Petra Neddermann
Impact in
- Hepatology top 0.5%
- Hepatitis C virus research
- Virology top 5%
Papers in
- Hepatology 19
- Hepatitis C virus research 19
-
- DNA Repair Mechanisms 3
- Protein Degradation and Inhibitors 3
- Protein Structure and Dynamics 3
- Co-authors
- Raffaele De Francesco (23 shared papers)Josef Jiricny (4 shared papers)Paola Gallinari (6 shared papers)Christian Steinkühler (5 shared papers)Philip Jones (3 shared papers)Sonia Sambucini (5 shared papers)Michael G. Katze (4 shared papers)Matthew J. Bottomley (2 shared papers)
- Journals
- Journal of Virology (5 papers)Journal of Biological Chemistry (5 papers)Proceedings of the National Academy of Sciences (3 papers)PLoS Pathogens (2 papers)Gastroenterology (2 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Petra Neddermann
36 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 92
- Hepatology 1000
- Virology 172
- Molecular Biology 1.8k
- Epidemiology 746
- Immunology 475
Countries citing papers authored by Petra Neddermann
This map shows the geographic impact of Petra Neddermann'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 Petra Neddermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petra Neddermann more than expected).
Fields of papers citing papers by Petra Neddermann
This network shows the impact of papers produced by Petra Neddermann. 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 Petra Neddermann. The network helps show where Petra Neddermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Petra Neddermann, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 449 | |
| 2 | 2008 | 264 | |
| 3 | 2013 | 261 | |
| 4 | 1996 | 215 | |
| 5 | 1993 | 187 | |
| 6 | 1999 | 185 | |
| 7 | 2002 | 144 | |
| 8 | 2014 | 144 | |
| 9 | 1994 | 130 | |
| 10 | 2004 | 109 | |
| 11 | 2012 | 108 | |
| 12 | 1999 | 107 | |
| 13 | 2014 | 84 | |
| 14 | 2008 | 81 | |
| 15 | 2006 | 70 | |
| 16 | 2003 | 63 | |
| 17 | 2006 | 60 | |
| 18 | 2000 | 59 | |
| 19 | 1988 | 54 | |
| 20 | 2004 | 51 |
About Petra Neddermann
Petra Neddermann is a scholar working on Hepatology, Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 36 papers that have together received 3.2k indexed citations. Recurring topics across this work include Hepatitis C virus research (19 papers), Hepatitis B Virus Studies (11 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Liver Disease Diagnosis and Treatment (5 papers), DNA Repair Mechanisms (3 papers), Protein Degradation and Inhibitors (3 papers), T-cell and B-cell Immunology (3 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Hepatology (1000 citations), Virology (172 citations), Molecular Biology (1.8k citations), Epidemiology (746 citations) and Immunology (475 citations). Petra Neddermann has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Raffaele De Francesco, Josef Jiricny, Paola Gallinari, Christian Steinkühler, Philip Jones, Sonia Sambucini, Michael G. Katze, Matthew J. Bottomley, Andrea Carfı́ and Paola Lo Surdo. Their work appears in journals such as Journal of Virology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, PLoS Pathogens 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.