J. Lavaud

588 citations
20 papers · 475 · h-index 10

Impact in

Papers in

J. Lavaud

18 papers receiving 466 citations

Peers

J. Lavaud
Comparison fields: 5 of 66
  • Biomaterials 124
  • Surfaces, Coatings and Films 61
  • Biomedical Engineering 276
  • Urology 23
  • Molecular Medicine 16
Replace Smitha Mathews with:
Smitha Mathews India
Chuying Ma China
Eleonora Carletti Italy
Virginia Llopis-Hernández United Kingdom
Jue‐Yeon Lee South Korea
Qiaozhi Lu United States
Diana Trentin Switzerland
A. Aguilar Cuba
Nick R. M. Beijer Netherlands
Ruixian Lian China
J. Lavaud relative to Smitha Mathews India Smitha Mathews's profile →
Citations per field
00.5×1.5×2×2.4×
Smitha Mathews · 1×
Citations per year

Countries citing papers authored by J. Lavaud

Since Specialization
Citations

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

Fields of papers citing papers by J. Lavaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2016134
2 201661
3 201558
4 201557
5 201740
6 201734
7 202029
8 201914
9 201613
10 20199
11 20156
12
[De novo monosomy 4q32.1 leads to 4qter in a newborn with multiple malformations (author's transl)].
19796
13 20195
14 20142
15
[Newborn asphyxia at term during delivery].
20032
16
[Sudden infant death syndrome].
19902
17
[Adrenal insufficiency and iatrogenic Cushing's syndrome by cutaneous absorption of corticosteroids in an 8 month old infant].
19802
18 20141
19
[Creatine kinase BB sera in neonatal injury children (author's transl)].
19800
20 20210

About J. Lavaud

J. Lavaud is a scholar working on Biomedical Engineering, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Dermatology and Pediatrics, Perinatology and Child Health, having authored 20 papers that have together received 475 indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (3 papers), Nanoplatforms for cancer theranostics (3 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Polymer Surface Interaction Studies (2 papers), Metabolism and Genetic Disorders (2 papers), Dermatology and Skin Diseases (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers) and Bone health and treatments (2 papers). The work is most often cited by research in Biomaterials (124 citations), Surfaces, Coatings and Films (61 citations), Biomedical Engineering (276 citations), Urology (23 citations) and Molecular Medicine (16 citations). J. Lavaud has collaborated with scholars based in France, Hungary and Portugal. Frequent co-authors include Véronique Josserand, Jean‐Luc Coll, Raphaël Guillot, Maxime Henry, Julien Vollaire, Cécile Olivier, G. Bettega, Jean Boutonnât, Françoise Peyrin and E. Mahé. Their work appears in journals such as Acta Biomaterialia, International Journal of Biological Sciences, Nanomedicine Nanotechnology Biology and Medicine, Frontiers in Pharmacology and Biomaterials.

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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