Matthias Götte
- Infectious Diseases top 0.2%
- Molecular Biology top 5%
- Virology top 0.2%
- Epidemiology top 2%
- Hepatology top 1%
- Co-authors
- Egor P. TchesnokovDanielle PorterJoy Y. FengCalvin J. GordonMark A. WainbergJason K. PerryEmma WoolnerBruno Marchand
- Topics
- HIV/AIDS drug development and treatment (83 papers)HIV Research and Treatment (71 papers)DNA and Nucleic Acid Chemistry (22 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Matthias Götte
132 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Infectious Diseases 4.2k
- Molecular Biology 2.1k
- Virology 1.8k
- Epidemiology 1.2k
- Hepatology 567
Countries citing papers authored by Matthias Götte
This map shows the geographic impact of Matthias Götte'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 Matthias Götte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Götte more than expected).
Fields of papers citing papers by Matthias Götte
This network shows the impact of papers produced by Matthias Götte. 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 Matthias Götte. The network helps show where Matthias Götte may publish in the future.
Co-authorship network of co-authors of Matthias Götte
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Götte. A scholar is included among the top collaborators of Matthias Götte based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthias Götte. Matthias Götte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 42 | |
| 4 | Mutations in the SARS-CoV-2 RNA-dependent RNA polymerase confer resistance to remdesivir by distinct mechanismsbreakdown → | 139 |
| 5 | NRTIs tenofovir, TAF, TDF, and FTC are inactive against SARS-CoV-2 | 0 |
| 6 | Molnupiravir promotes SARS-CoV-2 mutagenesis via the RNA templatebreakdown → | 212 |
| 7 | 5 | |
| 8 | 45 | |
| 9 | Remdesivir is a direct-acting antiviral that inhibits RNA-dependent RNA polymerase from severe acute respiratory syndrome coronavirus 2 with high potencybreakdown → | 698 |
| 10 | 10 | |
| 11 | 11 | |
| 12 | 7 | |
| 13 | 16 | |
| 14 | 23 | |
| 15 | 175 | |
| 16 | 55 | |
| 17 | 121 | |
| 18 | 8 | |
| 19 | 77 | |
| 20 | 42 |
About Matthias Götte
Matthias Götte is a scholar working on Virology, Infectious Diseases and Hepatology, having authored 138 papers that have together received 6.1k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (83 papers), HIV Research and Treatment (71 papers) and DNA and Nucleic Acid Chemistry (22 papers). The work is most often cited by research in Virology (1.8k citations), Infectious Diseases (4.2k citations) and Hepatology (567 citations). Matthias Götte has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Egor P. Tchesnokov, Danielle Porter, Joy Y. Feng, Calvin J. Gordon, Mark A. Wainberg, Jason K. Perry, Emma Woolner, Bruno Marchand, Raymond F. Schinazi and Jordan J. Feld. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.