Ursula Huber-Schönauer
- Hepatology top 5%
- Liver Diseases and Immunity 4
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- Diet, Metabolism, and Disease 6
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 13
- Pathology and Forensic Medicine top 10%
- Alcohol Consumption and Health Effects 6
- Vitamin D Research Studies 4
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- Colorectal Cancer Screening and Detection 4
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- Gastric Cancer Management and Outcomes 4
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- Metabolomics and Mass Spectrometry Studies 3
- Co-authors
- Christian DatzElmar AignerDavid NiederseerBernhard PaulweberSebastian K. EderAndreas StadlmayrAlexandra FeldmanFelix Stickel
- Partner nations
- AustriaSwitzerlandGermany
In The Last Decade
Ursula Huber-Schönauer
28 papers receiving 686 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Hepatology 187
- Endocrinology, Diabetes and Metabolism 257
- Epidemiology 502
- Pathology and Forensic Medicine 202
- Physiology 90
Countries citing papers authored by Ursula Huber-Schönauer
This map shows the geographic impact of Ursula Huber-Schönauer'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 Ursula Huber-Schönauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ursula Huber-Schönauer more than expected).
Fields of papers citing papers by Ursula Huber-Schönauer
This network shows the impact of papers produced by Ursula Huber-Schönauer. 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 Ursula Huber-Schönauer. The network helps show where Ursula Huber-Schönauer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ursula Huber-Schönauer, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | Ethyl glucuronide in hair detects a high rate of harmful alcohol consumption in presumed non-alcoholic fatty liver diseasebreakdown → | 2022 | 111 |
| 6 | 2021 | 15 | |
| 7 | 2020 | 22 | |
| 8 | 2020 | 15 | |
| 9 | 2019 | 0 | |
| 10 | 2019 | 2 | |
| 11 | 2019 | 1 | |
| 12 | 2018 | 18 | |
| 13 | 2018 | 9 | |
| 14 | 2017 | 16 | |
| 15 | 2016 | 183 | |
| 16 | 2016 | 32 | |
| 17 | 2016 | 30 | |
| 18 | 2015 | 6 | |
| 19 | 2015 | 10 | |
| 20 | 2014 | 32 |
About Ursula Huber-Schönauer
Ursula Huber-Schönauer is a scholar working on Pathology and Forensic Medicine, Hepatology and Epidemiology, having authored 30 papers that have together received 697 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Diet, Metabolism, and Disease (6 papers), Alcohol Consumption and Health Effects (6 papers), Vitamin D Research Studies (4 papers), Colorectal Cancer Screening and Detection (4 papers), Liver Diseases and Immunity (4 papers), Gastric Cancer Management and Outcomes (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Hepatology (187 citations), Endocrinology, Diabetes and Metabolism (257 citations) and Epidemiology (502 citations). Ursula Huber-Schönauer has collaborated with scholars based in Austria, Switzerland and Germany. Frequent co-authors include Christian Datz, Elmar Aigner, David Niederseer, Bernhard Paulweber, Sebastian K. Eder, Andreas Stadlmayr, Alexandra Feldman, Felix Stickel, Wolfgang Patsch and Thomas K. Felder. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.
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.