Berit Genz
Impact in
- Hepatology top 10%
- Liver physiology and pathology
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Hepatology 10
- Liver physiology and pathology 9
- Surgery 9
- Tissue Engineering and Regenerative Medicine 3
- Pancreatitis Pathology and Treatment 2
- Co-authors
- Brigitte Vollmar (13 shared papers)Kerstin Abshagen (8 shared papers)Grant A. Ramm (5 shared papers)Diego A. Calvopina (2 shared papers)Richard Skoien (1 shared paper)Louise Marquart (1 shared paper)Dietmar Zechner (2 shared papers)Rainer Bader (2 shared papers)
- Journals
- Scientific Reports (3 papers)Experimental Biology and Medicine (3 papers)PLoS ONE (3 papers)Journal of Biomedical Materials Research Part B Applied Biomaterials (1 paper)Disease Models & Mechanisms (1 paper)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Berit Genz
25 papers receiving 308 citations
Peers
Comparison fields: 5 of 66
- Hepatology 66
- Cancer Research 56
- Epidemiology 76
- Cellular and Molecular Neuroscience 38
- Cell Biology 33
Countries citing papers authored by Berit Genz
This map shows the geographic impact of Berit Genz'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 Berit Genz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Berit Genz more than expected).
Fields of papers citing papers by Berit Genz
This network shows the impact of papers produced by Berit Genz. 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 Berit Genz. The network helps show where Berit Genz may publish in the future.
Co-authors
The 25 scholars most cited alongside Berit Genz, 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 | 2014 | 43 | |
| 2 | 2019 | 41 | |
| 3 | 2014 | 31 | |
| 4 | 2013 | 28 | |
| 5 | 2019 | 25 | |
| 6 | 2016 | 19 | |
| 7 | 2015 | 17 | |
| 8 | 2018 | 16 | |
| 9 | 2017 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2019 | 9 | |
| 12 | 2022 | 8 | |
| 13 | Chimeric rabies viruses for trans-species comparison of lyssavirus glycoprotein ectodomain functions in virus replication and pathogenesis. | 2012 | 7 |
| 14 | 2013 | 7 | |
| 15 | 2014 | 6 | |
| 16 | 2014 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2017 | 3 | |
| 20 | 2023 | 3 |
About Berit Genz
Berit Genz is a scholar working on Hepatology, Surgery, Epidemiology, Molecular Biology and Infectious Diseases, having authored 25 papers that have together received 311 indexed citations. Recurring topics across this work include Liver physiology and pathology (9 papers), Liver Disease Diagnosis and Treatment (7 papers), Tissue Engineering and Regenerative Medicine (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Pancreatitis Pathology and Treatment (2 papers), Animal Virus Infections Studies (2 papers) and Aquaculture disease management and microbiota (2 papers). The work is most often cited by research in Hepatology (66 citations), Cancer Research (56 citations), Epidemiology (76 citations), Cellular and Molecular Neuroscience (38 citations) and Cell Biology (33 citations). Berit Genz has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Brigitte Vollmar, Kerstin Abshagen, Grant A. Ramm, Diego A. Calvopina, Richard Skoien, Louise Marquart, Dietmar Zechner, Rainer Bader, Ute Schaeper and Anika Jonitz‐Heincke. Their work appears in journals such as Scientific Reports, Experimental Biology and Medicine, PLoS ONE, Journal of Biomedical Materials Research Part B Applied Biomaterials and Disease Models & Mechanisms.
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.