Mathieu Puyade
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Pathology and Forensic Medicine top 10%
- Systemic Sclerosis and Related Diseases
Papers in
-
- Systemic Sclerosis and Related Diseases 10
- Lymphoma Diagnosis and Treatment 4
- Genetics 16
- Chronic Lymphocytic Leukemia Research 11
- Blood disorders and treatments 4
- Co-authors
- M. Martin (11 shared papers)P. Roblot (12 shared papers)Marie‐Christine Pérault‐Pochat (2 shared papers)Dominique Farge (12 shared papers)Franck Rouby (2 shared papers)Marion Sassier (2 shared papers)Blandine Rammaert (8 shared papers)Pauline Lansiaux (9 shared papers)
In The Last Decade
Mathieu Puyade
47 papers receiving 454 citations
Peers
Comparison fields: 5 of 68
- Hematology 87
- Pathology and Forensic Medicine 134
- Genetics 79
- Oncology 154
- Immunology 95
Countries citing papers authored by Mathieu Puyade
This map shows the geographic impact of Mathieu Puyade'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 Puyade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Puyade more than expected).
Fields of papers citing papers by Mathieu Puyade
This network shows the impact of papers produced by Mathieu Puyade. 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 Puyade. The network helps show where Mathieu Puyade may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathieu Puyade, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 84 | |
| 2 | 2019 | 27 | |
| 3 | 2020 | 24 | |
| 4 | 2019 | 23 | |
| 5 | 2018 | 18 | |
| 6 | 2020 | 18 | |
| 7 | 2022 | 17 | |
| 8 | 2019 | 17 | |
| 9 | 2020 | 14 | |
| 10 | 2017 | 13 | |
| 11 | 2017 | 11 | |
| 12 | 2012 | 11 | |
| 13 | 2017 | 10 | |
| 14 | 2021 | 10 | |
| 15 | 2017 | 10 | |
| 16 | 2021 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2019 | 8 |
About Mathieu Puyade
Mathieu Puyade is a scholar working on Pathology and Forensic Medicine, Genetics, Hematology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 57 papers that have together received 461 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (11 papers), Systemic Sclerosis and Related Diseases (10 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Lymphoma Diagnosis and Treatment (4 papers), Multiple Myeloma Research and Treatments (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Blood disorders and treatments (4 papers) and Systemic Lupus Erythematosus Research (4 papers). The work is most often cited by research in Hematology (87 citations), Pathology and Forensic Medicine (134 citations), Genetics (79 citations), Oncology (154 citations) and Immunology (95 citations). Mathieu Puyade has collaborated with scholars based in France, Canada and Italy. Frequent co-authors include M. Martin, P. Roblot, Marie‐Christine Pérault‐Pochat, Dominique Farge, Franck Rouby, Marion Sassier, Blandine Rammaert, Pauline Lansiaux, Ghada Miremont‐Salamé and F. Roblot. Their work appears in journals such as Cancers, Supportive Care in Cancer, British Journal of Haematology, International Journal of Cardiology and Frontiers in Immunology.
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.