Marlène Pasquet

3.5k citations
59 papers · 1.1k indexed · h-index 20

Marlène Pasquet

55 papers receiving 1.1k citations

Peers

Marlène Pasquet
Comparison fields: 5 of 83
  • Hematology 285
  • Public Health, Environmental and Occupational Health 348
  • Immunology 248
  • Infectious Diseases 190
  • Pediatrics, Perinatology and Child Health 162
Replace Yoshiko Hashii with:
Yoshiko Hashii Japan
Karoline Ehlert Germany
Marc Schmalzing Germany
Kimikazu Matsumoto Japan
Ami J. Shah United States
Isabel Badell Spain
Hwan‐Jung Yun South Korea
Randi Nygaard Norway
Karl‐Walter Sykora Germany
Kimikazu Yakushijin Japan
Marlène Pasquet relative to Yoshiko Hashii Japan Yoshiko Hashii's profile →
Citations per field
00.5×1.5×2.3×
Yoshiko Hashii · 1×
Citations per year

Countries citing papers authored by Marlène Pasquet

Since Specialization
Citations

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

Fields of papers citing papers by Marlène Pasquet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20242
4 20230
5 20232
6 20234
7 20236
8 20215
9 202010
10 20200
11 20201
12 202013
13 20189
14 201815
15 201644
16 201437
17 201329
18 20125
19 201234
20 201015

About Marlène Pasquet

Marlène Pasquet is a scholar working on Hematology, Nephrology, Transplantation, Immunology and Public Health, Environmental and Occupational Health, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (12 papers), Acute Myeloid Leukemia Research (10 papers), Immunodeficiency and Autoimmune Disorders (10 papers), Childhood Cancer Survivors' Quality of Life (8 papers), Blood disorders and treatments (7 papers), Platelet Disorders and Treatments (7 papers), Hematopoietic Stem Cell Transplantation (6 papers) and Neuroblastoma Research and Treatments (6 papers). The work is most often cited by research in Hematology (285 citations), Public Health, Environmental and Occupational Health (348 citations), Immunology (248 citations), Infectious Diseases (190 citations) and Pediatrics, Perinatology and Child Health (162 citations). Marlène Pasquet has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Stéphane Ducassou, Sylvain Sampériz, Duksha Ramful, Jean‐Luc Alessandri, Magali Carbonnier, A Fourmaintraux, Arnaud Petit, Guy Leverger, André Baruchel and Brigitte Nelken. Their work appears in journals such as Pediatric Blood & Cancer, Blood, Cancer Causes & Control, British Journal of Haematology 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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