N. P. Sarma
- Plant Science top 5%
- Molecular Biology
- Genetics
- Biotechnology top 5%
- Insect Science top 10%
- Co-authors
- R. M. SundaramAkhilesh K. TyagiAmitabh MohantyI. C. PasaluK. V. RaoS. RameshVudem Dashavantha ReddyM. S. Ramesha
- Topics
- Plant tissue culture and regeneration (10 papers)Plant Disease Resistance and Genetics (7 papers)Genetic Mapping and Diversity in Plants and Animals (7 papers)
- Partner nations
- IndiaSwedenUnited States
In The Last Decade
N. P. Sarma
29 papers receiving 665 citations
Peers
Comparison fields: 5 of 46
- Plant Science 614
- Molecular Biology 438
- Genetics 156
- Biotechnology 123
- Insect Science 73
Countries citing papers authored by N. P. Sarma
This map shows the geographic impact of N. P. Sarma'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 N. P. Sarma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. P. Sarma more than expected).
Fields of papers citing papers by N. P. Sarma
This network shows the impact of papers produced by N. P. Sarma. 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 N. P. Sarma. The network helps show where N. P. Sarma may publish in the future.
Co-authorship network of co-authors of N. P. Sarma
This figure shows the co-authorship network connecting the top 25 collaborators of N. P. Sarma. A scholar is included among the top collaborators of N. P. Sarma 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 N. P. Sarma. N. P. Sarma 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 | 0 | |
| 3 | 11 | |
| 4 | 15 | |
| 5 | 39 | |
| 6 | 34 | |
| 7 | 24 | |
| 8 | 77 | |
| 9 | 78 | |
| 10 | 22 | |
| 11 | Qualitative assessment of tissue culture parameters useful in transformation of indica rice | 12 |
| 12 | Analysis of variation in tissue culture response for identification of indica rice genotypes suitable for transformation [Oryza sativa L.] | 2 |
| 13 | Hybrid rice: progress, issues and outlook for Bangladesh. | 4 |
| 14 | 6 | |
| 15 | Tissue culture in rice improvement | 1 |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 7 | |
| 19 | 1 | |
| 20 | 29 |
About N. P. Sarma
N. P. Sarma is a scholar working on Plant Science, Endocrinology and Genetics, having authored 31 papers that have together received 763 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (10 papers), Plant Disease Resistance and Genetics (7 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). The work is most often cited by research in Plant Science (614 citations), Biotechnology (123 citations) and Molecular Biology (438 citations). N. P. Sarma has collaborated with scholars based in India, Sweden and United States. Frequent co-authors include R. M. Sundaram, Akhilesh K. Tyagi, Amitabh Mohanty, I. C. Pasalu, K. V. Rao, S. Ramesh, Vudem Dashavantha Reddy, M. S. Ramesha, Yong Rao and Sunil Biradar. Their work appears in journals such as Cellular and Molecular Life Sciences, Theoretical and Applied Genetics and Annals of Botany.
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.