Patrick Ladaique

1.1k citations
44 papers · 964 · h-index 18

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments

Papers in

    • Hematopoietic Stem Cell Transplantation 31
    • Multiple Myeloma Research and Treatments 6
    • Acute Myeloid Leukemia Research 5
    • Cancer Treatment and Pharmacology 4
    • CAR-T cell therapy research 3

Patrick Ladaique

42 papers receiving 941 citations

Peers

Patrick Ladaique
Comparison fields: 5 of 69
  • Hematology 669
  • Transplantation 57
  • Biochemistry 75
  • Genetics 98
  • Immunology 185
Replace Karim Boudjedir with:
Karim Boudjedir France
Emma Watz Sweden
Andrés Insunza Spain
Joan Uehlinger United States
David Stroncek United States
Claudia Rutt Germany
van Rood Jj Netherlands
G Vezon France
Javier Zuazu Spain
EM Mickelson United States
Patrick Ladaique relative to Karim Boudjedir France Karim Boudjedir's profile →
Citations per field
00.5×2×2.7×
Karim Boudjedir · 1×
Citations per year

Countries citing papers authored by Patrick Ladaique

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Ladaique

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000106
2 200594
3 201873
4 200769
5 199758
6 201352
7 200846
8 200539
9 201036
10 201236
11 201131
12 199730
13 200429
14 201223
15 199921
16 201320
17 200320
18 200320
19 200418
20 200918

About Patrick Ladaique

Patrick Ladaique is a scholar working on Hematology, Oncology, Genetics, Biochemistry and Transplantation, having authored 44 papers that have together received 964 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (31 papers), Multiple Myeloma Research and Treatments (6 papers), Acute Myeloid Leukemia Research (5 papers), Blood transfusion and management (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Cancer Treatment and Pharmacology (4 papers), CAR-T cell therapy research (3 papers) and Renal Transplantation Outcomes and Treatments (3 papers). The work is most often cited by research in Hematology (669 citations), Transplantation (57 citations), Biochemistry (75 citations), Genetics (98 citations) and Immunology (185 citations). Patrick Ladaique has collaborated with scholars based in France and Germany. Frequent co-authors include Didier Blaise, Christian Chabannon, Catherine Faucher, Norbert Vey, Mohamad Mohty, Diane Coso, Dominique Maraninchi, Réda Bouabdallah, Claude Lemarié and Boris Calmels. Their work appears in journals such as Experimental Hematology, Blood, Bone Marrow Transplantation, Leukemia and Transfusion.

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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