Raphaëlle Lambert

426 citations
7 papers · 348 · 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

Raphaëlle Lambert

7 papers receiving 344 citations

Peers

Raphaëlle Lambert
Comparison fields: 5 of 36
  • Hematology 60
  • Molecular Biology 216
  • Physiology 64
  • Genetics 70
  • Endocrine and Autonomic Systems 16
Replace Toshiyuki Niiya with:
Toshiyuki Niiya Japan
Kristine M. Morin United States
Mark E. Robinson United States
Jesús Peralta Spain
S Murru Italy
Shintaro Omori Japan
Pavel Davizon‐Castillo United States
Jai Prakash Muyal India
Katayoon Shirneshan Germany
Michael Eberhardson Sweden
Raphaëlle Lambert relative to Toshiyuki Niiya Japan Toshiyuki Niiya's profile →
Citations per field
00.5×3.9×
Toshiyuki Niiya · 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 2012208
2 200538
3 200532
4 200327
5 200421
6 200518
7 20234

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 348 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Renin-Angiotensin System Studies (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Regulation of Appetite and Obesity (2 papers), Hormonal Regulation and Hypertension (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Epigenetics and DNA Methylation (1 paper) and Advanced Fluorescence Microscopy Techniques (1 paper). The work is most often cited by research in Hematology (60 citations), Molecular Biology (216 citations), Physiology (64 citations), Genetics (70 citations) and Endocrine and Autonomic Systems (16 citations). Raphaëlle Lambert has collaborated with scholars based in Canada. Frequent co-authors include Alan Y. Deng, Brian T. Wilhelm, Josée Hébert, Guy Sauvageau, Annie Bilodeau, Camille Simon, Jalila Chagraoui, Pierre Chagnon, Simon Drouin and Martin Sauvageau. Their work appears in journals such as Hypertension, Physiological Genomics, Human Molecular Genetics, SLAS DISCOVERY and Genes & Development.

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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