Gisa Gerold
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Infectious Diseases top 5%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
Papers in
- Hepatology 19
- Hepatitis C virus research 19
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- Viral Infections and Vectors 9
- Viral Infections and Outbreaks Research 7
- Co-authors
- Thomas Pietschmann (14 shared papers)Janina Bruening (7 shared papers)Arturo Zychlinsky (3 shared papers)Charles M. Rice (5 shared papers)W. Ian Lipkin (1 shared paper)Amit Kapoor (1 shared paper)José A. Luján Henríquez (1 shared paper)David L. Hirschberg (1 shared paper)
- Journals
- Journal of Virology (4 papers)mBio (3 papers)PLoS Pathogens (3 papers)Cells (3 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- GermanySwedenUnited States
In The Last Decade
Gisa Gerold
51 papers receiving 1.1k citations
Gisa Gerold's Hit Papers
Peers
Comparison fields: 5 of 83
- Hepatology 327
- Infectious Diseases 281
- Virology 51
- Immunology 228
- Epidemiology 332
Countries citing papers authored by Gisa Gerold
This map shows the geographic impact of Gisa Gerold'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 Gisa Gerold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gisa Gerold more than expected).
Fields of papers citing papers by Gisa Gerold
This network shows the impact of papers produced by Gisa Gerold. 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 Gisa Gerold. The network helps show where Gisa Gerold may publish in the future.
Co-authors
The 25 scholars most cited alongside Gisa Gerold, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Characterization of a canine homolog of hepatitis C virus Hit paper breakdown → | 2011 | 205 |
| 2 | 2008 | 75 | |
| 3 | 2007 | 63 | |
| 4 | 2017 | 55 | |
| 5 | 2015 | 49 | |
| 6 | 2017 | 48 | |
| 7 | 2019 | 44 | |
| 8 | 2018 | 44 | |
| 9 | 2013 | 41 | |
| 10 | 2021 | 37 | |
| 11 | 2021 | 27 | |
| 12 | 2018 | 27 | |
| 13 | 2017 | 26 | |
| 14 | 2016 | 26 | |
| 15 | 2015 | 22 | |
| 16 | 2015 | 21 | |
| 17 | 2005 | 21 | |
| 18 | 2019 | 20 | |
| 19 | 2018 | 20 | |
| 20 | 2020 | 19 |
About Gisa Gerold
Gisa Gerold is a scholar working on Hepatology, Infectious Diseases, Immunology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (19 papers), Viral Infections and Vectors (9 papers), Mosquito-borne diseases and control (9 papers), Hepatitis B Virus Studies (7 papers), interferon and immune responses (7 papers), Viral Infections and Outbreaks Research (7 papers), Virus-based gene therapy research (7 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Hepatology (327 citations), Infectious Diseases (281 citations), Virology (51 citations), Immunology (228 citations) and Epidemiology (332 citations). Gisa Gerold has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Thomas Pietschmann, Janina Bruening, Arturo Zychlinsky, Charles M. Rice, W. Ian Lipkin, Amit Kapoor, José A. Luján Henríquez, David L. Hirschberg, Cadhla Firth and Natasha Qaisar. Their work appears in journals such as Journal of Virology, mBio, PLoS Pathogens, Cells and International Journal of Molecular 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.