Gregor Ebert
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- Immunology 11
- interferon and immune responses 7
- Immunotherapy and Immune Responses 4
- 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)Martin Krönke (1 shared paper)John Silke (4 shared papers)
- Journals
- Nature Communications (4 papers)Cell Death and Disease (2 papers)ACS Applied Materials & Interfaces (2 papers)Proceedings of the National Academy of Sciences (2 papers)Gastroenterology (2 papers)
- Partner nations
- AustraliaGermanyUnited States
In The Last Decade
Gregor Ebert
38 papers receiving 1.5k citations
Gregor Ebert's Hit Papers
Peers
Comparison fields: 5 of 95
- Hepatology 202
- Infectious Diseases 425
- Immunology 362
- Epidemiology 396
- Virology 51
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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mechanism and inhibition of the papain‐like protease, PLpro, of SARS‐CoV‐2 Hit paper breakdown → | 2020 | 395 |
| 2 | 2008 | 155 | |
| 3 | 2020 | 119 | |
| 4 | 2015 | 106 | |
| 5 | 2015 | 88 | |
| 6 | 2021 | 69 | |
| 7 | 2017 | 65 | |
| 8 | 2011 | 62 | |
| 9 | 2016 | 51 | |
| 10 | 2024 | 35 | |
| 11 | 2024 | 33 | |
| 12 | 2012 | 32 | |
| 13 | 2016 | 30 | |
| 14 | 2020 | 24 | |
| 15 | 2017 | 24 | |
| 16 | 2021 | 22 | |
| 17 | 2022 | 19 | |
| 18 | 2025 | 18 | |
| 19 | 2020 | 15 | |
| 20 | 2023 | 13 |
About Gregor Ebert
Gregor Ebert is a scholar working on Infectious Diseases, Immunology, Epidemiology, Hepatology and Molecular Biology, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (13 papers), interferon and immune responses (7 papers), Hepatitis C virus research (6 papers), Cell death mechanisms and regulation (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Immunotherapy and Immune Responses (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Hepatology (202 citations), Infectious Diseases (425 citations), Immunology (362 citations), Epidemiology (396 citations) and Virology (51 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, Martin Krönke, John Silke, Samar Ojaimi and Andreas Schulze. Their work appears in journals such as Nature Communications, Cell Death and Disease, ACS Applied Materials & Interfaces, Proceedings of the National Academy of Sciences 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.