Julia Freimuth
Impact in
- Hepatology top 10%
- Liver physiology and pathology
Papers in
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- Liver Disease Diagnosis and Treatment 5
-
- TGF-β signaling in diseases 2
- Cell death mechanisms and regulation 2
- Co-authors
- Rosemary J. Akhurst (3 shared papers)Erin C. Connolly (1 shared paper)Christian Trautwein (6 shared papers)Christian Liedtke (6 shared papers)Frank Tacke (3 shared papers)Dieter Riethmacher (3 shared papers)Francisco Javier Cubero (2 shared papers)Naiara Beraza (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)PLoS ONE (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)The Journal of Experimental Medicine (1 paper)International Journal of Biological Sciences (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Julia Freimuth
10 papers receiving 610 citations
Peers
Comparison fields: 5 of 76
- Hepatology 89
- Cancer Research 110
- Oncology 190
- Immunology 122
- Molecular Biology 305
Countries citing papers authored by Julia Freimuth
This map shows the geographic impact of Julia Freimuth'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 Julia Freimuth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Freimuth more than expected).
Fields of papers citing papers by Julia Freimuth
This network shows the impact of papers produced by Julia Freimuth. 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 Julia Freimuth. The network helps show where Julia Freimuth may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Freimuth, 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 | 2012 | 277 | |
| 2 | 2011 | 89 | |
| 3 | 2009 | 74 | |
| 4 | 2013 | 68 | |
| 5 | 2014 | 36 | |
| 6 | 2013 | 24 | |
| 7 | 2010 | 17 | |
| 8 | 2015 | 12 | |
| 9 | 2012 | 11 | |
| 10 | 2013 | 5 |
About Julia Freimuth
Julia Freimuth is a scholar working on Epidemiology, Molecular Biology, Hepatology, Cancer Research and Immunology, having authored 10 papers that have together received 613 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Liver physiology and pathology (3 papers), TGF-β signaling in diseases (2 papers), Cell death mechanisms and regulation (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), IL-33, ST2, and ILC Pathways (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Hepatology (89 citations), Cancer Research (110 citations), Oncology (190 citations), Immunology (122 citations) and Molecular Biology (305 citations). Julia Freimuth has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Rosemary J. Akhurst, Erin C. Connolly, Christian Trautwein, Christian Liedtke, Frank Tacke, Dieter Riethmacher, Francisco Javier Cubero, Naiara Beraza, Yulia A. Nevzorova and Nikolaus Gaßler. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, The Journal of Experimental Medicine and International Journal of Biological 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.