Walter Wahli
Impact in
- Biochemistry top 0.01%
- Physiology top 0.05%
- Adipose Tissue and Metabolism
Papers in
-
- Peroxisome Proliferator-Activated Receptors 179
- Metabolism, Diabetes, and Cancer 47
- Retinoids in leukemia and cellular processes 28
- Physiology 109
- Adipose Tissue and Metabolism 91
- Reproductive biology and impacts on aquatic species 24
- Co-authors
- Béatrice Desvergne (80 shared papers)Liliane Michalik (65 shared papers)Olivier Braissant (15 shared papers)Sander Kersten (18 shared papers)Frank J. Gonzalez (7 shared papers)Nguan Soon Tan (49 shared papers)Pascal Escher (13 shared papers)Grigorios D. Krey (8 shared papers)
- Journals
- Journal of Biological Chemistry (29 papers)Molecular and Cellular Biology (16 papers)The EMBO Journal (15 papers)Molecular Endocrinology (15 papers)Proceedings of the National Academy of Sciences (13 papers)
- Partner nations
- SwitzerlandFranceSingapore
In The Last Decade
Walter Wahli
365 papers receiving 46.3k citations
Walter Wahli's Hit Papers
Peers
Comparison fields: 5 of 165
- Biochemistry 4.0k
- Physiology 12.0k
- Molecular Biology 30.2k
- Cancer Research 5.2k
- Physiology 1.5k
Countries citing papers authored by Walter Wahli
This map shows the geographic impact of Walter Wahli'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 Walter Wahli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter Wahli more than expected).
Fields of papers citing papers by Walter Wahli
This network shows the impact of papers produced by Walter Wahli. 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 Walter Wahli. The network helps show where Walter Wahli may publish in the future.
Co-authors
The 25 scholars most cited alongside Walter Wahli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 369 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Peroxisome Proliferator-Activated Receptors: Nuclear Control of Metabolism* Hit paper breakdown → | 1999 | 2590 |
| 2 | Differential expression of peroxisome proliferator-activated receptors (PPARs): tissue distribution of PPAR-alpha, -beta, and -gamma in the adult rat. Hit paper breakdown → | 1996 | 1944 |
| 3 | Fatty acids and eicosanoids regulate gene expression through direct interactions with peroxisome proliferator-activated receptors α and γ Hit paper breakdown → | 1997 | 1899 |
| 4 | Roles of PPARs in health and disease Hit paper breakdown → | 2000 | 1690 |
| 5 | Peroxisome proliferator–activated receptor α mediates the adaptive response to fasting Hit paper breakdown → | 1999 | 1430 |
| 6 | Control of the peroxisomal β-oxidation pathway by a novel family of nuclear hormone receptors Hit paper breakdown → | 1992 | 1203 |
| 7 | The PPARα–leukotriene B4 pathway to inflammation control Hit paper breakdown → | 1996 | 1192 |
| 8 | Fatty Acids, Eicosanoids, and Hypolipidemic Agents Identified as Ligands of Peroxisome Proliferator-Activated Receptors by Coactivator-Dependent Receptor Ligand Assay Hit paper breakdown → | 1997 | 1050 |
| 9 | International Union of Pharmacology. LXI. Peroxisome Proliferator-Activated Receptors Hit paper breakdown → | 2006 | 847 |
| 10 | Fatty acids and retinoids control lipid metabolism through activation of peroxisome proliferator-activated receptor-retinoid X receptor heterodimers. Hit paper breakdown → | 1993 | 838 |
| 11 | Transcriptional Regulation of Metabolism Hit paper breakdown → | 2006 | 719 |
| 12 | 2006 | 662 | |
| 13 | 1996 | 629 | |
| 14 | Liver PPARα is crucial for whole-body fatty acid homeostasis and is protective against NAFLD Hit paper breakdown → | 2016 | 617 |
| 15 | PPARs at the crossroads of lipid signaling and inflammation Hit paper breakdown → | 2012 | 572 |
| 16 | 2004 | 498 | |
| 17 | 2000 | 497 | |
| 18 | The gut microbiota influences skeletal muscle mass and function in mice Hit paper breakdown → | 2019 | 463 |
| 19 | 2005 | 451 | |
| 20 | 2000 | 432 |
About Walter Wahli
Walter Wahli is a scholar working on Molecular Biology, Physiology, Genetics, Cancer Research and Biochemistry, having authored 369 papers that have together received 47.7k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (179 papers), Adipose Tissue and Metabolism (91 papers), Metabolism, Diabetes, and Cancer (47 papers), Estrogen and related hormone effects (44 papers), Liver Disease Diagnosis and Treatment (32 papers), Retinoids in leukemia and cellular processes (28 papers), Adipokines, Inflammation, and Metabolic Diseases (25 papers) and Reproductive biology and impacts on aquatic species (24 papers). The work is most often cited by research in Biochemistry (4.0k citations), Physiology (12.0k citations), Molecular Biology (30.2k citations), Cancer Research (5.2k citations) and Physiology (1.5k citations). Walter Wahli has collaborated with scholars based in Switzerland, France and Singapore. Frequent co-authors include Béatrice Desvergne, Liliane Michalik, Olivier Braissant, Sander Kersten, Frank J. Gonzalez, Nguan Soon Tan, Pascal Escher, Grigorios D. Krey, Jeffrey M. Peters and H. J. Keller. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, The EMBO Journal, Molecular Endocrinology and Proceedings of the National Academy of Sciences.
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.