S. K. Senapati
About
In The Last Decade
S. K. Senapati
53 papers receiving 339 citations
Peers
Comparison fields: 5 of 61
- Plant Science 291
- Molecular Biology 232
- Insect Science 62
- Ecology, Evolution, Behavior and Systematics 55
- Food Science 40
Countries citing papers authored by S. K. Senapati
This map shows the geographic impact of S. K. Senapati'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 S. K. Senapati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. K. Senapati more than expected).
Fields of papers citing papers by S. K. Senapati
This network shows the impact of papers produced by S. K. Senapati. 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 S. K. Senapati. The network helps show where S. K. Senapati may publish in the future.
Co-authorship network of co-authors of S. K. Senapati
This figure shows the co-authorship network connecting the top 25 collaborators of S. K. Senapati. A scholar is included among the top collaborators of S. K. Senapati 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 S. K. Senapati. S. K. Senapati 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 | 4 | |
| 3 | Studies on biology of the pest beetle, Callosobruchus chinensis Linn. infesting green gram. | 3 |
| 4 | Monitoring of Helicoverpa armigera using pheromone traps and relationship of moth activity with larval infestation on carnation (Dianthus caryophyllus) in darjeeling hills | 8 |
| 5 | Comparative efficacy of certain insecticides against thrips (Scirtothrips dorsalis H.) and aphids (Aphis gossypii G.) on chilli. | 1 |
| 6 | 9 | |
| 7 | In vitro mutagenesis in Rosa hybrida using oryzalin as a mutagen and screening of mutants by randomly amplified polymorphic DNA (RAPD) marker | 4 |
| 8 | Developmental biology of muga silkworm Antheraea assama Ww. as influenced by the seasonal variation in food quality. | 0 |
| 9 | 7 | |
| 10 | Mutagenesis in rose: Early selection through molecular marker | 2 |
| 11 | Seasonal variation in rearing performance of muga silkworm (Antheraea assama Ww.). | 1 |
| 12 | Assessment of different stored pulses by Callosobruchus spp. | 1 |
| 13 | Biology, seasonal incidence and impact of some insecticides on painted bug, Bagrada hilaris (Burm.). | 4 |
| 14 | Biology of pulse beetle (Callosobruchus chinensis Linn.) as influenced by feeding of different grain pulses | 5 |
| 15 | SEASONAL FLUcrUATION OF APHIS GOSSYPIIGLOV. ON BRINJAL AND HELD EVALUATION OF SOME PESTICIDES AGAINST A. GOSSYPII UNDER TERAI REGION OF WEST BENGAL | 3 |
| 16 | Role of phenol contents in legume seeds and its effect on the biology of Callosobruchus chinensis | 6 |
| 17 | Biology and fluctuation of white fly (Bemisia tabaci genn.) population on tomato as influenced by abiotic factors under Terai region of West Bengal | 4 |
| 18 | Studies on the combined effect of mulberry varieties and seasons on performance of bivoltine silkworm Bombyx mori in Terai zone of West Bengal. | 1 |
| 19 | Influence of important weather parameters on population fluctuation on major insect pest of mandarin orange (Citrus reticulata Blanco) at Darjeeling district of West Bengal (India) | 6 |
| 20 | Performance of mulberry varieties on bivoltine silkworm (Bombyx mori L.) with reference to terai ecological conditions of West Bengal. | 1 |
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.