M.H. Lambert
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
-
- Peroxisome Proliferator-Activated Receptors 1
- Ion channel regulation and function 1
-
- Neuroscience and Neural Engineering 1
- Co-authors
- Michael V. Milburn (2 shared papers)D W Rose (1 shared paper)Michael G. Rosenfeld (1 shared paper)Valentina Perissi (1 shared paper)Lena Staszewski (1 shared paper)Riki Kurokawa (1 shared paper)Christopher K. Glass (1 shared paper)Anna Krones (1 shared paper)
- Journals
- Biological Cybernetics (1 paper)Current Topics in Medicinal Chemistry (1 paper)Genes & Development (1 paper)Handbook of experimental pharmacology (1 paper)Journal of Biomolecular Structure and Dynamics (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
M.H. Lambert
7 papers receiving 663 citations
Peers
Comparison fields: 5 of 83
- Genetics 298
- Molecular Biology 520
- Endocrinology, Diabetes and Metabolism 85
- Cellular and Molecular Neuroscience 78
- Biochemistry 19
Countries citing papers authored by M.H. Lambert
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
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 23 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 446 | |
| 2 | 1989 | 151 | |
| 3 | 2008 | 74 | |
| 4 | 1994 | 15 | |
| 5 | 2000 | 2 | |
| 6 | 2025 | 1 | |
| 7 | 2007 | 1 | |
| 8 | 1989 | 0 |
About M.H. Lambert
M.H. Lambert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 8 papers that have together received 690 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 (298 citations), Molecular Biology (520 citations), Endocrinology, Diabetes and Metabolism (85 citations), Cellular and Molecular Neuroscience (78 citations) and Biochemistry (19 citations). M.H. Lambert has collaborated with scholars based in United States and Germany. Frequent co-authors include Michael V. Milburn, D W Rose, Michael G. Rosenfeld, Valentina Perissi, Lena Staszewski, Riki Kurokawa, Christopher K. Glass, Anna Krones, Irena Roterman and K. D. Gibson. Their work appears in journals such as Biological Cybernetics, Current Topics in Medicinal Chemistry, Genes & Development, Handbook of experimental pharmacology and Journal of Biomolecular Structure and Dynamics.
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.