Ralf Duerr
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
- SARS-CoV-2 detection and testing
Papers in ⓘ
-
- SARS-CoV-2 and COVID-19 Research 15
- HIV/AIDS Research and Interventions 5
- HIV/AIDS drug development and treatment 5
- COVID-19 Clinical Research Studies 4
- Virology 14
- HIV Research and Treatment 13
- Co-authors
- Adriana Heguy (10 shared papers)Christian Marier (8 shared papers)Dacia Dimartino (7 shared papers)Guiqing Wang (5 shared papers)Paul Zappile (8 shared papers)Sameer Mehta (1 shared paper)Sarah Hochman (1 shared paper)Miroslaw K. Górny (4 shared papers)
- Journals
- Nature Communications (2 papers)Virus Evolution (2 papers)PLoS Pathogens (2 papers)EBioMedicine (2 papers)Virology (2 papers)
- Partner nations
- United StatesCameroonCanada
In The Last Decade
Ralf Duerr
33 papers receiving 293 citations
Peers
Comparison fields: 5 of 64
- Virology 104
- Infectious Diseases 206
- Modeling and Simulation 20
- Immunology 48
- Animal Science and Zoology 17
Countries citing papers authored by Ralf Duerr
This map shows the geographic impact of Ralf Duerr'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 Ralf Duerr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralf Duerr more than expected).
Fields of papers citing papers by Ralf Duerr
This network shows the impact of papers produced by Ralf Duerr. 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 Ralf Duerr. The network helps show where Ralf Duerr may publish in the future.
Co-authors
The 25 scholars most cited alongside Ralf Duerr, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 64 | |
| 2 | 2021 | 34 | |
| 3 | 2017 | 22 | |
| 4 | 2021 | 18 | |
| 5 | 2022 | 11 | |
| 6 | 2023 | 11 | |
| 7 | 2019 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2023 | 8 | |
| 11 | 2017 | 8 | |
| 12 | 2025 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2019 | 7 | |
| 20 | 2019 | 7 |
About Ralf Duerr
Ralf Duerr is a scholar working on Infectious Diseases, Virology, Immunology, Molecular Biology and Animal Science and Zoology, having authored 35 papers that have together received 295 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (15 papers), HIV Research and Treatment (13 papers), Immune Cell Function and Interaction (6 papers), Animal Virus Infections Studies (5 papers), HIV/AIDS Research and Interventions (5 papers), HIV/AIDS drug development and treatment (5 papers), COVID-19 Clinical Research Studies (4 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Virology (104 citations), Infectious Diseases (206 citations), Modeling and Simulation (20 citations), Immunology (48 citations) and Animal Science and Zoology (17 citations). Ralf Duerr has collaborated with scholars based in United States, Cameroon and Canada. Frequent co-authors include Adriana Heguy, Christian Marier, Dacia Dimartino, Guiqing Wang, Paul Zappile, Sameer Mehta, Sarah Hochman, Miroslaw K. Górny, Aubin Nanfack and Andrea B. Troxel. Their work appears in journals such as Nature Communications, Virus Evolution, PLoS Pathogens, EBioMedicine and Virology.
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.