Patrick Ladaique

1.1k citations
38 papers · 736 · h-index 17

Impact in

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

Papers in

    • Hematopoietic Stem Cell Transplantation 28
    • Acute Myeloid Leukemia Research 7
    • Multiple Myeloma Research and Treatments 5
    • Neutropenia and Cancer Infections 4
    • Cancer Treatment and Pharmacology 3

Patrick Ladaique

37 papers receiving 724 citations

Peers

Patrick Ladaique
Comparison fields: 5 of 65
  • Hematology 564
  • Transplantation 66
  • Genetics 100
  • Immunology 197
  • Oncology 195
Replace Michael R. Bishop with:
Michael R. Bishop United States
Emma Watz Sweden
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Citations per field
00.5×3.1×
Michael R. Bishop · 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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000100
2 200579
3 200760
4 199753
5 201343
6 200535
7 201034
8 201231
9 200430
10 199729
11 201125
12 199920
13 200319
14 201319
15 200418
16 201218
17 200918
18 199714
19 200914
20 200012

About Patrick Ladaique

Patrick Ladaique is a scholar working on Hematology, Oncology, Genetics, Immunology and Molecular Biology, having authored 38 papers that have together received 736 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (28 papers), Acute Myeloid Leukemia Research (7 papers), Multiple Myeloma Research and Treatments (5 papers), Blood transfusion and management (4 papers), T-cell and B-cell Immunology (4 papers), Renal Transplantation Outcomes and Treatments (4 papers), Neutropenia and Cancer Infections (4 papers) and Cancer Treatment and Pharmacology (3 papers). The work is most often cited by research in Hematology (564 citations), Transplantation (66 citations), Genetics (100 citations), Immunology (197 citations) and Oncology (195 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, D Maraninchi, Réda Bouabdallah, Claude Lemarié and Boris Calmels. Their work appears in journals such as Experimental Hematology, Blood, Bone Marrow Transplantation, Transfusion and Leukemia.

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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