Mathilde Marchand
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers 9
- Colorectal Cancer Treatments and Studies 5
- CAR-T cell therapy research 2
- Pancreatic and Hepatic Oncology Research 2
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- Biosimilars and Bioanalytical Methods 3
- Immunotherapy and Immune Responses 2
- Modeling and Simulation top 10%
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- Monoclonal and Polyclonal Antibodies Research 5
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- Melanoma and MAPK Pathways 2
- Co-authors
- René BrunoSandhya GirishJin Y. JinHelen WinterBenjamin WuStephen EpplerMark StrohOyewale O. Abidoye
- Journals
- CPT Pharmacometrics & Systems Pharmacology (4 papers)Cancer Chemotherapy and Pharmacology (4 papers)Clinical Pharmacology & Therapeutics (2 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Mathilde Marchand
18 papers receiving 372 citations
Peers
Comparison fields: 5 of 53
- Oncology 255
- Immunology 120
- Modeling and Simulation 21
- Transplantation 12
- Radiology, Nuclear Medicine and Imaging 91
Countries citing papers authored by Mathilde Marchand
This map shows the geographic impact of Mathilde Marchand'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 Mathilde Marchand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathilde Marchand more than expected).
Fields of papers citing papers by Mathilde Marchand
This network shows the impact of papers produced by Mathilde Marchand. 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 Mathilde Marchand. The network helps show where Mathilde Marchand may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mathilde Marchand, 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 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 5 | |
| 11 | 2021 | 24 | |
| 12 | 2021 | 24 | |
| 13 | 2021 | 15 | |
| 14 | 2019 | 62 | |
| 15 | 2017 | 15 | |
| 16 | 2016 | 55 | |
| 17 | 2016 | 116 | |
| 18 | 2015 | 22 | |
| 19 | 2015 | 1 |
About Mathilde Marchand
Mathilde Marchand is a scholar working on Transplantation, Oncology and Immunology, having authored 19 papers that have together received 388 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Colorectal Cancer Treatments and Studies (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Biosimilars and Bioanalytical Methods (3 papers), CAR-T cell therapy research (2 papers), Melanoma and MAPK Pathways (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Oncology (255 citations), Immunology (120 citations) and Modeling and Simulation (21 citations). Mathilde Marchand has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include René Bruno, Sandhya Girish, Jin Y. Jin, Helen Winter, Benjamin Wu, Stephen Eppler, Mark Stroh, Oyewale O. Abidoye, Jane Ruppel and Laurent Claret. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Cancer Chemotherapy and Pharmacology, Clinical Pharmacology & Therapeutics, Clinical Cancer Research and Journal of Clinical Oncology.
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.