Rajesha Rupaimoole
- Molecular Biology top 1%
- Cancer Research top 0.2%
- Oncology top 5%
- Immunology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Frank J. SlackAnil K. SoodGabriel Lopez‐BeresteinGeorge A. CălinCristian Rodriguez‐AguayoCristina IvanChad V. PecotSunila Pradeep
- Topics
- MicroRNA in disease regulation (15 papers)Cancer-related molecular mechanisms research (14 papers)RNA modifications and cancer (9 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Rajesha Rupaimoole
39 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 4.5k
- Cancer Research 3.8k
- Oncology 731
- Immunology 621
- Pulmonary and Respiratory Medicine 320
Countries citing papers authored by Rajesha Rupaimoole
This map shows the geographic impact of Rajesha Rupaimoole'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 Rajesha Rupaimoole with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajesha Rupaimoole more than expected).
Fields of papers citing papers by Rajesha Rupaimoole
This network shows the impact of papers produced by Rajesha Rupaimoole. 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 Rajesha Rupaimoole. The network helps show where Rajesha Rupaimoole may publish in the future.
Co-authorship network of co-authors of Rajesha Rupaimoole
This figure shows the co-authorship network connecting the top 25 collaborators of Rajesha Rupaimoole. A scholar is included among the top collaborators of Rajesha Rupaimoole 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 Rajesha Rupaimoole. Rajesha Rupaimoole is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 16 | |
| 3 | 54 | |
| 4 | 63 | |
| 5 | MicroRNA therapeutics: towards a new era for the management of cancer and other diseasesbreakdown → | 3607 |
| 6 | 41 | |
| 7 | 78 | |
| 8 | 9 | |
| 9 | 15 | |
| 10 | 77 | |
| 11 | 5 | |
| 12 | 26 | |
| 13 | 68 | |
| 14 | Hypoxia promotes stem cell phenotypes and poor prognosis through epigenetic regulation of DICER. : Hypoxia promotes stem cell phenotypes and poor prognosis through epigenetic regulation of DICER. | 1 |
| 15 | 185 | |
| 16 | 33 | |
| 17 | 314 | |
| 18 | 6 | |
| 19 | 156 | |
| 20 | 18 |
About Rajesha Rupaimoole
Rajesha Rupaimoole is a scholar working on Cancer Research, Immunology and Allergy and Molecular Biology, having authored 41 papers that have together received 6.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (14 papers) and RNA modifications and cancer (9 papers). The work is most often cited by research in Cancer Research (3.8k citations), Molecular Biology (4.5k citations) and Immunology (621 citations). Rajesha Rupaimoole has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Frank J. Slack, Anil K. Sood, Gabriel Lopez‐Berestein, George A. Călin, Cristian Rodriguez‐Aguayo, Cristina Ivan, Chad V. Pecot, Sunila Pradeep, Sherry Y. Wu and Jinsong Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.
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.