F-X Mahon
Impact in
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in ⓘ
- Hematology 22
- Chronic Myeloid Leukemia Treatments 20
- Acute Myeloid Leukemia Research 3
- Genetics 11
- Chronic Lymphocytic Leukemia Research 9
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
- Co-authors
- Josy Reiffers (11 shared papers)Françis Belloc (5 shared papers)Jean Ripoche (5 shared papers)Claude Preudhomme (2 shared papers)JV Melo (2 shared papers)Valérie Lagarde (2 shared papers)Catherine Roche‐Lestienne (2 shared papers)Christophe F. Grosset (4 shared papers)
- Journals
- Leukemia (11 papers)Blood (3 papers)Annals of Oncology (2 papers)British Journal of Haematology (1 paper)Seminars in Hematology (1 paper)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
F-X Mahon
26 papers receiving 668 citations
Peers
Comparison fields: 5 of 61
- Hematology 496
- Genetics 370
- Rheumatology 230
- Immunology 74
- Oncology 91
Countries citing papers authored by F-X Mahon
This map shows the geographic impact of F-X Mahon'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 F-X Mahon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F-X Mahon more than expected).
Fields of papers citing papers by F-X Mahon
This network shows the impact of papers produced by F-X Mahon. 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 F-X Mahon. The network helps show where F-X Mahon may publish in the future.
Co-authors
The 25 scholars most cited alongside F-X Mahon, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 154 | |
| 2 | 2002 | 67 | |
| 3 | 2000 | 51 | |
| 4 | 2013 | 49 | |
| 5 | 2011 | 40 | |
| 6 | 2009 | 35 | |
| 7 | 2018 | 32 | |
| 8 | 2017 | 31 | |
| 9 | 2012 | 30 | |
| 10 | 1998 | 30 | |
| 11 | 1994 | 29 | |
| 12 | 1995 | 28 | |
| 13 | 2009 | 20 | |
| 14 | 1996 | 17 | |
| 15 | 1998 | 15 | |
| 16 | 1997 | 13 | |
| 17 | 2016 | 11 | |
| 18 | 1999 | 8 | |
| 19 | 2002 | 7 | |
| 20 | 2003 | 5 |
About F-X Mahon
F-X Mahon is a scholar working on Hematology, Genetics, Rheumatology, Immunology and Immunology and Allergy, having authored 26 papers that have together received 682 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (20 papers), Eosinophilic Disorders and Syndromes (10 papers), Chronic Lymphocytic Leukemia Research (9 papers), Mast cells and histamine (3 papers), Acute Myeloid Leukemia Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (496 citations), Genetics (370 citations), Rheumatology (230 citations), Immunology (74 citations) and Oncology (91 citations). F-X Mahon has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Josy Reiffers, Françis Belloc, Jean Ripoche, Claude Preudhomme, JV Melo, Valérie Lagarde, Catherine Roche‐Lestienne, Christophe F. Grosset, Franck E. Nicolini and Philippe Rousselot. Their work appears in journals such as Leukemia, Blood, Annals of Oncology, British Journal of Haematology and Seminars in Hematology.
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.