Roland Schwarzer
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
-
- Lipid Membrane Structure and Behavior 10
- Protein Structure and Dynamics 4
- Virology 12
- HIV Research and Treatment 12
- Co-authors
- Andreas Herrmann (14 shared papers)Andrea Gramatica (7 shared papers)Warner C. Greene (7 shared papers)Steven G. Deeks (5 shared papers)Jörg Nikolaus (2 shared papers)Timm Heek (1 shared paper)Carlo Fasting (1 shared paper)Kai Licha (1 shared paper)
- Journals
- Biochimica et Biophysica Acta (BBA) - Biomembranes (3 papers)Biomedicine & Pharmacotherapy (3 papers)Viruses (3 papers)Scientific Reports (2 papers)Cellular Microbiology (2 papers)
- Partner nations
- GermanyUnited StatesIsrael
In The Last Decade
Roland Schwarzer
31 papers receiving 486 citations
Peers
Comparison fields: 5 of 77
- Virology 160
- Infectious Diseases 117
- Immunology 97
- Biophysics 23
- Molecular Biology 232
Countries citing papers authored by Roland Schwarzer
This map shows the geographic impact of Roland Schwarzer'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 Roland Schwarzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roland Schwarzer more than expected).
Fields of papers citing papers by Roland Schwarzer
This network shows the impact of papers produced by Roland Schwarzer. 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 Roland Schwarzer. The network helps show where Roland Schwarzer may publish in the future.
Co-authors
The 25 scholars most cited alongside Roland Schwarzer, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 80 | |
| 2 | 2019 | 73 | |
| 3 | 2013 | 71 | |
| 4 | 2013 | 34 | |
| 5 | 2014 | 31 | |
| 6 | 2020 | 26 | |
| 7 | 2024 | 20 | |
| 8 | 2012 | 16 | |
| 9 | 2020 | 15 | |
| 10 | 2016 | 15 | |
| 11 | 2016 | 15 | |
| 12 | 2022 | 12 | |
| 13 | 2019 | 12 | |
| 14 | 2014 | 11 | |
| 15 | 2021 | 9 | |
| 16 | 2020 | 9 | |
| 17 | 2022 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2018 | 5 | |
| 20 | 2014 | 5 |
About Roland Schwarzer
Roland Schwarzer is a scholar working on Molecular Biology, Virology, Infectious Diseases, Immunology and Epidemiology, having authored 34 papers that have together received 490 indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), Lipid Membrane Structure and Behavior (10 papers), T-cell and B-cell Immunology (4 papers), Protein Structure and Dynamics (4 papers), Immune Cell Function and Interaction (4 papers), Viral Infections and Outbreaks Research (4 papers), Viral Infections and Vectors (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Virology (160 citations), Infectious Diseases (117 citations), Immunology (97 citations), Biophysics (23 citations) and Molecular Biology (232 citations). Roland Schwarzer has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Andreas Herrmann, Andrea Gramatica, Warner C. Greene, Steven G. Deeks, Jörg Nikolaus, Timm Heek, Carlo Fasting, Kai Licha, Pia Welker and Rainer Haag. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Biomedicine & Pharmacotherapy, Viruses, Scientific Reports and Cellular Microbiology.
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.