Mathieu Viennot
Impact in
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
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- Cancer Genomics and Diagnostics
Papers in
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- Lymphoma Diagnosis and Treatment 13
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Pierre‐Julien Viailly (11 shared papers)Philippe Ruminy (14 shared papers)Fabrice Jardin (12 shared papers)Élodie Bohers (10 shared papers)Hervé Tilly (7 shared papers)Pierre Véra (3 shared papers)Thierry Lecroq B (3 shared papers)Fanny Drieux (4 shared papers)
- Journals
- Blood Advances (2 papers)HemaSphere (2 papers)Hematological Oncology (2 papers)Cancers (2 papers)BMC Bioinformatics (1 paper)
- Partner nations
- FranceSwitzerland
In The Last Decade
Mathieu Viennot
20 papers receiving 290 citations
Peers
Comparison fields: 5 of 27
- Pathology and Forensic Medicine 152
- Cancer Research 49
- Health Informatics 7
- Genetics 10
- Hematology 15
Countries citing papers authored by Mathieu Viennot
This map shows the geographic impact of Mathieu Viennot'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 Mathieu Viennot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Viennot more than expected).
Fields of papers citing papers by Mathieu Viennot
This network shows the impact of papers produced by Mathieu Viennot. 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 Mathieu Viennot. The network helps show where Mathieu Viennot may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathieu Viennot, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 75 | |
| 2 | 2020 | 38 | |
| 3 | 2015 | 30 | |
| 4 | 2021 | 29 | |
| 5 | 2020 | 21 | |
| 6 | 2020 | 17 | |
| 7 | 2022 | 16 | |
| 8 | 2020 | 12 | |
| 9 | 2022 | 12 | |
| 10 | 2019 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 7 | |
| 13 | 2022 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2021 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2021 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Mathieu Viennot
Mathieu Viennot is a scholar working on Pathology and Forensic Medicine, Cancer Research, Genetics, Otorhinolaryngology and Molecular Biology, having authored 24 papers that have together received 290 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (13 papers), Cancer Genomics and Diagnostics (3 papers), Genomics and Phylogenetic Studies (2 papers), Circular RNAs in diseases (2 papers), Lung Cancer Treatments and Mutations (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Head and Neck Cancer Studies (1 paper) and Genomic variations and chromosomal abnormalities (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (152 citations), Cancer Research (49 citations), Health Informatics (7 citations), Genetics (10 citations) and Hematology (15 citations). Mathieu Viennot has collaborated with scholars based in France and Switzerland. Frequent co-authors include Pierre‐Julien Viailly, Philippe Ruminy, Fabrice Jardin, Élodie Bohers, Hervé Tilly, Pierre Véra, Thierry Lecroq B, Fanny Drieux, Vincent Camus and Hélène Dauchel. Their work appears in journals such as Blood Advances, HemaSphere, Hematological Oncology, Cancers and BMC Bioinformatics.
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.