Abhijit Sanyal
- Plant Science top 5%
- Molecular Biology
- Genetics top 10%
- Marketing top 10%
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Scott A. JacksonWilliam D. DiamondRod A. WingJetty S. S. AmmirajuFei LüVíctor LlacaMingsheng ChenMatthew King
- Topics
- Chromosomal and Genetic Variations (10 papers)Genomics and Phylogenetic Studies (7 papers)Plant Disease Resistance and Genetics (4 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Abhijit Sanyal
19 papers receiving 540 citations
Peers
Comparison fields: 5 of 66
- Plant Science 413
- Molecular Biology 286
- Genetics 181
- Marketing 48
- Ecology, Evolution, Behavior and Systematics 21
Countries citing papers authored by Abhijit Sanyal
This map shows the geographic impact of Abhijit Sanyal'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 Abhijit Sanyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhijit Sanyal more than expected).
Fields of papers citing papers by Abhijit Sanyal
This network shows the impact of papers produced by Abhijit Sanyal. 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 Abhijit Sanyal. The network helps show where Abhijit Sanyal may publish in the future.
Co-authorship network of co-authors of Abhijit Sanyal
This figure shows the co-authorship network connecting the top 25 collaborators of Abhijit Sanyal. A scholar is included among the top collaborators of Abhijit Sanyal 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 Abhijit Sanyal. Abhijit Sanyal 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 | 13 | |
| 3 | 108 | |
| 4 | 1 | |
| 5 | 35 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | Doubling genome size without polyploidization: dynamics of retrotransposition-driven genomic expansions in Oryza australiensis, a wild relative of rice (Genome Research (2006) 16, (1262-1269)) | 19 |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 21 | |
| 12 | 35 | |
| 13 | 88 | |
| 14 | 98 | |
| 15 | 7 | |
| 16 | 3 | |
| 17 | Sequencing and comparative analysis of hexon gene of fowl adenovirus 4 of Indian origin | 0 |
| 18 | 54 | |
| 19 | Priming and Implicit Memory: a Review and a Synthesis Relevant For Consumer Behavior | 7 |
| 20 | The Effect of Framing on the Choice of Supermarket Coupons | 53 |
About Abhijit Sanyal
Abhijit Sanyal is a scholar working on Horticulture, General Decision Sciences and Plant Science, having authored 22 papers that have together received 559 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (10 papers), Genomics and Phylogenetic Studies (7 papers) and Plant Disease Resistance and Genetics (4 papers). The work is most often cited by research in Plant Science (413 citations), General Decision Sciences (12 citations) and Genetics (181 citations). Abhijit Sanyal has collaborated with scholars based in United States, India and China. Frequent co-authors include Scott A. Jackson, William D. Diamond, Rod A. Wing, Jetty S. S. Ammiraju, Fei Lü, Víctor Llaca, Mingsheng Chen, Matthew King, Stéphane Deschamps and Liang Ye. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Plant Cell.
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.