Marc Maynadié
- Pathology and Forensic Medicine top 0.5%
- Oncology top 1%
- Hematology top 0.5%
- Genetics top 0.5%
- Epidemiology top 2%
- Co-authors
- Rafael Marcos‐GrageraRoberta De AngelisOtto VisserMilena SantAnne‐Marie BouvierFabrice CarratLaurent BeaugerieClaudia Allemani
- Topics
- Lymphoma Diagnosis and Treatment (44 papers)Acute Lymphoblastic Leukemia research (29 papers)Acute Myeloid Leukemia Research (27 papers)
- Journals
- The LancetJournal of Clinical OncologySHILAP Revista de lepidopterología
In The Last Decade
Marc Maynadié
125 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Pathology and Forensic Medicine 1.8k
- Oncology 1.7k
- Hematology 1.4k
- Genetics 1.2k
- Epidemiology 1.1k
Countries citing papers authored by Marc Maynadié
This map shows the geographic impact of Marc Maynadié'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 Marc Maynadié with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Maynadié more than expected).
Fields of papers citing papers by Marc Maynadié
This network shows the impact of papers produced by Marc Maynadié. 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 Marc Maynadié. The network helps show where Marc Maynadié may publish in the future.
Co-authorship network of co-authors of Marc Maynadié
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Maynadié. A scholar is included among the top collaborators of Marc Maynadié based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc Maynadié. Marc Maynadié is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 25 | |
| 9 | 16 | |
| 10 | 9 | |
| 11 | 18 | |
| 12 | What are the delays in providing cancer care in France? A study based on data from cancer registries. | 1 |
| 13 | 127 | |
| 14 | 15 | |
| 15 | 26 | |
| 16 | 0 | |
| 17 | 26 | |
| 18 | 45 | |
| 19 | 24 | |
| 20 | Testing the proportional hazards assumption in medical survival studies--application to a population-based study of acute myeloid leukaemia. | 3 |
About Marc Maynadié
Marc Maynadié is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 132 papers that have together received 5.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (44 papers), Acute Lymphoblastic Leukemia research (29 papers) and Acute Myeloid Leukemia Research (27 papers). The work is most often cited by research in Hematology (1.4k citations), Genetics (1.2k citations) and Pathology and Forensic Medicine (1.8k citations). Marc Maynadié has collaborated with scholars based in France, Spain and Italy. Frequent co-authors include Rafael Marcos‐Gragera, Roberta De Angelis, Otto Visser, Milena Sant, Anne‐Marie Bouvier, Fabrice Carrat, Laurent Beaugerie, Claudia Allemani, Carmen Ţereanu and Tony Petrella. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.