Daniel Fau
Impact in
- Pharmacology top 0.5%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
Papers in
-
- Sulfur Compounds in Biology 6
- Amino Acid Enzymes and Metabolism 4
- Co-authors
- Dominique Pessayre (17 shared papers)Alain Berson (13 shared papers)Gérard Feldmann (9 shared papers)D. Haouzi (8 shared papers)Bernard Fromenty (7 shared papers)Philippe Lettéron (5 shared papers)C Fisch (4 shared papers)Alain Moreau (4 shared papers)
- Journals
- Journal of Pharmacology and Experimental Therapeutics (6 papers)Hepatology (4 papers)Journal of Hepatology (3 papers)Journal of Nutrition (3 papers)Gastroenterology (3 papers)
- Partner nations
- FranceUnited StatesRussia
In The Last Decade
Daniel Fau
31 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Pharmacology 463
- Clinical Biochemistry 115
- Complementary and alternative medicine 120
- Biochemistry 82
- Hepatology 76
Countries citing papers authored by Daniel Fau
This map shows the geographic impact of Daniel Fau'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 Daniel Fau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Fau more than expected).
Fields of papers citing papers by Daniel Fau
This network shows the impact of papers produced by Daniel Fau. 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 Daniel Fau. The network helps show where Daniel Fau may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Fau, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 112 | |
| 2 | 1994 | 101 | |
| 3 | 2001 | 95 | |
| 4 | 1996 | 89 | |
| 5 | 1997 | 88 | |
| 6 | 1994 | 85 | |
| 7 | 2000 | 84 | |
| 8 | 2001 | 75 | |
| 9 | 1992 | 73 | |
| 10 | 1996 | 60 | |
| 11 | 2001 | 57 | |
| 12 | 1993 | 55 | |
| 13 | 2002 | 48 | |
| 14 | 2006 | 41 | |
| 15 | 1988 | 33 | |
| 16 | 1999 | 32 | |
| 17 | 1991 | 31 | |
| 18 | 1994 | 31 | |
| 19 | 1991 | 24 | |
| 20 | 1992 | 14 |
About Daniel Fau
Daniel Fau is a scholar working on Physiology, Biochemistry, Molecular Biology, Cell Biology and Clinical Biochemistry, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (8 papers), Metabolism and Genetic Disorders (7 papers), Drug-Induced Hepatotoxicity and Protection (6 papers), Sulfur Compounds in Biology (6 papers), Amino Acid Enzymes and Metabolism (4 papers), Mitochondrial Function and Pathology (4 papers), Cell death mechanisms and regulation (3 papers) and Aldose Reductase and Taurine (3 papers). The work is most often cited by research in Pharmacology (463 citations), Clinical Biochemistry (115 citations), Complementary and alternative medicine (120 citations), Biochemistry (82 citations) and Hepatology (76 citations). Daniel Fau has collaborated with scholars based in France, United States and Russia. Frequent co-authors include Dominique Pessayre, Alain Berson, Gérard Feldmann, D. Haouzi, Bernard Fromenty, Philippe Lettéron, C Fisch, Alain Moreau, Daniel Eugène and Véronique Descatoire. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Hepatology, Journal of Hepatology, Journal of Nutrition and Gastroenterology.
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.