Raphaëlle Lambert

426 citations
7 papers · 339 indexed · h-index 6

Impact in

    • Acute Myeloid Leukemia Research
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • Histone Deacetylase Inhibitors Research
    • RNA modifications and cancer

Papers in

    • Adipose Tissue and Metabolism 5
    • Epigenetics and DNA Methylation 1
    • Single-cell and spatial transcriptomics 1
    • Metabolomics and Mass Spectrometry Studies 1

Raphaëlle Lambert

7 papers receiving 339 citations

Peers

Raphaëlle Lambert
Comparison fields: 5 of 37
  • Hematology 61
  • Molecular Biology 228
  • Physiology 77
  • Genetics 80
  • Endocrine and Autonomic Systems 19
Replace Shiow J. Lin with:
Shiow J. Lin United States
Joban Sehmi United Kingdom
Débora A. Casolari Australia
Toshiyuki Niiya Japan
Naruhiro Fujita Japan
Shintaro Omori Japan
Trevor Funari United States
M C Postel-Vinay France
Nicaud France
Sean J. Jurgens United States
Raphaëlle Lambert relative to Shiow J. Lin United States Shiow J. Lin's profile →
Citations per field
00.5×4.8×
Shiow J. Lin · 1×
Citations per year

Countries citing papers authored by Raphaëlle Lambert

Since Specialization
Citations

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

Fields of papers citing papers by Raphaëlle Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Raphaëlle Lambert, 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 Raphaëlle Lambert Line = papers co-authored together Raphaëlle Lambert links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2012201
2 200538
3 200531
4 200327
5 200421
6 200518
7 20233

About Raphaëlle Lambert

Raphaëlle Lambert is a scholar working on Physiology, Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Genetics, having authored 7 papers that have together received 339 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Renin-Angiotensin System Studies (2 papers), Regulation of Appetite and Obesity (2 papers), Epigenetics and DNA Methylation (1 paper), Single-cell and spatial transcriptomics (1 paper), Cell Image Analysis Techniques (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Hematology (61 citations), Molecular Biology (228 citations), Physiology (77 citations), Genetics (80 citations) and Endocrine and Autonomic Systems (19 citations). Raphaëlle Lambert has collaborated with scholars based in Canada. Frequent co-authors include Alan Y. Deng, Guy Sauvageau, Josée Hébert, Jalila Chagraoui, Geneviève Boucher, Pierre Chagnon, Simon Drouin, Annie Bilodeau, Sébastien Lemieux and Sylvie Lavallée. Their work appears in journals such as Hypertension, Genes & Development, SLAS DISCOVERY, Hypertension Research and Human Molecular Genetics.

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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