J.‐P. Magaud

23 papers receiving 826 citations

Peers

J.‐P. Magaud
Comparison fields: 5 of 81
  • Pathology and Forensic Medicine 332
  • Genetics 158
  • Hematology 124
  • Dermatology 69
  • Immunology 163
Replace D Germain with:
D Germain France
Dalal Jadayel United Kingdom
Erica Ballabio United Kingdom
Thierry Lavabre‐Bertrand France
Sakura Sakajiri Japan
Christophe Girardet Switzerland
Claudiu Cotta United States
Vanessa J. Craig United States
Uwe Kordes Germany
Cooley G. Pantazis United States
J.‐P. Magaud relative to D Germain France D Germain's profile →
Citations per field
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D Germain · 1×
Citations per year

Countries citing papers authored by J.‐P. Magaud

Since Specialization
Citations

This map shows the geographic impact of J.‐P. Magaud'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 J.‐P. Magaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.‐P. Magaud more than expected).

Fields of papers citing papers by J.‐P. Magaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.‐P. Magaud. 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 J.‐P. Magaud. The network helps show where J.‐P. Magaud may publish in the future.

Co-authors

The 25 scholars most cited alongside J.‐P. Magaud, 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 J.‐P. Magaud Line = papers co-authored together J.‐P. Magaud links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989208
2 1988137
3 198988
4 198654
5 198852
6
Myeloid surface antigen expression in adult acute lymphoblastic leukemia.
199051
7 200144
8
CD34 expression is associated with major adverse prognostic factors in adult acute lymphoblastic leukemia.
199543
9 199341
10 200534
11 200123
12 199818
13 20148
14 19877
15 19886
16 19896
17 19926
18 19945
19
Proliferation of MIELIKI a novel t(7;9) early pre-B acute lymphoblastic leukemia cell line is inhibited concomitantly by IL-4 and IL-7.
19955
20 19904

About J.‐P. Magaud

J.‐P. Magaud is a scholar working on Pathology and Forensic Medicine, Genetics, Immunology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 847 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (6 papers), Acute Lymphoblastic Leukemia research (5 papers), T-cell and Retrovirus Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Acute Myeloid Leukemia Research (3 papers), T-cell and B-cell Immunology (2 papers) and Cutaneous lymphoproliferative disorders research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (332 citations), Genetics (158 citations), Hematology (124 citations), Dermatology (69 citations) and Immunology (163 citations). J.‐P. Magaud has collaborated with scholars based in France and United Kingdom. Frequent co-authors include Ian L. Sargent, David Y. Mason, Ruth Rimokh, Bertrand Coiffier, Françoise Berger, D Germain, David Y. Mason, Jacques Samarut, Martine Ffrench and D Fière. Their work appears in journals such as Journal of Clinical Oncology, Oncogene, British Journal of Haematology, Journal of Histochemistry & Cytochemistry and Experimental 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.

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