A. Pflug
Impact in
- Epidemiology top 2%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Immunology top 10%
- interferon and immune responses
Papers in
-
- RNA and protein synthesis mechanisms 9
- Protein Structure and Dynamics 3
-
- Influenza Virus Research Studies 8
- Co-authors
- S. Cusack (9 shared papers)Delphine Guilligay (3 shared papers)Stefan Reich (3 shared papers)Patricia Resa‐Infante (3 shared papers)Darren J. Hart (2 shared papers)Maria Lukarska (3 shared papers)Max Nanao (1 shared paper)T. Lunardi (1 shared paper)
In The Last Decade
A. Pflug
22 papers receiving 1.4k citations
A. Pflug's Hit Papers
Peers
Comparison fields: 5 of 69
- Epidemiology 887
- Immunology 379
- Infectious Diseases 312
- Molecular Biology 756
- Cardiology and Cardiovascular Medicine 176
Countries citing papers authored by A. Pflug
This map shows the geographic impact of A. Pflug'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 A. Pflug with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Pflug more than expected).
Fields of papers citing papers by A. Pflug
This network shows the impact of papers produced by A. Pflug. 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 A. Pflug. The network helps show where A. Pflug may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Pflug, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 374 | |
| 2 | Structural insight into cap-snatching and RNA synthesis by influenza polymerase Hit paper breakdown → | 2014 | 355 |
| 3 | 2017 | 125 | |
| 4 | 2015 | 119 | |
| 5 | 2020 | 101 | |
| 6 | 2016 | 99 | |
| 7 | 2017 | 41 | |
| 8 | 2010 | 29 | |
| 9 | 2010 | 24 | |
| 10 | 2019 | 22 | |
| 11 | 2013 | 22 | |
| 12 | 2016 | 18 | |
| 13 | 2011 | 14 | |
| 14 | 2020 | 13 | |
| 15 | 2022 | 13 | |
| 16 | 2023 | 12 | |
| 17 | 1999 | 10 | |
| 18 | 2012 | 10 | |
| 19 | 2012 | 7 | |
| 20 | 2021 | 3 |
About A. Pflug
A. Pflug is a scholar working on Molecular Biology, Epidemiology, Immunology, Cardiology and Cardiovascular Medicine and Oncology, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), Influenza Virus Research Studies (8 papers), interferon and immune responses (3 papers), Protein Structure and Dynamics (3 papers), Viral Infections and Immunology Research (3 papers), Microtubule and mitosis dynamics (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Epidemiology (887 citations), Immunology (379 citations), Infectious Diseases (312 citations), Molecular Biology (756 citations) and Cardiology and Cardiovascular Medicine (176 citations). A. Pflug has collaborated with scholars based in Germany, France and Norway. Frequent co-authors include S. Cusack, Delphine Guilligay, Stefan Reich, Patricia Resa‐Infante, Darren J. Hart, Maria Lukarska, Max Nanao, T. Lunardi, Hélène Malet and Thibaut Crépin. Their work appears in journals such as Nature, Blood, Biochemical Journal, Bioconjugate Chemistry and Molecular Cell.
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.