J.‐P. Magaud

25 papers receiving 863 citations

Peers

J.‐P. Magaud
Comparison fields: 5 of 81
  • Pathology and Forensic Medicine 358
  • Genetics 175
  • Hematology 131
  • Immunology 172
  • Dermatology 73
Replace D Germain with:
D Germain France
Victoria Bedell United States
Dalal M. Jadayel United Kingdom
E. K. W. Chiu China
Guang Fan United States
Vanessa J. Craig United States
Erica Ballabio United Kingdom
Claudiu V. Cotta United States
Janet L. Parkin United States
Cooley G. Pantazis United States
J.‐P. Magaud relative to D Germain France D Germain's profile →
Citations per field
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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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989218
2 1988138
3 198990
4 198661
5 198856
6
Myeloid surface antigen expression in adult acute lymphoblastic leukemia.
199055
7
CD34 expression is associated with major adverse prognostic factors in adult acute lymphoblastic leukemia.
199547
8 200145
9 199344
10 200538
11 200125
12 199817
13 201410
14 19878
15 19926
16 19886
17 19896
18
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
19 19945
20 20124

About J.‐P. Magaud

J.‐P. Magaud is a scholar working on Pathology and Forensic Medicine, Genetics, Hematology, Immunology and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 896 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Acute Lymphoblastic Leukemia research (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), T-cell and Retrovirus Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Acute Myeloid Leukemia Research (3 papers), Cancer Genomics and Diagnostics (2 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (358 citations), Genetics (175 citations), Hematology (131 citations), Immunology (172 citations) and Dermatology (73 citations). J.‐P. Magaud has collaborated with scholars based in France and United Kingdom. Frequent co-authors include David Y. Mason, Ian L. Sargent, Bertrand Coiffier, Ruth Rimokh, Françoise Berger, D Germain, Jacques Samarut, David Y. Mason, Martine Ffrench and Denis M. Fiere. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Haematology, Oncogene, Journal of Immunological Methods and Journal of Histochemistry & Cytochemistry.

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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