Celine Pitou
Impact in
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Modeling and Simulation top 10%
- Mathematical Biology Tumor Growth
Papers in
- Genetics 5
- Myeloproliferative Neoplasms: Diagnosis and Treatment 5
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- Mathematical Biology Tumor Growth 3
- Co-authors
- Iñaki F. Trocóniz (5 shared papers)Dinesh P. de Alwis (1 shared paper)Sophie Glatt (1 shared paper)Jonathan M. Yingling (1 shared paper)Richard A. Walgren (4 shared papers)Philip W. Iversen (5 shared papers)Srđan Verstovšek (3 shared papers)Josef T. Prchal (3 shared papers)
- Journals
- Blood (2 papers)Leukemia Research (2 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)Investigational New Drugs (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Celine Pitou
21 papers receiving 815 citations
Peers
Comparison fields: 5 of 47
- Genetics 93
- Modeling and Simulation 31
- Oncology 116
- Pharmacology 26
- Molecular Biology 147
Countries citing papers authored by Celine Pitou
This map shows the geographic impact of Celine Pitou'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 Celine Pitou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Celine Pitou more than expected).
Fields of papers citing papers by Celine Pitou
This network shows the impact of papers produced by Celine Pitou. 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 Celine Pitou. The network helps show where Celine Pitou may publish in the future.
Co-authors
The 25 scholars most cited alongside Celine Pitou, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 190 | |
| 2 | 2015 | 98 | |
| 3 | 2018 | 61 | |
| 4 | 2013 | 58 | |
| 5 | 2019 | 50 | |
| 6 | 2015 | 48 | |
| 7 | 2018 | 46 | |
| 8 | 2020 | 44 | |
| 9 | 2014 | 36 | |
| 10 | 2017 | 32 | |
| 11 | 2011 | 31 | |
| 12 | 2022 | 26 | |
| 13 | 2019 | 24 | |
| 14 | 2013 | 23 | |
| 15 | 2018 | 16 | |
| 16 | 2017 | 15 | |
| 17 | 2021 | 10 | |
| 18 | 2016 | 9 | |
| 19 | 2018 | 8 | |
| 20 | 2019 | 8 |
About Celine Pitou
Celine Pitou is a scholar working on Genetics, Modeling and Simulation, Pharmacology, Reproductive Medicine and Molecular Biology, having authored 23 papers that have together received 837 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Mathematical Biology Tumor Growth (3 papers), TGF-β signaling in diseases (2 papers), Hedgehog Signaling Pathway Studies (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Ovarian cancer diagnosis and treatment (1 paper), Advanced Breast Cancer Therapies (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Genetics (93 citations), Modeling and Simulation (31 citations), Oncology (116 citations), Pharmacology (26 citations) and Molecular Biology (147 citations). Celine Pitou has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Iñaki F. Trocóniz, Dinesh P. de Alwis, Sophie Glatt, Jonathan M. Yingling, Richard A. Walgren, Philip W. Iversen, Srđan Verstovšek, Josef T. Prchal, Ruben A. Mesa and Maria Garcia‐Cremades. Their work appears in journals such as Blood, Leukemia Research, Journal of Pharmacology and Experimental Therapeutics, Investigational New Drugs and Clinical Cancer Research.
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.