Raluca Eftimie
Impact in
- Modeling and Simulation top 0.2%
- Mathematical Biology Tumor Growth
- Immunology top 10%
Papers in
-
- Mathematical Biology Tumor Growth 32
- COVID-19 epidemiological studies 7
- Co-authors
- David J. D. Earn (5 shared papers)Jonathan L. Bramson (4 shared papers)Andrés Buonanno (2 shared papers)Hans Rudolf Brenner (2 shared papers)Mark A. Lewis (3 shared papers)Gerda de Vries (3 shared papers)Dumitru Trucu (14 shared papers)Doreen A. Cantrell (1 shared paper)
- Journals
- Journal of Theoretical Biology (11 papers)Bulletin of Mathematical Biology (7 papers)Mathematical Biosciences & Engineering (6 papers)Mathematical Models and Methods in Applied Sciences (5 papers)Mathematical Biosciences (4 papers)
- Partner nations
- United KingdomFranceCanada
In The Last Decade
Raluca Eftimie
80 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 139
- Modeling and Simulation 772
- Immunology 337
- Oncology 384
- Genetics 380
- Cell Biology 221
Countries citing papers authored by Raluca Eftimie
This map shows the geographic impact of Raluca Eftimie'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 Raluca Eftimie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raluca Eftimie more than expected).
Fields of papers citing papers by Raluca Eftimie
This network shows the impact of papers produced by Raluca Eftimie. 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 Raluca Eftimie. The network helps show where Raluca Eftimie may publish in the future.
Co-authors
The 25 scholars most cited alongside Raluca Eftimie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 333 | |
| 2 | 1991 | 280 | |
| 3 | 2016 | 137 | |
| 4 | 1992 | 122 | |
| 5 | 2007 | 91 | |
| 6 | 2011 | 72 | |
| 7 | 2015 | 65 | |
| 8 | 2007 | 63 | |
| 9 | 2019 | 54 | |
| 10 | 2011 | 44 | |
| 11 | 2010 | 43 | |
| 12 | 2022 | 38 | |
| 13 | 2013 | 33 | |
| 14 | 2008 | 32 | |
| 15 | 2009 | 29 | |
| 16 | 2021 | 29 | |
| 17 | 2017 | 29 | |
| 18 | 2016 | 28 | |
| 19 | 2015 | 26 | |
| 20 | 2023 | 20 |
About Raluca Eftimie
Raluca Eftimie is a scholar working on Modeling and Simulation, Molecular Biology, Public Health, Environmental and Occupational Health, Genetics and Oncology, having authored 84 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (32 papers), Mathematical and Theoretical Epidemiology and Ecology Models (19 papers), Cellular Mechanics and Interactions (11 papers), Virus-based gene therapy research (10 papers), Evolution and Genetic Dynamics (8 papers), Evolutionary Game Theory and Cooperation (8 papers), COVID-19 epidemiological studies (7 papers) and Immunotherapy and Immune Responses (7 papers). The work is most often cited by research in Modeling and Simulation (772 citations), Immunology (337 citations), Oncology (384 citations), Genetics (380 citations) and Cell Biology (221 citations). Raluca Eftimie has collaborated with scholars based in United Kingdom, France and Canada. Frequent co-authors include David J. D. Earn, Jonathan L. Bramson, Andrés Buonanno, Hans Rudolf Brenner, Mark A. Lewis, Gerda de Vries, Dumitru Trucu, Doreen A. Cantrell, Nicoline Y. den Breems and Jonathan Dushoff. Their work appears in journals such as Journal of Theoretical Biology, Bulletin of Mathematical Biology, Mathematical Biosciences & Engineering, Mathematical Models and Methods in Applied Sciences and Mathematical Biosciences.
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.