Rajinder K. Jain
- Plant Science top 5%
- Genetics top 5%
- Molecular Biology
- Biotechnology
- Food Science
- Co-authors
- Sunita JainSusan R. McCouchNavinder SainiArvind KumarNitika SandhuNeelu JainRay WüJai S. Rohila
- Topics
- Rice Cultivation and Yield Improvement (17 papers)GABA and Rice Research (12 papers)Genetic Mapping and Diversity in Plants and Animals (10 papers)
- Cited by
- Plant ScienceGeneticsBiotechnology
- Partner nations
- IndiaUnited StatesPhilippines
In The Last Decade
Rajinder K. Jain
25 papers receiving 723 citations
Peers
Comparison fields: 5 of 57
- Plant Science 747
- Genetics 386
- Molecular Biology 151
- Biotechnology 42
- Food Science 24
Countries citing papers authored by Rajinder K. Jain
This map shows the geographic impact of Rajinder K. Jain'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 Rajinder K. Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajinder K. Jain more than expected).
Fields of papers citing papers by Rajinder K. Jain
This network shows the impact of papers produced by Rajinder K. Jain. 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 Rajinder K. Jain. The network helps show where Rajinder K. Jain may publish in the future.
Co-authorship network of co-authors of Rajinder K. Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Rajinder K. Jain. A scholar is included among the top collaborators of Rajinder K. Jain 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 Rajinder K. Jain. Rajinder K. Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 94 | |
| 4 | 72 | |
| 5 | 55 | |
| 6 | 24 | |
| 7 | Phenotyping and microsatellite marker analysis of CSR10 (salt tolerant indica) × HBC19 (Taraori Basmati) F6 lines obtained using single seed descent method | 2 |
| 8 | 9 | |
| 9 | 36 | |
| 10 | Large-scale production, field performance and RAPD analysis of micropropagated sugarcane plants | 13 |
| 11 | 171 | |
| 12 | 100 | |
| 13 | 44 | |
| 14 | 17 | |
| 15 | 95 | |
| 16 | Transgenic strategies for genetic improvement of Basmati rice. | 6 |
| 17 | 19 | |
| 18 | 0 | |
| 19 | 3 | |
| 20 | 1 |
About Rajinder K. Jain
Rajinder K. Jain is a scholar working on Plant Science, Biotechnology and Genetics, having authored 28 papers that have together received 822 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (17 papers), GABA and Rice Research (12 papers) and Genetic Mapping and Diversity in Plants and Animals (10 papers). The work is most often cited by research in Plant Science (747 citations), Genetics (386 citations) and Biotechnology (42 citations). Rajinder K. Jain has collaborated with scholars based in India, United States and Philippines. Frequent co-authors include Sunita Jain, Susan R. McCouch, Navinder Saini, Arvind Kumar, Nitika Sandhu, Neelu Jain, Ray Wü, Jai S. Rohila, Ma Teresa Sta. Cruz and Anshuman Singh. Their work appears in journals such as Endocrinology, Journal of Experimental Botany 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.