Céline Sarr
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
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- Cancer Genomics and Diagnostics
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 4
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- Renal cell carcinoma treatment 2
- Lung Cancer Treatments and Mutations 2
- Co-authors
- Lena E. Friberg (2 shared papers)Moran Elishmereni (1 shared paper)Jordi Rodón (3 shared papers)David Mills (1 shared paper)Iñaki F. Trocóniz (1 shared paper)Lucia Trandafir (1 shared paper)Irene Braña (1 shared paper)Paolo Magni (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)Investigational New Drugs (1 paper)Advanced Drug Delivery Reviews (1 paper)BMC Pulmonary Medicine (1 paper)CPT Pharmacometrics & Systems Pharmacology (1 paper)
- Partner nations
- United StatesSwitzerlandSweden
In The Last Decade
Céline Sarr
13 papers receiving 375 citations
Peers
Comparison fields: 5 of 70
- Modeling and Simulation 66
- Cancer Research 75
- Statistics and Probability 36
- Oncology 99
- Pulmonary and Respiratory Medicine 98
Countries citing papers authored by Céline Sarr
This map shows the geographic impact of Céline Sarr'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 Céline Sarr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Céline Sarr more than expected).
Fields of papers citing papers by Céline Sarr
This network shows the impact of papers produced by Céline Sarr. 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 Céline Sarr. The network helps show where Céline Sarr may publish in the future.
Co-authors
The 25 scholars most cited alongside Céline Sarr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 152 | |
| 2 | 2014 | 134 | |
| 3 | 2012 | 33 | |
| 4 | 2017 | 27 | |
| 5 | 2021 | 14 | |
| 6 | 2012 | 4 | |
| 7 | 2024 | 4 | |
| 8 | 2012 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2011 | 2 | |
| 11 | 2011 | 2 | |
| 12 | 2022 | 1 | |
| 13 | Hyperglycemia in patients treated with the pan-PI3K inhibitor buparlisib (BKM120): characterization, management, and assessment for pharmacodynamics | 2013 | 1 |
| 14 | 2011 | 1 |
About Céline Sarr
Céline Sarr is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Modeling and Simulation and Genetics, having authored 14 papers that have together received 382 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Mathematical Biology Tumor Growth (3 papers), Renal cell carcinoma treatment (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Lung Cancer Treatments and Mutations (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Modeling and Simulation (66 citations), Cancer Research (75 citations), Statistics and Probability (36 citations), Oncology (99 citations) and Pulmonary and Respiratory Medicine (98 citations). Céline Sarr has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Lena E. Friberg, Moran Elishmereni, Jordi Rodón, David Mills, Iñaki F. Trocóniz, Lucia Trandafir, Irene Braña, Paolo Magni, Cristian Massacesi and Nicholas H. G. Holford. Their work appears in journals such as Journal of Clinical Oncology, Investigational New Drugs, Advanced Drug Delivery Reviews, BMC Pulmonary Medicine and CPT Pharmacometrics & Systems Pharmacology.
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.