 414
- Insect Science 122
- Genetics 95
Countries citing papers authored by Ravinder Sardana
This map shows the geographic impact of Ravinder Sardana'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 Ravinder Sardana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravinder Sardana more than expected).
Fields of papers citing papers by Ravinder Sardana
This network shows the impact of papers produced by Ravinder Sardana. 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 Ravinder Sardana. The network helps show where Ravinder Sardana may publish in the future.
Co-authorship network of co-authors of Ravinder Sardana
This figure shows the co-authorship network connecting the top 25 collaborators of Ravinder Sardana. A scholar is included among the top collaborators of Ravinder Sardana 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 Ravinder Sardana. Ravinder Sardana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 31 | |
| 3 | Optimizing tissue culture media for efficient transformation of different indica rice genotypes | 51 |
| 4 | 4 | |
| 5 | 40 | |
| 6 | 41 | |
| 7 | 19 | |
| 8 | 75 | |
| 9 | 28 | |
| 10 | 9 | |
| 11 | 37 | |
| 12 | 139 | |
| 13 | 65 | |
| 14 | Expression of human blood proteins in transgenic plants: the cytokine GM-CSF as a model protein. | 18 |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 68 | |
| 18 | 71 | |
| 19 | Relationship between seed vigour tests and field emergence in chickpea | 7 |
| 20 | 64 |
About Ravinder Sardana
Ravinder Sardana is a scholar working on Biotechnology, Biological Psychiatry and Plant Science, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (15 papers), Transgenic Plants and Applications (13 papers) and CRISPR and Genetic Engineering (8 papers). The work is most often cited by research in Biotechnology (414 citations), Plant Science (669 citations) and Molecular Biology (908 citations). Ravinder Sardana has collaborated with scholars based in Canada, United Kingdom and China. Frequent co-authors include Illimar Altosaar, Xiongying Cheng, Harvey Kaplan, R. B. Flavell, E. Tackaberry, Anil K. Dudani, Michael R. O’Dell, Qingyao Shu, Cui Hairui and Peter R. Ganz. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Plant Journal and Theoretical and Applied Genetics.
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.