P Mannoni

4.5k citations
140 papers · 3.9k · h-index 33

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 28
    • Acute Myeloid Leukemia Research 27
    • Blood groups and transfusion 10
    • Chronic Myeloid Leukemia Treatments 7
    • T-cell and B-cell Immunology 14
    • Immunotherapy and Immune Responses 12

P Mannoni

130 papers receiving 3.6k citations

Peers

P Mannoni
Comparison fields: 5 of 99
  • Hematology 1.6k
  • Immunology and Allergy 308
  • Immunology 683
  • Oncology 390
  • Genetics 105
Replace Nydia G. Testa with:
Nydia G. Testa United Kingdom
Ralph Quinones United States
Josette Guichard France
Reinier A P Raymakers Netherlands
Tom Vink Netherlands
Lora W. Barsky United States
Gary C. Starling United States
Valérie Gouilleux‐Gruart France
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Citations per field
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Citations per year

Countries citing papers authored by P Mannoni

Since Specialization
Citations

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

Fields of papers citing papers by P Mannoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988537
2 1992193
3 1990148
4
Myeloid and megakaryocytic properties of K-562 cell lines.
1983132
5 1985118
6 1990107
7 1979104
8 1988102
9
Differentiation of K562 leukemia cells along erythroid, macrophage, and megakaryocyte lineages.
198694
10 200694
11 198989
12 198282
13
Biochemical characterization and analysis of the transforming potential of the FLT3/FLK2 receptor tyrosine kinase.
199382
14 199178
15 199176
16 199176
17 199067
18 197762
19 198861
20 197560

About P Mannoni

P Mannoni is a scholar working on Hematology, Immunology, Genetics, Biochemistry and Oncology, having authored 140 papers that have together received 3.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (28 papers), Acute Myeloid Leukemia Research (27 papers), Virus-based gene therapy research (25 papers), T-cell and B-cell Immunology (14 papers), Immunotherapy and Immune Responses (12 papers), Blood groups and transfusion (10 papers), Blood transfusion and management (8 papers) and Chronic Myeloid Leukemia Treatments (7 papers). The work is most often cited by research in Hematology (1.6k citations), Immunology and Allergy (308 citations), Immunology (683 citations), Oncology (390 citations) and Genetics (105 citations). P Mannoni has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Sem Saeland, Claude Bagnis, Marie‐Josèphe Pébusque, Edward A. Clark, Timothy A. Springer, Gale E. Ginther Luce, Stephen Shaw, Michael Loran Dustin, Malegapuru William Makgoba and Martin E. Sanders. Their work appears in journals such as Blood, Cancer Gene Therapy, British Journal of Haematology, The Lancet and Cancer.

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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