Supriya Chakraborty
- Plant Science top 1%
- Molecular Biology
- Endocrinology top 1%
- Insect Science top 2%
- Horticulture top 0.5%
- Co-authors
- Prabu GnanasekaranAchuit K. SinghB. ChattopadhyayNirbhay Kumar KushwahaR. Vinoth KumarKishorekumar ReddyC. FauquetSaumik Basu
- Topics
- Plant Virus Research Studies (77 papers)Plant-Microbe Interactions and Immunity (29 papers)Plant and Fungal Interactions Research (22 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchSHILAP Revista de lepidopterología
- Partner nations
- IndiaUnited StatesGreece
In The Last Decade
Supriya Chakraborty
84 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 76
- Plant Science 2.0k
- Molecular Biology 500
- Endocrinology 481
- Insect Science 413
- Horticulture 156
Countries citing papers authored by Supriya Chakraborty
This map shows the geographic impact of Supriya Chakraborty'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 Supriya Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supriya Chakraborty more than expected).
Fields of papers citing papers by Supriya Chakraborty
This network shows the impact of papers produced by Supriya Chakraborty. 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 Supriya Chakraborty. The network helps show where Supriya Chakraborty may publish in the future.
Co-authorship network of co-authors of Supriya Chakraborty
This figure shows the co-authorship network connecting the top 25 collaborators of Supriya Chakraborty. A scholar is included among the top collaborators of Supriya Chakraborty 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 Supriya Chakraborty. Supriya Chakraborty 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 | 4 | |
| 3 | 10 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 18 | |
| 7 | 7 | |
| 8 | 7 | |
| 9 | 32 | |
| 10 | 19 | |
| 11 | 16 | |
| 12 | 42 | |
| 13 | 45 | |
| 14 | 17 | |
| 15 | 26 | |
| 16 | 30 | |
| 17 | 7 | |
| 18 | Recent advances in geminivirus detection and future perspectives | 10 |
| 19 | Okra enation leaf curl disease - a threat to cultivation of okra (Abelmoschus esculentus (L.) Moench) | 4 |
| 20 | Mutations in the lysosomal beta-galactosidase gene that cause the adult form of GM1 gangliosidosis. | 28 |
About Supriya Chakraborty
Supriya Chakraborty is a scholar working on Horticulture, Endocrinology and Plant Science, having authored 89 papers that have together received 2.2k indexed citations. Recurring topics across this work include Plant Virus Research Studies (77 papers), Plant-Microbe Interactions and Immunity (29 papers) and Plant and Fungal Interactions Research (22 papers). The work is most often cited by research in Horticulture (156 citations), Endocrinology (481 citations) and Plant Science (2.0k citations). Supriya Chakraborty has collaborated with scholars based in India, United States and Greece. Frequent co-authors include Prabu Gnanasekaran, Achuit K. Singh, B. Chattopadhyay, Nirbhay Kumar Kushwaha, R. Vinoth Kumar, Kishorekumar Reddy, C. Fauquet, Saumik Basu, Enrique Moriones and Shelly Praveen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.
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.