Laure Gambardella

3.6k citations
30 papers · 2.2k indexed · 1 hit paper · h-index 23

Laure Gambardella

29 papers receiving 2.1k citations

Hit Papers

A Computational Tool for Quantitative Analysis of Vascula...7962011202620162021250500750

Peers

Laure Gambardella
Comparison fields: 5 of 115
  • Urology 194
  • Cell Biology 355
  • Immunology and Allergy 120
  • Molecular Biology 1.3k
  • Ophthalmology 158
Replace Michaël Nicolas with:
Michaël Nicolas Switzerland
M. Laurent France
Alexander G. Marneros United States
Elaine Tan United States
Hitomi Aoki Japan
Celeste B. Rich United States
Masato Morikawa Japan
Ichiko Saotome United States
Vivien J. Coulson‐Thomas United States
Éliane Chouery Lebanon
Laure Gambardella relative to Michaël Nicolas Switzerland Michaël Nicolas's profile →
Citations per field
00.5×
Michaël Nicolas · 1×
Citations per year

Countries citing papers authored by Laure Gambardella

Since Specialization
Citations

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

Fields of papers citing papers by Laure Gambardella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202313
2 20230
3 202227
4 202110
5 2019142
6 201828
7 201623
8 201657
9 201535
10 201453
11 201360
12
A Computational Tool for Quantitative Analysis of Vascular Networksbreakdown →
2011796
13 200832
14 200663
15 200680
16 200530
17 200387
18 2001146
19 2000172
20 200028

About Laure Gambardella

Laure Gambardella is a scholar working on Urology, Immunology and Allergy and Cell Biology, having authored 30 papers that have together received 2.2k indexed citations. Recurring topics across this work include Congenital heart defects research (8 papers), Hair Growth and Disorders (5 papers), Tissue Engineering and Regenerative Medicine (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Cell Adhesion Molecules Research (4 papers), Zebrafish Biomedical Research Applications (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Urology (194 citations), Cell Biology (355 citations) and Immunology and Allergy (120 citations). Laure Gambardella has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Sonja Vermeren, Enrique Zudaire, Yann Barrandon, Sanjay Sinha, William G. Bernard, Dharini Iyer, Anthony R. Green, Martin Turner, Karen E. Anderson and Phillip T. Hawkins. Their work appears in journals such as Genes & Development, Blood and Nature Biotechnology.

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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