Gregor Ebert
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Epidemiology top 10%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
- Epidemiology 13
- Hepatitis B Virus Studies 13
- Liver Disease Diagnosis and Treatment 4
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- Cell death mechanisms and regulation 2
- Co-authors
- Marc Pellegrini (15 shared papers)Joseph Torresi (5 shared papers)Ulrike Protzer (3 shared papers)Nikola Baschuk (3 shared papers)Simon Preston (6 shared papers)Michael D. Stutz (5 shared papers)Samar Ojaimi (3 shared papers)Cody C. Allison (4 shared papers)
- Journals
- Gastroenterology (2 papers)Virology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cell Death Discovery (1 paper)Clinical & Translational Immunology (1 paper)
- Partner nations
- AustraliaGermanyUnited States
In The Last Decade
Gregor Ebert
24 papers receiving 746 citations
Peers
Comparison fields: 5 of 78
- Hepatology 188
- Epidemiology 317
- Immunology 177
- Infectious Diseases 145
- Business and International Management 12
Countries citing papers authored by Gregor Ebert
This map shows the geographic impact of Gregor Ebert'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 Gregor Ebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregor Ebert more than expected).
Fields of papers citing papers by Gregor Ebert
This network shows the impact of papers produced by Gregor Ebert. 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 Gregor Ebert. The network helps show where Gregor Ebert may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregor Ebert, 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 | 2008 | 139 | |
| 2 | 2015 | 99 | |
| 3 | 2015 | 79 | |
| 4 | 2021 | 65 | |
| 5 | 2017 | 62 | |
| 6 | 2011 | 60 | |
| 7 | 2016 | 49 | |
| 8 | 2012 | 34 | |
| 9 | 2016 | 29 | |
| 10 | 2017 | 23 | |
| 11 | 2020 | 19 | |
| 12 | 2021 | 17 | |
| 13 | 2022 | 17 | |
| 14 | 2020 | 15 | |
| 15 | 2018 | 12 | |
| 16 | 2021 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2016 | 6 |
About Gregor Ebert
Gregor Ebert is a scholar working on Epidemiology, Molecular Biology, Immunology, Hepatology and Infectious Diseases, having authored 25 papers that have together received 766 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (13 papers), Hepatitis C virus research (6 papers), Liver Disease Diagnosis and Treatment (4 papers), interferon and immune responses (4 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (2 papers), Cell death mechanisms and regulation (2 papers) and Malaria Research and Control (2 papers). The work is most often cited by research in Hepatology (188 citations), Epidemiology (317 citations), Immunology (177 citations), Infectious Diseases (145 citations) and Business and International Management (12 citations). Gregor Ebert has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Marc Pellegrini, Joseph Torresi, Ulrike Protzer, Nikola Baschuk, Simon Preston, Michael D. Stutz, Samar Ojaimi, Cody C. Allison, Andreas Schulze and Felix Bohne. Their work appears in journals such as Gastroenterology, Virology, Proceedings of the National Academy of Sciences, Cell Death Discovery and Clinical & Translational Immunology.
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.