T Maass
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Hepatocellular Carcinoma Treatment and Prognosis
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- Cancer-related molecular mechanisms research
Papers in
-
- Gene expression and cancer classification 4
- Bioinformatics and Genomic Networks 3
- TGF-β signaling in diseases 3
- FOXO transcription factor regulation 2
- Cancer-related gene regulation 2
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- Liver Disease Diagnosis and Treatment 5
- Co-authors
- Andreas Teufel (22 shared papers)Peter R. Galle (21 shared papers)M Krupp (16 shared papers)Frank Staib (10 shared papers)Timo Itzel (6 shared papers)Stephan Kanzler (5 shared papers)F Thieringer (5 shared papers)Joseph T. Opferman (1 shared paper)
- Journals
- Journal of Hepatology (5 papers)Journal of Molecular Medicine (2 papers)Gene (2 papers)Bioinformatics (1 paper)Gastroenterology (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
T Maass
25 papers receiving 734 citations
Peers
Comparison fields: 5 of 74
- Hepatology 158
- Cancer Research 102
- Epidemiology 198
- Cell Biology 89
- Molecular Biology 337
Countries citing papers authored by T Maass
This map shows the geographic impact of T Maass'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 T Maass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Maass more than expected).
Fields of papers citing papers by T Maass
This network shows the impact of papers produced by T Maass. 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 T Maass. The network helps show where T Maass may publish in the future.
Co-authors
The 25 scholars most cited alongside T Maass, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 160 | |
| 2 | 2008 | 131 | |
| 3 | 2010 | 61 | |
| 4 | 2014 | 52 | |
| 5 | 2008 | 44 | |
| 6 | 2007 | 42 | |
| 7 | 2012 | 30 | |
| 8 | 2010 | 30 | |
| 9 | 2011 | 28 | |
| 10 | 2011 | 23 | |
| 11 | 2009 | 20 | |
| 12 | 2017 | 19 | |
| 13 | 2010 | 16 | |
| 14 | 2012 | 16 | |
| 15 | 2013 | 14 | |
| 16 | 2008 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2010 | 12 | |
| 19 | 2012 | 9 | |
| 20 | 2015 | 7 |
About T Maass
T Maass is a scholar working on Molecular Biology, Epidemiology, Hepatology, Surgery and Cancer Research, having authored 25 papers that have together received 747 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Gene expression and cancer classification (4 papers), Liver physiology and pathology (3 papers), Bioinformatics and Genomic Networks (3 papers), TGF-β signaling in diseases (3 papers), FOXO transcription factor regulation (2 papers), Ferroptosis and cancer prognosis (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Hepatology (158 citations), Cancer Research (102 citations), Epidemiology (198 citations), Cell Biology (89 citations) and Molecular Biology (337 citations). T Maass has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Andreas Teufel, Peter R. Galle, M Krupp, Frank Staib, Timo Itzel, Stephan Kanzler, F Thieringer, Joseph T. Opferman, Marcus Schuchmann and Binje Vick. Their work appears in journals such as Journal of Hepatology, Journal of Molecular Medicine, Gene, Bioinformatics 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.