Marion Classe
Impact in
- Otorhinolaryngology top 5%
- Sinusitis and nasal conditions
- Head and Neck Cancer Studies
- Immunology and Allergy top 10%
- Allergic Rhinitis and Sensitization
Papers in
- Surgery 12
- Head and Neck Surgical Oncology 7
- Salivary Gland Tumors Diagnosis and Treatment 2
-
- Head and Neck Cancer Studies 6
- Sinusitis and nasal conditions 4
- Co-authors
- Xavier Leroy (5 shared papers)Gabriel G. Malouf (4 shared papers)Benjamin Vérillaud (7 shared papers)David Khayat (3 shared papers)Xiaoping Su (3 shared papers)Philippe Herman (6 shared papers)Michel Wassef (6 shared papers)Éric Deutsch (4 shared papers)
- Journals
- Bioinformatics (2 papers)Histopathology (2 papers)Current Opinion in Oncology (2 papers)Cancer Research (2 papers)Pediatric Blood & Cancer (1 paper)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Marion Classe
29 papers receiving 426 citations
Peers
Comparison fields: 5 of 56
- Otorhinolaryngology 90
- Immunology and Allergy 45
- Sensory Systems 30
- Oncology 121
- Cancer Research 65
Countries citing papers authored by Marion Classe
This map shows the geographic impact of Marion Classe'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 Marion Classe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Classe more than expected).
Fields of papers citing papers by Marion Classe
This network shows the impact of papers produced by Marion Classe. 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 Marion Classe. The network helps show where Marion Classe may publish in the future.
Co-authors
The 25 scholars most cited alongside Marion Classe, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 62 | |
| 2 | 2018 | 57 | |
| 3 | 2018 | 41 | |
| 4 | 2016 | 39 | |
| 5 | 2022 | 26 | |
| 6 | 2021 | 25 | |
| 7 | 2016 | 25 | |
| 8 | 2019 | 21 | |
| 9 | 2023 | 16 | |
| 10 | 2014 | 16 | |
| 11 | 2022 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2016 | 10 | |
| 14 | 2017 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2019 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2016 | 7 | |
| 19 | 2021 | 5 | |
| 20 | 2020 | 4 |
About Marion Classe
Marion Classe is a scholar working on Surgery, Otorhinolaryngology, Molecular Biology, Oncology and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 431 indexed citations. Recurring topics across this work include Head and Neck Surgical Oncology (7 papers), Head and Neck Cancer Studies (6 papers), Sinusitis and nasal conditions (4 papers), Ear and Head Tumors (4 papers), Renal cell carcinoma treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Allergic Rhinitis and Sensitization (2 papers) and Salivary Gland Tumors Diagnosis and Treatment (2 papers). The work is most often cited by research in Otorhinolaryngology (90 citations), Immunology and Allergy (45 citations), Sensory Systems (30 citations), Oncology (121 citations) and Cancer Research (65 citations). Marion Classe has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Xavier Leroy, Gabriel G. Malouf, Benjamin Vérillaud, David Khayat, Xiaoping Su, Philippe Herman, Michel Wassef, Éric Deutsch, Hélène Sudour‐Bonnange and Hui Yao. Their work appears in journals such as Bioinformatics, Histopathology, Current Opinion in Oncology, Cancer Research and Pediatric Blood & Cancer.
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.