Shailaja Hittalmani
- Plant Science top 1%
- Genetics top 2%
- Molecular Biology
- Agronomy and Crop Science top 5%
- Cell Biology
- Co-authors
- Yu-Ting HuangH. E. ShashidharR. S. ZeiglerArnold ParcoPrashanth G. BagaliJie‐Yun ZhuangG. S. KhushJiwan S. Sidhu
- Topics
- Rice Cultivation and Yield Improvement (48 papers)Genetic Mapping and Diversity in Plants and Animals (33 papers)Genetics and Plant Breeding (26 papers)
- Journals
- SHILAP Revista de lepidopterologíaFrontiers in Plant ScienceTheoretical and Applied Genetics
- Partner nations
- IndiaPhilippinesUnited States
In The Last Decade
Shailaja Hittalmani
69 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 48
- Plant Science 2.0k
- Genetics 1.1k
- Molecular Biology 247
- Agronomy and Crop Science 104
- Cell Biology 101
Countries citing papers authored by Shailaja Hittalmani
This map shows the geographic impact of Shailaja Hittalmani'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 Shailaja Hittalmani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shailaja Hittalmani more than expected).
Fields of papers citing papers by Shailaja Hittalmani
This network shows the impact of papers produced by Shailaja Hittalmani. 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 Shailaja Hittalmani. The network helps show where Shailaja Hittalmani may publish in the future.
Co-authorship network of co-authors of Shailaja Hittalmani
This figure shows the co-authorship network connecting the top 25 collaborators of Shailaja Hittalmani. A scholar is included among the top collaborators of Shailaja Hittalmani 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 Shailaja Hittalmani. Shailaja Hittalmani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Genetic analysis of reciprocal differences for yield and yield attributing traits in segregating populations of rice (Oryza sativa L.) | 3 |
| 2 | Heterotic effects and combining ability for yield traits in rice developed for semi-dry aerobic cultivation. | 4 |
| 3 | 1 | |
| 4 | Utilization of ssrs to estimate the degree of genetic relationships in finger millet (Eleusine coracana L. Gaertn.) genotypes and subspecies. | 7 |
| 5 | Association analysis of drought and yield related traits in F2 population of Moroberekan/IR64 rice cross under aerobic condition. | 10 |
| 6 | Intergeneration Correlation and Narrow-Sense Heritability Estimation in Rice (Oryza sativa L.) | 2 |
| 7 | Identification of drought tolerant and high yielding F2 genotypes of rice under aerobic condition | 1 |
| 8 | Fingerprints for two grain amaranthus varieties KBGA1 and suvarna using RAPD and legume based SSR markers. | 1 |
| 9 | Limits of parental divergence for the occurrence of heterosis through morphological and AFLP marker in chilli (Capsicum annuum L.) | 8 |
| 10 | DNA marker characterization for allele mining of blast and bacterial leaf blight resistant genes and evaluation for grain yield | 6 |
| 11 | Correlation study for protein content, grain yield and yield contributing traits in quality protein maize (QPM) (Zea mays L.). | 3 |
| 12 | Performance and adoption of new aerobic rice variety MAS 946-1 (Sharada) in southern Karnataka | 15 |
| 13 | Effect of drought on yield potential and drought susceptibility index of promising aerobic rice (Oryza sativa L.) genotypes. | 5 |
| 14 | Genetic variability and correlation studies in selected mulberry (Morus spp.) germplasm accessions | 4 |
| 15 | Study of correlation and path analysis in F2 population of finger millet. | 8 |
| 16 | Identification of QTL associated with silicon and zinc content in rice (Oryza sativa L.) and their role in blast disease resistance | 9 |
| 17 | Temporal expression of QTLs for plant height and tiller number in rice (Oryza sativa L.) | 0 |
| 18 | Assessment of genetic divergence in some pigeonpea [Cajanus cajan (L.) Millsp.] genotypes using RAPD markers | 3 |
| 19 | Mapping of QTL associated with root and related traits in population of rice (Oryza sativa L.) | 11 |
| 20 | Molecular mapping of quantitative trait loci associated with seedling tolerance to salt stress in rice (Oryza sativa L.). | 122 |
About Shailaja Hittalmani
Shailaja Hittalmani is a scholar working on Horticulture, Plant Science and Genetics, having authored 76 papers that have together received 2.1k indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (48 papers), Genetic Mapping and Diversity in Plants and Animals (33 papers) and Genetics and Plant Breeding (26 papers). The work is most often cited by research in Plant Science (2.0k citations), Genetics (1.1k citations) and Agronomy and Crop Science (104 citations). Shailaja Hittalmani has collaborated with scholars based in India, Philippines and United States. Frequent co-authors include Yu-Ting Huang, H. E. Shashidhar, R. S. Zeigler, Arnold Parco, Prashanth G. Bagali, Jie‐Yun Zhuang, H. E. Shashidhar, G. S. Khush, Jiwan S. Sidhu and K.-L. Zheng. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Plant Science 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.