Daniela M. Faust
Impact in
- Parasitology top 5%
- Parasitic Infections and Diagnostics
- Hepatology top 10%
- Liver physiology and pathology
Papers in
-
- Receptor Mechanisms and Signaling 2
-
- Amoebic Infections and Treatments 7
- Co-authors
- Nancy Guillén (7 shared papers)Mary C. Weiss (12 shared papers)Ekkehard K.F. Bautz (2 shared papers)Bernd Dworniczak (1 shared paper)Raymond Hellio (2 shared papers)Marco Pontoglio (1 shared paper)Antonia Doyen (1 shared paper)Moshé Yaniv (1 shared paper)
- Journals
- PLoS neglected tropical diseases (2 papers)Molecular and Cellular Biology (2 papers)Differentiation (1 paper)Gene (1 paper)Stem Cells (1 paper)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Daniela M. Faust
23 papers receiving 678 citations
Peers
Comparison fields: 5 of 76
- Parasitology 119
- Hepatology 81
- Infectious Diseases 160
- Molecular Biology 354
- Surgery 199
Countries citing papers authored by Daniela M. Faust
This map shows the geographic impact of Daniela M. Faust'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 Daniela M. Faust with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela M. Faust more than expected).
Fields of papers citing papers by Daniela M. Faust
This network shows the impact of papers produced by Daniela M. Faust. 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 Daniela M. Faust. The network helps show where Daniela M. Faust may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela M. Faust, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 107 | |
| 2 | 1997 | 65 | |
| 3 | 2012 | 64 | |
| 4 | 2006 | 60 | |
| 5 | 1996 | 46 | |
| 6 | 1996 | 38 | |
| 7 | 2011 | 37 | |
| 8 | 2011 | 32 | |
| 9 | 2014 | 31 | |
| 10 | 2008 | 27 | |
| 11 | 2001 | 24 | |
| 12 | 2011 | 21 | |
| 13 | 2001 | 20 | |
| 14 | 2006 | 19 | |
| 15 | 2016 | 16 | |
| 16 | 2000 | 16 | |
| 17 | Constancy of expression of the protein kinase A regulatory subunit R1 alpha in hepatoma cell lines of different phenotypes. | 1994 | 14 |
| 18 | 1986 | 13 | |
| 19 | 2001 | 11 | |
| 20 | 2011 | 9 |
About Daniela M. Faust
Daniela M. Faust is a scholar working on Molecular Biology, Infectious Diseases, Parasitology, Surgery and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 687 indexed citations. Recurring topics across this work include Amoebic Infections and Treatments (7 papers), Parasitic Infections and Diagnostics (6 papers), Metabolism and Genetic Disorders (3 papers), Pancreatic function and diabetes (2 papers), Liver physiology and pathology (2 papers), Adipose Tissue and Metabolism (2 papers), Receptor Mechanisms and Signaling (2 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Parasitology (119 citations), Hepatology (81 citations), Infectious Diseases (160 citations), Molecular Biology (354 citations) and Surgery (199 citations). Daniela M. Faust has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Nancy Guillén, Mary C. Weiss, Ekkehard K.F. Bautz, Bernd Dworniczak, Raymond Hellio, Marco Pontoglio, Antonia Doyen, Moshé Yaniv, Sylvie Syan and Debora B. Petropolis. Their work appears in journals such as PLoS neglected tropical diseases, Molecular and Cellular Biology, Differentiation, Gene and Stem Cells.
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.