A. Pflug
Impact in
- Epidemiology top 2%
- Influenza Virus Research Studies
- Virology and Viral Diseases
- Infectious Diseases top 10%
- Viral Infections and Vectors
Papers in
-
- Computational Drug Discovery Methods 7
-
- Influenza Virus Research Studies 9
- Co-authors
- S. Cusack (9 shared papers)Stefan Reich (5 shared papers)Delphine Guilligay (3 shared papers)Patricia Resa‐Infante (3 shared papers)Darren J. Hart (2 shared papers)Maria Lukarska (3 shared papers)Thibaut Crépin (1 shared paper)Imre Berger (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (5 papers)Nature (3 papers)Biochemical Journal (2 papers)RSC Medicinal Chemistry (1 paper)Bioconjugate Chemistry (1 paper)
- Partner nations
- United KingdomFranceGermany
In The Last Decade
A. Pflug
23 papers receiving 1.5k citations
A. Pflug's Hit Papers
Peers
Comparison fields: 5 of 55
- Epidemiology 1k
- Infectious Diseases 147
- Computational Theory and Mathematics 94
- Endocrinology 18
- Molecular Biology 243
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structure of influenza A polymerase bound to the viral RNA promoter Hit paper breakdown → | 2014 | 397 |
| 2 | Structural insight into cap-snatching and RNA synthesis by influenza polymerase Hit paper breakdown → | 2014 | 377 |
| 3 | 2017 | 133 | |
| 4 | 2015 | 118 | |
| 5 | 2020 | 107 | |
| 6 | 2016 | 100 | |
| 7 | 2017 | 42 | |
| 8 | 2010 | 29 | |
| 9 | 2021 | 26 | |
| 10 | 2010 | 25 | |
| 11 | 2013 | 24 | |
| 12 | 2016 | 19 | |
| 13 | 2021 | 19 | |
| 14 | 2020 | 18 | |
| 15 | 2025 | 16 | |
| 16 | 2011 | 14 | |
| 17 | 2022 | 14 | |
| 18 | 2023 | 13 | |
| 19 | 2012 | 11 | |
| 20 | 2012 | 7 |
About A. Pflug
A. Pflug is a scholar working on Computational Theory and Mathematics, Epidemiology, Organic Chemistry, Molecular Biology and Materials Chemistry, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Computational Drug Discovery Methods (7 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Synthesis and biological activity (4 papers), Enzyme Structure and Function (4 papers), Epigenetics and DNA Methylation (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Epidemiology (1k citations), Infectious Diseases (147 citations), Computational Theory and Mathematics (94 citations), Endocrinology (18 citations) and Molecular Biology (243 citations). A. Pflug has collaborated with scholars based in United Kingdom, France and Germany. Frequent co-authors include S. Cusack, Stefan Reich, Delphine Guilligay, Patricia Resa‐Infante, Darren J. Hart, Maria Lukarska, Thibaut Crépin, Imre Berger, Max Nanao and Hélène Malet. Their work appears in journals such as Journal of Medicinal Chemistry, Nature, Biochemical Journal, RSC Medicinal Chemistry and Bioconjugate Chemistry.
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.