Wolfgang Preiser
- Virology top 0.5%
- HIV Research and Treatment 51
- Infectious Diseases top 0.2%
- HIV/AIDS drug development and treatment 44
- HIV/AIDS Research and Interventions 42
- SARS-CoV-2 and COVID-19 Research 33
- COVID-19 Clinical Research Studies 17
- Modeling and Simulation top 1%
- Hepatology top 2%
- Hepatitis C virus research 18
- Environmental Chemistry top 1%
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- Hepatitis B Virus Studies 23
- Cytomegalovirus and herpesvirus research 18
- Co-authors
- Hans Wilhelm DoerrGert U. van ZylHolger F. RabenauJindřich ČinátlGabriele BauerMartin StürmerChristian DrostenShideh Pouria
- Journals
- Journal of Clinical Virology (16 papers)PLoS ONE (8 papers)Journal of Medical Virology (7 papers)
- Partner nations
- South AfricaGermanyUnited States
In The Last Decade
Wolfgang Preiser
205 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 204
- Virology 919
- Infectious Diseases 3.4k
- Modeling and Simulation 314
- Hepatology 461
- Environmental Chemistry 539
Countries citing papers authored by Wolfgang Preiser
This map shows the geographic impact of Wolfgang Preiser'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 Wolfgang Preiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wolfgang Preiser more than expected).
Fields of papers citing papers by Wolfgang Preiser
This network shows the impact of papers produced by Wolfgang Preiser. 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 Wolfgang Preiser. The network helps show where Wolfgang Preiser may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wolfgang Preiser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 0 | |
| 7 | 2022 | 35 | |
| 8 | 2021 | 31 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 42 | |
| 13 | 2015 | 13 | |
| 14 | 2012 | 4 | |
| 15 | 2009 | 9 | |
| 16 | 2008 | 74 | |
| 17 | 2008 | 11 | |
| 18 | 2002 | 31 | |
| 19 | Evaluation of diagnostic methods for detection of cytomegalovirus in recipients of allogeneic stem cell transplants (vol 20, pg 59, 2001) | 2001 | 2 |
| 20 | Programming the Built Environment | 1985 | 23 |
About Wolfgang Preiser
Wolfgang Preiser is a scholar working on Virology, Infectious Diseases and Hepatology, having authored 217 papers that have together received 6.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (51 papers), HIV/AIDS drug development and treatment (44 papers), HIV/AIDS Research and Interventions (42 papers), SARS-CoV-2 and COVID-19 Research (33 papers), Hepatitis B Virus Studies (23 papers), Hepatitis C virus research (18 papers), Cytomegalovirus and herpesvirus research (18 papers) and COVID-19 Clinical Research Studies (17 papers). The work is most often cited by research in Virology (919 citations), Infectious Diseases (3.4k citations) and Modeling and Simulation (314 citations). Wolfgang Preiser has collaborated with scholars based in South Africa, Germany and United States. Frequent co-authors include Hans Wilhelm Doerr, Gert U. van Zyl, Holger F. Rabenau, Jindřich Činátl, Gabriele Bauer, Martin Stürmer, Christian Drosten, Shideh Pouria, Armèle Dornelas de Andrade and C. J. Ward. Their work appears in journals such as Journal of Clinical Virology, PLoS ONE, Journal of Medical Virology, Medical Microbiology and Immunology and Infection.
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.