Nirmala Sehrawat
- Co-authors
- Mukesh YadavAnil Kumar SharmaVikas KumarManoj SinghVarruchi SharmaPawan K. JaiwalR. K. SairamKangila V. Bhat
- Topics
- Soybean genetics and cultivation (8 papers)Plant Stress Responses and Tolerance (7 papers)Plant responses to water stress (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaSeminars in Cancer BiologyPhytomedicine
- Partner nations
- IndiaUgandaSaudi Arabia
In The Last Decade
Nirmala Sehrawat
56 papers receiving 677 citations
Peers
Comparison fields: 5 of 94
- Plant Science 322
- Molecular Biology 219
- Food Science 85
- Nutrition and Dietetics 58
- Biotechnology 42
Countries citing papers authored by Nirmala Sehrawat
This map shows the geographic impact of Nirmala Sehrawat'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 Nirmala Sehrawat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nirmala Sehrawat more than expected).
Fields of papers citing papers by Nirmala Sehrawat
This network shows the impact of papers produced by Nirmala Sehrawat. 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 Nirmala Sehrawat. The network helps show where Nirmala Sehrawat may publish in the future.
Co-authorship network of co-authors of Nirmala Sehrawat
This figure shows the co-authorship network connecting the top 25 collaborators of Nirmala Sehrawat. A scholar is included among the top collaborators of Nirmala Sehrawat 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 Nirmala Sehrawat. Nirmala Sehrawat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 25 | |
| 11 | 20 | |
| 12 | 57 | |
| 13 | 48 | |
| 14 | 10 | |
| 15 | 1 | |
| 16 | Review on health promoting biological activities of mungbean: A potent functional food of medicinal importance | 12 |
| 17 | SCREENING OF MUNGBEAN [VIGNA RADIATA (L.) WILCZEK] GENOTYPES FOR SALT TOLERANCE | 13 |
| 18 | Breeding mediated improvement of mungbean [Vigna radiata (L) Wilczek] for salt tolerance. | 3 |
| 19 | Artificial Neural Network (ANN): Application in media optimization for industrialmicrobiology and comparison with response surface methodology (RSM) | 9 |
| 20 | Diversity analysis and confirmation of intra-specific hybrids for salt tolerance in mungbean (Vigna radiata L. Wilczek). | 8 |
About Nirmala Sehrawat
Nirmala Sehrawat is a scholar working on Drug Discovery, Horticulture and Molecular Medicine, having authored 63 papers that have together received 694 indexed citations. Recurring topics across this work include Soybean genetics and cultivation (8 papers), Plant Stress Responses and Tolerance (7 papers) and Plant responses to water stress (7 papers). The work is most often cited by research in Horticulture (9 citations), Plant Science (322 citations) and Biotechnology (42 citations). Nirmala Sehrawat has collaborated with scholars based in India, Uganda and Saudi Arabia. Frequent co-authors include Mukesh Yadav, Anil Kumar Sharma, Vikas Kumar, Manoj Singh, Varruchi Sharma, Pawan K. Jaiwal, R. K. Sairam, Kangila V. Bhat, Anita Mann and Sushil Kumar Upadhyay. Their work appears in journals such as SHILAP Revista de lepidopterología, Seminars in Cancer Biology and Phytomedicine.
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.