Murielle Roussel

10.2k citations
82 papers · 2.3k indexed · h-index 21

Impact in

  • Hematology top 0.5%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 1%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Multiple Myeloma Research and Treatments 56
    • Chronic Lymphocytic Leukemia Research 11
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 9

Murielle Roussel

73 papers receiving 2.2k citations

Peers

Murielle Roussel
Comparison fields: 5 of 63
  • Hematology 1.4k
  • Genetics 727
  • Nephrology 257
  • Oncology 710
  • Rheumatology 381
Replace RA Kyle with:
RA Kyle United States
PR Greipp United States
Christopher P. Venner Canada
Jamile M. Shammo United States
Elisabetta Antonioli Italy
Nasios Fourouclas United Kingdom
Jean-Paul Fermand France
S Swanton United Kingdom
M. A. Gertz United States
Helmut Löffler Germany
Murielle Roussel relative to RA Kyle United States RA Kyle's profile →
Citations per field
00.5×4.6×
RA Kyle · 1×
Citations per year

Countries citing papers authored by Murielle Roussel

Since Specialization
Citations

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

Fields of papers citing papers by Murielle Roussel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20243
4 20240
5 20241
6 20231
7 202319
8 20228
9 202118
10 202015
11 201715
12 201658
13 20151
14 2015255
15 201485
16 201276
17 201210
18 201118
19 2010298
20 201096

About Murielle Roussel

Murielle Roussel is a scholar working on Hematology, Genetics, Oncology, Nephrology and Molecular Biology, having authored 82 papers that have together received 2.3k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (56 papers), Protein Degradation and Inhibitors (24 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (21 papers), Cancer Treatment and Pharmacology (16 papers), Peptidase Inhibition and Analysis (13 papers), Chronic Lymphocytic Leukemia Research (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers) and HIV/AIDS drug development and treatment (7 papers). The work is most often cited by research in Hematology (1.4k citations), Genetics (727 citations), Nephrology (257 citations), Oncology (710 citations) and Rheumatology (381 citations). Murielle Roussel has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Michel Attal, Philippe Moreau, Hervé Avet‐Loiseau, Thierry Façon, Sylvie Chevret, Sylvia Bellucci, Pascal Turlure, Jean‐Jacques Kiladjian, Christine Chomienne and Bruno Cassinat. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Haematologica and HemaSphere.

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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