EA Macintyre
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Acute Myeloid Leukemia Research 3
- Chronic Myeloid Leukemia Treatments 2
-
- Immune Cell Function and Interaction 5
- T-cell and Retrovirus Studies 2
- Co-authors
- Éric Delabesse (3 shared papers)Frank Griesinger (1 shared paper)António Parreira (1 shared paper)Jesús F. San Miguel (1 shared paper)M Malec (1 shared paper)Gianpietro Dotti (1 shared paper)J Gäbert (1 shared paper)Alessandro Rambaldi (1 shared paper)
- Journals
- Blood (5 papers)Leukemia (4 papers)PubMed (2 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
EA Macintyre
11 papers receiving 1.7k citations
EA Macintyre's Hit Papers
Peers
Comparison fields: 5 of 62
- Hematology 1.1k
- Genetics 332
- Public Health, Environmental and Occupational Health 814
- Pathology and Forensic Medicine 207
- Molecular Biology 610
Countries citing papers authored by EA Macintyre
This map shows the geographic impact of EA Macintyre'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 EA Macintyre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites EA Macintyre more than expected).
Fields of papers citing papers by EA Macintyre
This network shows the impact of papers produced by EA Macintyre. 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 EA Macintyre. The network helps show where EA Macintyre may publish in the future.
Co-authors
The 25 scholars most cited alongside EA Macintyre, 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 | Standardized RT-PCR analysis of fusion gene transcripts from chromosome aberrations in acute leukemia for detection of minimal residual disease Hit paper breakdown → | 1999 | 995 |
| 2 | 1995 | 381 | |
| 3 | 1995 | 110 | |
| 4 | 2009 | 58 | |
| 5 | 1992 | 54 | |
| 6 | 2000 | 50 | |
| 7 | 1995 | 45 | |
| 8 | 2021 | 44 | |
| 9 | 1998 | 14 | |
| 10 | Comparison of alpha beta and gamma delta expressing CD3+ acute lymphoblastic leukemias. | 1990 | 5 |
| 11 | 1992 | 2 |
About EA Macintyre
EA Macintyre is a scholar working on Hematology, Immunology, Pathology and Forensic Medicine, Genetics and Oncology, having authored 11 papers that have together received 1.8k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (5 papers), Immune Cell Function and Interaction (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Acute Myeloid Leukemia Research (3 papers), CAR-T cell therapy research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Chronic Myeloid Leukemia Treatments (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Hematology (1.1k citations), Genetics (332 citations), Public Health, Environmental and Occupational Health (814 citations), Pathology and Forensic Medicine (207 citations) and Molecular Biology (610 citations). EA Macintyre has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Éric Delabesse, Frank Griesinger, António Parreira, Jesús F. San Miguel, M Malec, Gianpietro Dotti, J Gäbert, Alessandro Rambaldi, Paula Gameiro and Enrico Gottardi. Their work appears in journals such as Blood, Leukemia and PubMed.
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.