Philippe Agapé
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Hemoglobinopathies and Related Disorders
Papers in
- Hematology 12
- Hematopoietic Stem Cell Transplantation 6
- Chronic Myeloid Leukemia Treatments 4
- Acute Myeloid Leukemia Research 2
- Platelet Disorders and Treatments 2
- Genetics 7
- Chronic Lymphocytic Leukemia Research 3
- Co-authors
- Gérald Marit (9 shared papers)Josy Reiffers (6 shared papers)Arnaud Pigneux (6 shared papers)Pascale Cony‐Makhoul (6 shared papers)Olivier Fitoussi (2 shared papers)Bernard Dazey (3 shared papers)JM Boiron (3 shared papers)Frank Nicolini (1 shared paper)
In The Last Decade
Philippe Agapé
20 papers receiving 368 citations
Peers
Comparison fields: 5 of 46
- Hematology 276
- Genetics 130
- Oncology 86
- Immunology 63
- Rheumatology 27
Countries citing papers authored by Philippe Agapé
This map shows the geographic impact of Philippe Agapé'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 Philippe Agapé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Agapé more than expected).
Fields of papers citing papers by Philippe Agapé
This network shows the impact of papers produced by Philippe Agapé. 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 Philippe Agapé. The network helps show where Philippe Agapé may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Agapé, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 72 | |
| 2 | 2001 | 66 | |
| 3 | 2003 | 39 | |
| 4 | 1998 | 31 | |
| 5 | 2000 | 31 | |
| 6 | 1998 | 26 | |
| 7 | 1999 | 22 | |
| 8 | 2013 | 19 | |
| 9 | 1997 | 12 | |
| 10 | 2004 | 11 | |
| 11 | 2001 | 9 | |
| 12 | 1999 | 8 | |
| 13 | 2011 | 8 | |
| 14 | 2000 | 7 | |
| 15 | 2018 | 6 | |
| 16 | 2016 | 5 | |
| 17 | 1998 | 2 | |
| 18 | Intérêt du dosage sérique de l'antigène galactomannane par méthode ELISA chez les patients présentant un risque d'aspergillose invasive dans un service d'hématologie | 1999 | 2 |
| 19 | 2016 | 1 | |
| 20 | 2019 | 1 |
About Philippe Agapé
Philippe Agapé is a scholar working on Hematology, Genetics, Molecular Biology, Neurology and Immunology, having authored 20 papers that have together received 378 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Chronic Myeloid Leukemia Treatments (4 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Acute Myeloid Leukemia Research (2 papers), Eosinophilic Disorders and Syndromes (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Hematology (276 citations), Genetics (130 citations), Oncology (86 citations), Immunology (63 citations) and Rheumatology (27 citations). Philippe Agapé has collaborated with scholars based in France, India and Brazil. Frequent co-authors include Gérald Marit, Josy Reiffers, Arnaud Pigneux, Pascale Cony‐Makhoul, Olivier Fitoussi, Bernard Dazey, JM Boiron, Frank Nicolini, Francis Lacombe and Marie Thérèse Caulier. Their work appears in journals such as Bone Marrow Transplantation, British Journal of Haematology, Leukemia, Blood and BMC 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.