Marielle Chiron
- Hematology top 5%
- Multiple Myeloma Research and Treatments 9
- Physiology top 2%
- Calcium signaling and nucleotide metabolism 5
- Oncology top 10%
- Colorectal Cancer Treatments and Studies 9
- Cancer Treatment and Pharmacology 8
- HER2/EGFR in Cancer Research 6
- Hepatology top 10%
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 5
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- Monoclonal and Polyclonal Antibodies Research 9
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- Gastric Cancer Management and Outcomes 5
- Co-authors
- Pascale LejeuneThomas ChittendenAdriana PleșaFrançois ValléeCharles DumontetMarie-Cécile WetzelVéronique BlancJutta Deckert
- Cited by
- HematologyPhysiologyOncology
- Partner nations
- FranceUnited StatesSpain
In The Last Decade
Marielle Chiron
41 papers receiving 731 citations
Peers
Comparison fields: 5 of 62
- Hematology 321
- Physiology 118
- Oncology 440
- Hepatology 62
- Genetics 81
Countries citing papers authored by Marielle Chiron
This map shows the geographic impact of Marielle Chiron'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 Marielle Chiron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marielle Chiron more than expected).
Fields of papers citing papers by Marielle Chiron
This network shows the impact of papers produced by Marielle Chiron. 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 Marielle Chiron. The network helps show where Marielle Chiron may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marielle Chiron, 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 | 2025 | 0 | |
| 2 | 2024 | 17 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 23 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 17 | |
| 9 | 2020 | 37 | |
| 10 | 2019 | 37 | |
| 11 | 2017 | 3 | |
| 12 | 2016 | 21 | |
| 13 | 2015 | 1 | |
| 14 | 2015 | 26 | |
| 15 | 2014 | 245 | |
| 16 | 2014 | 56 | |
| 17 | Combination of the antiangiogenic agent aflibercept (VEGF Trap) with docetaxel or gemcitabine results in greater antitumor activity in tumor bearing mice. | 2008 | 6 |
| 18 | Synergistic activity of aflibercept (VEGF Trap) in combination with 5-fluorouracil and irinotecan in preclinical tumor models | 2007 | 10 |
| 19 | In vivo synergy between trastuzumab (herceptin ® ) and larotaxel (RPR 109881A), a new taxoid. | 2007 | 2 |
| 20 | 2000 | 42 |
About Marielle Chiron
Marielle Chiron is a scholar working on Physiology, Oncology and Hematology, having authored 44 papers that have together received 745 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (9 papers), Colorectal Cancer Treatments and Studies (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Cancer Treatment and Pharmacology (8 papers), HER2/EGFR in Cancer Research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Gastric Cancer Management and Outcomes (5 papers) and Calcium signaling and nucleotide metabolism (5 papers). The work is most often cited by research in Hematology (321 citations), Physiology (118 citations) and Oncology (440 citations). Marielle Chiron has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Pascale Lejeune, Thomas Chittenden, Adriana Pleșa, François Vallée, Charles Dumontet, Marie-Cécile Wetzel, Véronique Blanc, Jutta Deckert, Anna Skaletskaya and Paul Ferrari. Their work appears in journals such as Journal of Clinical Oncology, Blood and 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.