Loan Vulliard

418 citations
6 papers · 120 · h-index 4

Impact in

Papers in

    • Single-cell and spatial transcriptomics 4
    • Gene expression and cancer classification 2
    • Protein Degradation and Inhibitors 1
    • Chromatin Remodeling and Cancer 1
    • Cell Image Analysis Techniques 3
    • Advanced Fluorescence Microscopy Techniques 2

Loan Vulliard

6 papers receiving 119 citations

Peers

Loan Vulliard
Comparison fields: 5 of 36
  • Biophysics 13
  • Pathology and Forensic Medicine 32
  • Molecular Biology 96
  • Immunology 21
  • Media Technology 5
Replace Scott E. Youlten with:
Scott E. Youlten Australia
Mareen Lüthen Germany
Katharina Ehrenhöfer-Wölfer Austria
Subarna Palit Germany
Batuhan Çakır United Kingdom
Maria Azkanaz Netherlands
Eleanor Fewings United Kingdom
Michael Lazare United States
Jelena Kresoja‐Rakic Switzerland
Amber L. Zeeman Netherlands
Loan Vulliard relative to Scott E. Youlten Australia Scott E. Youlten's profile →
Citations per field
00.5×6.4×
Scott E. Youlten · 1×
Citations per year

Countries citing papers authored by Loan Vulliard

Since Specialization
Citations

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

Fields of papers citing papers by Loan Vulliard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 201991
2 202118
3 20215
4 20253
5 20252
6 20241

About Loan Vulliard

Loan Vulliard is a scholar working on Molecular Biology, Biophysics, Health, Toxicology and Mutagenesis, Computational Theory and Mathematics and Cancer Research, having authored 6 papers that have together received 120 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (3 papers), Gene expression and cancer classification (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Cancer Genomics and Diagnostics (1 paper), Protein Degradation and Inhibitors (1 paper), Computational Drug Discovery Methods (1 paper) and Chromatin Remodeling and Cancer (1 paper). The work is most often cited by research in Biophysics (13 citations), Pathology and Forensic Medicine (32 citations), Molecular Biology (96 citations), Immunology (21 citations) and Media Technology (5 citations). Loan Vulliard has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Jörg Menche, André F. Rendeiro, Katja Parapatics, Thomas Penz, Bernd Boidol, Guido Boehmelt, Stefan Kubicek, Mark Petronczki, Christian Schmidl and André C. Müller. Their work appears in journals such as Nature Communications, iScience, Nature Genetics, Bioinformatics and Cell Reports.

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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