M. Laforet

490 citations
6 papers · 384 · h-index 6

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immunodeficiency and Autoimmune Disorders
    • Hematopoietic Stem Cell Transplantation

Papers in

    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 2
    • Immunodeficiency and Autoimmune Disorders 1
    • Diabetes and associated disorders 2

M. Laforet

6 papers receiving 370 citations

Peers

M. Laforet
Comparison fields: 5 of 58
  • Immunology 292
  • Hematology 41
  • Oncology 66
  • Virology 11
  • Geophysics 26
Replace Marie‐Marthe Tongio with:
Marie‐Marthe Tongio France
Dianne H. Wilson United States
Patrick Haddad France
Elisabeth Z. Wolpert Sweden
N Shinohara Japan
ALAIN FISCHER France
Veronique Debacker Belgium
T Hercend France
Takehisa Kaneko Japan
Toshio Yabe Japan
M. Laforet relative to Marie‐Marthe Tongio France Marie‐Marthe Tongio's profile →
Citations per field
00.5×1.5×
Marie‐Marthe Tongio · 1×
Citations per year

Countries citing papers authored by M. Laforet

Since Specialization
Citations

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

Fields of papers citing papers by M. Laforet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside M. Laforet, 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. Laforet Line = papers co-authored together M. Laforet links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About M. Laforet

M. Laforet is a scholar working on Immunology, Genetics, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 6 papers that have together received 384 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (3 papers), Diabetes and associated disorders (2 papers), Immunotherapy and Immune Responses (2 papers), Immunodeficiency and Autoimmune Disorders (1 paper), Blood groups and transfusion (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Immunology (292 citations), Hematology (41 citations), Oncology (66 citations), Virology (11 citations) and Geophysics (26 citations). M. Laforet has collaborated with scholars based in France and United Kingdom. Frequent co-authors include Huguette Bausinger, Jean‐Pierre Cazenave, A. Urlacher, A. Falkenrodt, Marie‐Marthe Tongio, M. M. Tongio, Barret D. Pfeiffer, Dominique Fricker, Adrian P. Kelly and Jean Salamero. Their work appears in journals such as Human Immunology, Science and Tissue Antigens.

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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