Ute Haas
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Liver Disease and Transplantation
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
Papers in
- Epidemiology 15
- Liver Disease Diagnosis and Treatment 14
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- Connective Tissue Growth Factor Research 6
- TGF-β signaling in diseases 3
- Co-authors
- Ralf Weiskirchen (19 shared papers)Erawan Borkham‐Kamphorst (15 shared papers)Lidia Tihaa (8 shared papers)Eddy Van de Leur (11 shared papers)Christian Liedtke (14 shared papers)Yulia A. Nevzorova (12 shared papers)Frank Tacke (9 shared papers)Christian Trautwein (10 shared papers)
- Journals
- Cellular Signalling (4 papers)Journal of Hepatology (3 papers)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (3 papers)Hepatology (3 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Ute Haas
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Hepatology 310
- Epidemiology 380
- Cancer Research 132
- Complementary and alternative medicine 72
- Pharmacology 63
Countries citing papers authored by Ute Haas
This map shows the geographic impact of Ute Haas'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 Ute Haas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute Haas more than expected).
Fields of papers citing papers by Ute Haas
This network shows the impact of papers produced by Ute Haas. 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 Ute Haas. The network helps show where Ute Haas may publish in the future.
Co-authors
The 25 scholars most cited alongside Ute Haas, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 119 | |
| 2 | 2013 | 114 | |
| 3 | 2009 | 113 | |
| 4 | 2014 | 82 | |
| 5 | 2013 | 68 | |
| 6 | 2018 | 66 | |
| 7 | 2017 | 50 | |
| 8 | 2012 | 46 | |
| 9 | 2015 | 46 | |
| 10 | 2017 | 42 | |
| 11 | 2015 | 40 | |
| 12 | 2013 | 37 | |
| 13 | 2010 | 34 | |
| 14 | 2015 | 31 | |
| 15 | 2013 | 31 | |
| 16 | 2015 | 28 | |
| 17 | 2006 | 23 | |
| 18 | 2012 | 22 | |
| 19 | 2019 | 18 | |
| 20 | 2018 | 16 |
About Ute Haas
Ute Haas is a scholar working on Epidemiology, Molecular Biology, Hepatology, Pathology and Forensic Medicine and Oncology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (14 papers), Liver physiology and pathology (11 papers), Connective Tissue Growth Factor Research (6 papers), Alcohol Consumption and Health Effects (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Cancer-related Molecular Pathways (4 papers), TGF-β signaling in diseases (3 papers) and Drug-Induced Hepatotoxicity and Protection (3 papers). The work is most often cited by research in Hepatology (310 citations), Epidemiology (380 citations), Cancer Research (132 citations), Complementary and alternative medicine (72 citations) and Pharmacology (63 citations). Ute Haas has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Ralf Weiskirchen, Erawan Borkham‐Kamphorst, Lidia Tihaa, Eddy Van de Leur, Christian Liedtke, Yulia A. Nevzorova, Frank Tacke, Christian Trautwein, Wei Hu and Francisco Javier Cubero. Their work appears in journals such as Cellular Signalling, Journal of Hepatology, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Hepatology and International Journal of Molecular 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.