Ruth Broering
Impact in
- Hepatology top 0.5%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Liver physiology and pathology
- Epidemiology top 1%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
- Epidemiology 35
- Hepatitis B Virus Studies 28
- Liver Disease Diagnosis and Treatment 13
- Hepatology 33
- Hepatitis C virus research 22
- Hepatitis Viruses Studies and Epidemiology 6
- Liver physiology and pathology 5
- Co-authors
- Mengji Lu (38 shared papers)JF Schlaak (28 shared papers)Guido Gerken (23 shared papers)Martin Trippler (18 shared papers)Zhongji Meng (6 shared papers)Ulf Dittmer (11 shared papers)Jun Wu (6 shared papers)Michael Roggendorf (6 shared papers)
- Journals
- Journal of Hepatology (6 papers)Hepatology (5 papers)Journal of Viral Hepatitis (4 papers)Frontiers in Immunology (3 papers)Liver International (3 papers)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Ruth Broering
60 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 86
- Hepatology 976
- Epidemiology 1.3k
- Immunology 680
- Infectious Diseases 237
- Cancer Research 139
Countries citing papers authored by Ruth Broering
This map shows the geographic impact of Ruth Broering'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 Ruth Broering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruth Broering more than expected).
Fields of papers citing papers by Ruth Broering
This network shows the impact of papers produced by Ruth Broering. 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 Ruth Broering. The network helps show where Ruth Broering may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruth Broering, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 280 | |
| 2 | 2007 | 234 | |
| 3 | 2009 | 181 | |
| 4 | 2021 | 123 | |
| 5 | 2008 | 84 | |
| 6 | 2010 | 82 | |
| 7 | 2015 | 75 | |
| 8 | 2009 | 69 | |
| 9 | 2011 | 69 | |
| 10 | 2015 | 63 | |
| 11 | 2014 | 62 | |
| 12 | 2012 | 61 | |
| 13 | 2013 | 50 | |
| 14 | 2019 | 50 | |
| 15 | 2018 | 40 | |
| 16 | 2020 | 39 | |
| 17 | 2013 | 38 | |
| 18 | 2014 | 35 | |
| 19 | 2020 | 35 | |
| 20 | 2020 | 35 |
About Ruth Broering
Ruth Broering is a scholar working on Epidemiology, Hepatology, Immunology, Molecular Biology and Cell Biology, having authored 61 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (28 papers), Hepatitis C virus research (22 papers), Liver Disease Diagnosis and Treatment (13 papers), Immune Response and Inflammation (7 papers), Hepatitis Viruses Studies and Epidemiology (6 papers), Liver physiology and pathology (5 papers), interferon and immune responses (5 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Hepatology (976 citations), Epidemiology (1.3k citations), Immunology (680 citations), Infectious Diseases (237 citations) and Cancer Research (139 citations). Ruth Broering has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Mengji Lu, JF Schlaak, Guido Gerken, Martin Trippler, Zhongji Meng, Ulf Dittmer, Jun Wu, Michael Roggendorf, Dongliang Yang and Min Jiang. Their work appears in journals such as Journal of Hepatology, Hepatology, Journal of Viral Hepatitis, Frontiers in Immunology and Liver International.
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.