Ramya Rajagopalan
- Plant Science top 1%
- Molecular Biology top 5%
- Genetics top 10%
- Cancer Research top 10%
- Sociology and Political Science top 10%
- Co-authors
- David P. BartelHervé VaucheretGerardo TrejoJoan H. FujimuraMichael J. AxtellAllison C. MalloryChristelle LepersFranck Vazquez
- Topics
- Race, Genetics, and Society (8 papers)BRCA gene mutations in cancer (4 papers)Protist diversity and phylogeny (4 papers)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Ramya Rajagopalan
21 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Plant Science 2.0k
- Molecular Biology 1.4k
- Genetics 339
- Cancer Research 201
- Sociology and Political Science 116
Countries citing papers authored by Ramya Rajagopalan
This map shows the geographic impact of Ramya Rajagopalan'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 Ramya Rajagopalan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramya Rajagopalan more than expected).
Fields of papers citing papers by Ramya Rajagopalan
This network shows the impact of papers produced by Ramya Rajagopalan. 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 Ramya Rajagopalan. The network helps show where Ramya Rajagopalan may publish in the future.
Co-authorship network of co-authors of Ramya Rajagopalan
This figure shows the co-authorship network connecting the top 25 collaborators of Ramya Rajagopalan. A scholar is included among the top collaborators of Ramya Rajagopalan 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 Ramya Rajagopalan. Ramya Rajagopalan 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 | 1 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 81 | |
| 7 | 11 | |
| 8 | 14 | |
| 9 | 23 | |
| 10 | 17 | |
| 11 | 39 | |
| 12 | 4 | |
| 13 | 198 | |
| 14 | 33 | |
| 15 | 74 | |
| 16 | 61 | |
| 17 | A diverse and evolutionarily fluid set of microRNAs in Arabidopsis thalianabreakdown → | 1086 |
| 18 | A Two-Hit Trigger for siRNA Biogenesis in Plantsbreakdown → | 498 |
| 19 | Comparing Traditional Life Insurance Products in the Indian Market: A Consumer Perspective | 2 |
| 20 | Endogenous trans-Acting siRNAs Regulate the Accumulation of Arabidopsis mRNAsbreakdown → | 608 |
About Ramya Rajagopalan
Ramya Rajagopalan is a scholar working on Genetics, Museology and Soil Science, having authored 24 papers that have together received 2.8k indexed citations. Recurring topics across this work include Race, Genetics, and Society (8 papers), BRCA gene mutations in cancer (4 papers) and Protist diversity and phylogeny (4 papers). The work is most often cited by research in Plant Science (2.0k citations), Molecular Biology (1.4k citations) and Endocrinology (81 citations). Ramya Rajagopalan has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include David P. Bartel, Hervé Vaucheret, Gerardo Trejo, Joan H. Fujimura, Michael J. Axtell, Allison C. Mallory, Christelle Lepers, Franck Vazquez, Virginie Gasciolli and Patrice Crété. Their work appears in journals such as Cell, Genes & Development and Molecular 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.