Stéphane Liva

457 citations
5 papers · 105 · h-index 3

Impact in

    • Genomic variations and chromosomal abnormalities
    • Glioma Diagnosis and Treatment
    • Cancer Genomics and Diagnostics

Papers in

    • Cancer-related Molecular Pathways 1
    • Lung Cancer Research Studies 1
    • Advanced Biosensing Techniques and Applications 1
    • Cancer therapeutics and mechanisms 1

Stéphane Liva

5 papers receiving 105 citations

Peers

Stéphane Liva
Comparison fields: 5 of 26
  • Genetics 15
  • Cancer Research 18
  • Genetics 35
  • Neurology 14
  • Molecular Biology 58
Replace William L. Macken with:
William L. Macken United Kingdom
Yuan Yin China
Mohsin Badat United Kingdom
Richard P. Finney United States
Carolina Rosswog Germany
C. Langford United States
Tímea Pócza Hungary
Orla Deevy Ireland
Fupan Yao Canada
Leonardo Santos Germany
Stéphane Liva relative to William L. Macken United Kingdom William L. Macken's profile →
Citations per field
00.5×1.5×
William L. Macken · 1×
Citations per year

Countries citing papers authored by Stéphane Liva

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Liva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 200664
2 200528
3 200710
4 19992
5 20251

About Stéphane Liva

Stéphane Liva is a scholar working on Oncology, Molecular Biology, Genetics, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 5 papers that have together received 105 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (2 papers), Cancer-related Molecular Pathways (1 paper), Lung Cancer Research Studies (1 paper), Cancer Genomics and Diagnostics (1 paper), Advanced Biosensing Techniques and Applications (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), Cancer therapeutics and mechanisms (1 paper) and Genomic variations and chromosomal abnormalities (1 paper). The work is most often cited by research in Genetics (15 citations), Cancer Research (18 citations), Genetics (35 citations), Neurology (14 citations) and Molecular Biology (58 citations). Stéphane Liva has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Philippe Hupé, Emmanuel Barillot, Pierre Neuvial, Caroline Brennetot, Élodie Manié, Alain Aurias, François Radvanyi, Isabel Martínez Brito, Olivier Delattre and Isabelle Janoueix‐Lerosey. Their work appears in journals such as Neuro-Oncology, International Journal of Cancer, Cell Cycle, BMC Bioinformatics and Cancer Genetics and Cytogenetics.

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