Rita Ciurlionis
- Molecular Biology
- Oncology
- Computational Theory and Mathematics top 5%
- Pharmacology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Jeffrey F. WaringRoger G. UlrichRobert A. JollyMatthew HeindelMichael J. LiguoriTerry R. Van VleetDavid C. MorfittEric A.G. Blomme
- Topics
- Gene expression and cancer classification (6 papers)Carcinogens and Genotoxicity Assessment (5 papers)Pharmacogenetics and Drug Metabolism (4 papers)
- Journals
- Nature GeneticsEnvironmental Health PerspectivesInternational Journal of Molecular Sciences
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Rita Ciurlionis
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 641
- Oncology 199
- Computational Theory and Mathematics 193
- Pharmacology 122
- Radiology, Nuclear Medicine and Imaging 118
Countries citing papers authored by Rita Ciurlionis
This map shows the geographic impact of Rita Ciurlionis'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 Rita Ciurlionis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Ciurlionis more than expected).
Fields of papers citing papers by Rita Ciurlionis
This network shows the impact of papers produced by Rita Ciurlionis. 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 Rita Ciurlionis. The network helps show where Rita Ciurlionis may publish in the future.
Co-authorship network of co-authors of Rita Ciurlionis
This figure shows the co-authorship network connecting the top 25 collaborators of Rita Ciurlionis. A scholar is included among the top collaborators of Rita Ciurlionis 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 Rita Ciurlionis. Rita Ciurlionis 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 | 3 | |
| 3 | 1 | |
| 4 | 162 | |
| 5 | 178 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | 9 | |
| 9 | 9 | |
| 10 | 4 | |
| 11 | 26 | |
| 12 | 22 | |
| 13 | 33 | |
| 14 | 23 | |
| 15 | 2 | |
| 16 | 56 | |
| 17 | 268 | |
| 18 | 240 | |
| 19 | 1 | |
| 20 | 53 |
About Rita Ciurlionis
Rita Ciurlionis is a scholar working on Pharmacology, Cancer Research and Hepatology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Carcinogens and Genotoxicity Assessment (5 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Pharmacology (122 citations), Computational Theory and Mathematics (193 citations) and Molecular Biology (641 citations). Rita Ciurlionis has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jeffrey F. Waring, Roger G. Ulrich, Robert A. Jolly, Matthew Heindel, Michael J. Liguori, Terry R. Van Vleet, David C. Morfitt, Eric A.G. Blomme, Pek Yee Lum and Jens Præstgaard. Their work appears in journals such as Nature Genetics, Environmental Health Perspectives and International Journal of Molecular Sciences.
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.