Stéphane Gérart

486 citations
4 papers · 170 · h-index 4

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunodeficiency and Autoimmune Disorders
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
    • Autoimmune and Inflammatory Disorders Research

Papers in

Stéphane Gérart

4 papers receiving 168 citations

Peers

Stéphane Gérart
Comparison fields: 5 of 43
  • Immunology 142
  • Hematology 20
  • Virology 4
  • Epidemiology 27
  • Genetics 24
Replace Elena Deripapa with:
Elena Deripapa Russia
Max Quastel United Kingdom
Alexander Muselman United States
Cristina Cifaldi Italy
Louis Pérol France
Marla C. Glass United States
María Soledad Caldirola Argentina
Chiara Pirillo United Kingdom
Анастасія Бондаренко Ukraine
E. Estefanía Spain
Stéphane Gérart relative to Elena Deripapa Russia Elena Deripapa's profile →
Citations per field
00.5×4.5×
Elena Deripapa · 1×
Citations per year

Countries citing papers authored by Stéphane Gérart

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Gérart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Stéphane Gérart, 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 Stéphane Gérart Line = papers co-authored together Stéphane Gérart links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Stéphane Gérart

Stéphane Gérart is a scholar working on Immunology, Statistical and Nonlinear Physics, Artificial Intelligence, Hematology and Management Science and Operations Research, having authored 4 papers that have together received 170 indexed citations. Recurring topics across this work include Data Quality and Management (1 paper), Advanced Graph Neural Networks (1 paper), Complex Network Analysis Techniques (1 paper), Mathematical Biology Tumor Growth (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), T-cell and B-cell Immunology (1 paper), Immune Cell Function and Interaction (1 paper) and Autoimmune and Inflammatory Disorders Research (1 paper). The work is most often cited by research in Immunology (142 citations), Hematology (20 citations), Virology (4 citations), Epidemiology (27 citations) and Genetics (24 citations). Stéphane Gérart has collaborated with scholars based in France and Canada. Frequent co-authors include Sylvain Latour, Emmanuel Martin, Alain Fischer, Capucine Pïcard, Christelle Lenoir, Olivier Lantz, Claire Aguilar, Sophie Sibéril, Isabelle Callebaut and Clotilde Randriamampita. Their work appears in journals such as Artificial Intelligence in Medicine, Journal of Allergy and Clinical Immunology, Computer Science Review and Blood.

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.

Explore authors with similar magnitude of impact