M.H. Lambert

801 citations
6 papers · 651 · h-index 4

Impact in

  • Genetics top 10%
    • Estrogen and related hormone effects
    • Retinoids in leukemia and cellular processes
    • Protein Structure and Dynamics
    • Peroxisome Proliferator-Activated Receptors
    • Receptor Mechanisms and Signaling

Papers in

M.H. Lambert

4 papers receiving 634 citations

Peers

M.H. Lambert
Comparison fields: 5 of 78
  • Genetics 282
  • Molecular Biology 500
  • Endocrinology, Diabetes and Metabolism 77
  • Cellular and Molecular Neuroscience 75
  • Biochemistry 18
Replace M Dautrevaux with:
M Dautrevaux France
N.D. Hammond United States
Zahra Parandoosh United States
Karin Dahlman Sweden
A. Rotondi Italy
Hing-Yat Peter Lam Canada
Dietrich Brandenburg Germany
Jan Westerman Netherlands
Rosanna Tedesco United States
Joe Rogers United States
M.H. Lambert relative to M Dautrevaux France M Dautrevaux's profile →
Citations per field
00.5×8.5×
M Dautrevaux · 1×
Citations per year

Countries citing papers authored by M.H. Lambert

Since Specialization
Citations

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

Fields of papers citing papers by M.H. Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside M.H. 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 M.H. Lambert Line = papers co-authored together M.H. Lambert links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About M.H. Lambert

M.H. Lambert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Atomic and Molecular Physics, and Optics and Cell Biology, having authored 6 papers that have together received 651 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (1 paper), Estrogen and related hormone effects (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Molecular spectroscopy and chirality (1 paper), Ion channel regulation and function (1 paper), Neuroscience and Neural Engineering (1 paper) and Spectroscopy and Quantum Chemical Studies (1 paper). The work is most often cited by research in Genetics (282 citations), Molecular Biology (500 citations), Endocrinology, Diabetes and Metabolism (77 citations), Cellular and Molecular Neuroscience (75 citations) and Biochemistry (18 citations). M.H. Lambert has collaborated with scholars based in United States. Frequent co-authors include Michael V. Milburn, Christopher K. Glass, Lena Staszewski, Anna Krones, D W Rose, Michael G. Rosenfeld, Valentina Perissi, Riki Kurokawa, Irena Roterman and Harold A. Scheraga. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Annals of the New York Academy of Sciences, Biological Cybernetics, Genes & Development and Current Topics in Medicinal Chemistry.

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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