JP Magaud

1.5k citations
20 papers · 1.3k indexed · 1 hit paper · h-index 11

JP Magaud

20 papers receiving 1.2k citations

Hit Papers

High expression of bcl-2 protein in acute myeloid leukemi...6421993202620042015200400600

Peers

JP Magaud
Comparison fields: 5 of 78
  • Hematology 323
  • Genetics 218
  • Pathology and Forensic Medicine 368
  • Oncology 500
  • Molecular Biology 713
Replace Y Frutiger with:
Y Frutiger United States
C. Vasselon France
Georgios Z. Rassidakis United States
Patricia Gomez‐Bougie France
Dilara McCauley United States
Margarete Zaborski Germany
Dariusz Wołowiec Poland
Marc A. Weniger United States
Fanny Baran‐Marszak France
Masamichi Mori Japan
JP Magaud relative to Y Frutiger United States Y Frutiger's profile →
Citations per field
00.5×1.5×2.4×
Y Frutiger · 1×
Citations per year

Countries citing papers authored by JP Magaud

Since Specialization
Citations

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

Fields of papers citing papers by JP Magaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20013
2
[Mechanisms of BTG2 activity, a transcriptional target of p53: evidences and hypothesis].
19997
3 1997106
4 199410
5 1994165
6 19931
7
High expression of bcl-2 protein in acute myeloid leukemia cells is associated with poor response to chemotherapybreakdown →
1993642
8 199334
9 199340
10 199346
11 199343
12 199234
13 19924
14 199242
15 199232
16 19924
17 199240
18 19902
19 19897
20
Burkitt's lymphoma. Distinction of subgroups by morphometric analysis of the characteristics of 55 cell lines.
19857

About JP Magaud

JP Magaud is a scholar working on Hematology, Pathology and Forensic Medicine and Oncology, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Viral-associated cancers and disorders (7 papers), Acute Myeloid Leukemia Research (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), T-cell and Retrovirus Studies (2 papers), Cell death mechanisms and regulation (2 papers), Sarcoma Diagnosis and Treatment (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Hematology (323 citations), Genetics (218 citations) and Pathology and Forensic Medicine (368 citations). JP Magaud has collaborated with scholars based in France. Frequent co-authors include C. Vasselon, Odile Sabido, Lydia Campos, P. Oriol, N. Roubi, E Archimbaud, Ruth Rimokh, JP Rouault, Georges Delsol and F Berger. Their work appears in journals such as Blood, Leukemia, British Journal of Cancer, Cell Proliferation 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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