Muriel Picard

994 citations
25 papers · 260 · h-index 10

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Autoimmune and Inflammatory Disorders Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • CAR-T cell therapy research 4
    • Neutropenia and Cancer Infections 3
    • Acute Myeloid Leukemia Research 5
    • Autoimmune and Inflammatory Disorders Research 2

Muriel Picard

23 papers receiving 256 citations

Peers

Muriel Picard
Comparison fields: 5 of 52
  • Hematology 127
  • Genetics 40
  • Emergency Medicine 30
  • Immunology 61
  • Infectious Diseases 48
Replace Ryoko Yamasaki with:
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Ambra Paolini Italy
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Citations per field
00.5×
Ryoko Yamasaki · 1×
Citations per year

Countries citing papers authored by Muriel Picard

Since Specialization
Citations

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

Fields of papers citing papers by Muriel Picard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201358
2 201842
3 201925
4 201123
5 201920
6 197512
7 202012
8 202211
9 202111
10 201910
11 20197
12 20205
13 20245
14 20224
15 20213
16
Les logiciels éducatifs
19872
17 20242
18 20162
19 20132
20 20211

About Muriel Picard

Muriel Picard is a scholar working on Oncology, Hematology, Immunology, Molecular Biology and Genetics, having authored 25 papers that have together received 260 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Acute Lymphoblastic Leukemia research (4 papers), CAR-T cell therapy research (4 papers), Neutropenia and Cancer Infections (3 papers), Intraperitoneal and Appendiceal Malignancies (3 papers), Virus-based gene therapy research (2 papers), Hernia repair and management (2 papers) and Autoimmune and Inflammatory Disorders Research (2 papers). The work is most often cited by research in Hematology (127 citations), Genetics (40 citations), Emergency Medicine (30 citations), Immunology (61 citations) and Infectious Diseases (48 citations). Muriel Picard has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Christian Récher, Françoise Huguet, Sarah Bertoli, Audrey Sarry, Véronique Mansat‐De Mas, Cécile Demur, Suzanne Tavitian, Jill Corre, K. Delavigne and Muriel Alvarez. Their work appears in journals such as Blood, Haematologica, Clinical Cancer Research, American Journal of Respiratory and Critical Care Medicine and Journal of Cutaneous Pathology.

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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