Hans Netter
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Epidemiology top 2%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
- Epidemiology 41
- Hepatitis B Virus Studies 36
- Liver Disease Diagnosis and Treatment 6
- Hepatology 30
- Hepatitis C virus research 22
- Hepatitis Viruses Studies and Epidemiology 12
- Co-authors
- Hans H. Guldner (7 shared papers)Carin Szostecki (6 shared papers)Hans Will (12 shared papers)John M. Taylor (8 shared papers)Helene Will (1 shared paper)Lilly Yuen (4 shared papers)Margaret Littlejohn (5 shared papers)Eric J. Gowans (5 shared papers)
- Journals
- Journal of Virology (12 papers)Die Naturwissenschaften (8 papers)Vaccine (4 papers)Virology (3 papers)Viruses (3 papers)
- Partner nations
- AustraliaGermanyUnited States
In The Last Decade
Hans Netter
87 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 120
- Hepatology 703
- Epidemiology 988
- Virology 94
- Infectious Diseases 342
- Immunology 337
Countries citing papers authored by Hans Netter
This map shows the geographic impact of Hans Netter'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 Hans Netter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Netter more than expected).
Fields of papers citing papers by Hans Netter
This network shows the impact of papers produced by Hans Netter. 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 Hans Netter. The network helps show where Hans Netter may publish in the future.
Co-authors
The 25 scholars most cited alongside Hans Netter, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 229 | |
| 2 | 1959 | 160 | |
| 3 | 2020 | 112 | |
| 4 | 2020 | 82 | |
| 5 | 1993 | 79 | |
| 6 | 1988 | 70 | |
| 7 | 2001 | 65 | |
| 8 | 2018 | 63 | |
| 9 | 1999 | 57 | |
| 10 | 1990 | 51 | |
| 11 | 1992 | 48 | |
| 12 | 2007 | 47 | |
| 13 | 2006 | 42 | |
| 14 | 2018 | 40 | |
| 15 | 2001 | 39 | |
| 16 | 2001 | 39 | |
| 17 | 1993 | 38 | |
| 18 | 1995 | 36 | |
| 19 | 2012 | 35 | |
| 20 | 1988 | 33 |
About Hans Netter
Hans Netter is a scholar working on Epidemiology, Hepatology, Molecular Biology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging, having authored 89 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (36 papers), Hepatitis C virus research (22 papers), Hepatitis Viruses Studies and Epidemiology (12 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Viral gastroenteritis research and epidemiology (9 papers), Immunotherapy and Immune Responses (8 papers), Animal Virus Infections Studies (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Hepatology (703 citations), Epidemiology (988 citations), Virology (94 citations), Infectious Diseases (342 citations) and Immunology (337 citations). Hans Netter has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Hans H. Guldner, Carin Szostecki, Hans Will, John M. Taylor, Helene Will, Lilly Yuen, Margaret Littlejohn, Eric J. Gowans, Stephen Locarnini and Beena Jeevan-Raj. Their work appears in journals such as Journal of Virology, Die Naturwissenschaften, Vaccine, Virology and Viruses.
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.