M Leporrier

5.4k citations
107 papers · 3.5k · h-index 26

Impact in

  • Genetics top 0.5%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 1%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion

Papers in

M Leporrier

103 papers receiving 3.3k citations

Peers

M Leporrier
Comparison fields: 5 of 107
  • Genetics 1.6k
  • Hematology 1.0k
  • Pathology and Forensic Medicine 1.5k
  • Immunology 961
  • Nephrology 245
Replace Georges Fillet with:
Georges Fillet Belgium
Felicetto Ferrara Italy
Louis F. Diehl United States
Anders Österborg Sweden
G Spencer-Green United States
Brendan M. Weiss United States
Lloyd E. Damon United States
Pirow Bekker United States
J M Bennett United States
J. A. Child United Kingdom
M Leporrier relative to Georges Fillet Belgium Georges Fillet's profile →
Citations per field
00.5×3.2×
Georges Fillet · 1×
Citations per year

Countries citing papers authored by M Leporrier

Since Specialization
Citations

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

Fields of papers citing papers by M Leporrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996367
2 1998323
3 1977300
4 2001298
5 2008242
6 1993185
7 2008184
8 1996127
9 1990103
10 199698
11 198783
12 200882
13 199277
14 199262
15
Virus recovery from stools of patients undergoing bone marrow transplantation.
199345
16 197944
17 199941
18 201138
19 200136
20 200032

About M Leporrier

M Leporrier is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Oncology and Immunology, having authored 107 papers that have together received 3.5k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (31 papers), Lymphoma Diagnosis and Treatment (29 papers), Immunodeficiency and Autoimmune Disorders (14 papers), Acute Lymphoblastic Leukemia research (13 papers), Chronic Myeloid Leukemia Treatments (6 papers), Platelet Disorders and Treatments (6 papers), Iron Metabolism and Disorders (5 papers) and CNS Lymphoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Genetics (1.6k citations), Hematology (1.0k citations), Pathology and Forensic Medicine (1.5k citations), Immunology (961 citations) and Nephrology (245 citations). M Leporrier has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Guillaume Dighiero, Xavier Troussard, Éliane Gluckman, Bruno Cazin, Brigitte Dreyfus, Karim Maloum, J. Jaubert, J L Binet, Philippe Travade and B Desablens. Their work appears in journals such as Blood, Cancer, British Journal of Haematology, Journal of Clinical Oncology and New England Journal of Medicine.

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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