Werner Schäfer
Impact in
Papers in
- Genetics 58
- Virus-based gene therapy research 53
- Epidemiology 53
- Virology and Viral Diseases 16
- Co-authors
- Gerhard Hunsmann (20 shared papers)Paul Abrams (9 shared papers)Dani P. Bolognesi (29 shared papers)H. Frank (12 shared papers)Francesco Pesce (2 shared papers)V. Moennig (18 shared papers)R. Rott (16 shared papers)Armin Schweig (26 shared papers)
- Journals
- Virology (46 papers)Neurourology and Urodynamics (15 papers)The Journal of Urology (7 papers)Tetrahedron Letters (7 papers)Zeitschrift für Naturforschung B (37 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Werner Schäfer
207 papers receiving 7.1k citations
Werner Schäfer's Hit Papers
Peers
Comparison fields: 5 of 154
- Urology 2.1k
- Virology 708
- Rheumatology 1.4k
- Animal Science and Zoology 729
- Epidemiology 1.9k
Countries citing papers authored by Werner Schäfer
This map shows the geographic impact of Werner Schäfer'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 Werner Schäfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Werner Schäfer more than expected).
Fields of papers citing papers by Werner Schäfer
This network shows the impact of papers produced by Werner Schäfer. 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 Werner Schäfer. The network helps show where Werner Schäfer may publish in the future.
Co-authors
The 25 scholars most cited alongside Werner Schäfer, 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 221 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Good urodynamic practices: Uroflowmetry, filling cystometry, and pressure‐flow studies** Hit paper breakdown → | 2002 | 1361 |
| 2 | 1990 | 265 | |
| 3 | 1991 | 199 | |
| 4 | 1978 | 180 | |
| 5 | Scoring the short form ICSmaleSF questionnaire. International Continence Society. | 2000 | 174 |
| 6 | 2002 | 170 | |
| 7 | 1957 | 158 | |
| 8 | 1985 | 157 | |
| 9 | 1972 | 154 | |
| 10 | 2014 | 128 | |
| 11 | 1974 | 110 | |
| 12 | 1974 | 106 | |
| 13 | 1960 | 106 | |
| 14 | 1998 | 100 | |
| 15 | 1975 | 96 | |
| 16 | 1972 | 95 | |
| 17 | 2000 | 91 | |
| 18 | 1983 | 89 | |
| 19 | 2003 | 87 | |
| 20 | 1960 | 82 |
About Werner Schäfer
Werner Schäfer is a scholar working on Genetics, Epidemiology, Immunology, Urology and Molecular Biology, having authored 221 papers that have together received 8.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (53 papers), Urinary Bladder and Prostate Research (38 papers), Pelvic floor disorders treatments (27 papers), Animal Virus Infections Studies (25 papers), HIV Research and Treatment (22 papers), T-cell and Retrovirus Studies (20 papers), Animal Disease Management and Epidemiology (17 papers) and Virology and Viral Diseases (16 papers). The work is most often cited by research in Urology (2.1k citations), Virology (708 citations), Rheumatology (1.4k citations), Animal Science and Zoology (729 citations) and Epidemiology (1.9k citations). Werner Schäfer has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Gerhard Hunsmann, Paul Abrams, Dani P. Bolognesi, H. Frank, Francesco Pesce, V. Moennig, R. Rott, Armin Schweig, Anders Mattiasson and Limin Liao. Their work appears in journals such as Virology, Neurourology and Urodynamics, The Journal of Urology, Tetrahedron Letters and Zeitschrift für Naturforschung B.
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.