EA Macintyre

2.0k citations
9 papers · 1.5k indexed · 1 hit paper · h-index 7

EA Macintyre

9 papers receiving 1.4k citations

Hit Papers

Standardized RT-PCR analysis of fusion gene transcripts f...8651999202620082017250500750

Peers

EA Macintyre
Comparison fields: 5 of 62
  • Hematology 1.1k
  • Genetics 305
  • Public Health, Environmental and Occupational Health 723
  • Pathology and Forensic Medicine 173
  • Molecular Biology 589
Replace Paula Gameiro with:
Paula Gameiro Portugal
JM Cayuela France
M Malec Sweden
SC Raimondi United States
Nathalie Douet‐Guilbert France
CM Rubin United States
Isabelle Tigaud France
Marianne Rissler Sweden
Stefania Paolini Italy
Udo zur Stadt Germany
EA Macintyre relative to Paula Gameiro Portugal Paula Gameiro's profile →
Citations per field
00.5×1.5×
Paula Gameiro · 1×
Citations per year

Countries citing papers authored by EA Macintyre

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with EA Macintyre Line = papers co-authored together EA Macintyre links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 200048
2
Standardized RT-PCR analysis of fusion gene transcripts from chromosome aberrations in acute leukemia for detection of minimal residual diseasebreakdown →
1999865
3 199812
4 1995104
5 199541
6 1995354
7 199250
8 19922
9
Comparison of alpha beta and gamma delta expressing CD3+ acute lymphoblastic leukemias.
19905

About EA Macintyre

EA Macintyre is a scholar working on Hematology, Immunology, Genetics, Pathology and Forensic Medicine and Oncology, having authored 9 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Acute Myeloid Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), CAR-T cell therapy research (3 papers), T-cell and Retrovirus Studies (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Hematology (1.1k citations), Genetics (305 citations), Public Health, Environmental and Occupational Health (723 citations), Pathology and Forensic Medicine (173 citations) and Molecular Biology (589 citations). EA Macintyre has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Éric Delabesse, Paula Gameiro, A Parreira, Jesús F. San Miguel, Jacques J. M. van Dongen, Gianpietro Dotti, M Malec, Frank Griesinger, J Gäbert 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.

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