Anna K. Lugnér
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Parasitology top 5%
- Vector-borne infectious diseases
Papers in
- Epidemiology 11
- Influenza Virus Research Studies 5
- Virology and Viral Diseases 2
- Pneumonia and Respiratory Infections 2
- Co-authors
- Jacco Wallinga (8 shared papers)Sido D. Mylius (2 shared papers)Paul F. M. Krabbe (1 shared paper)Maarten J. Postma (5 shared papers)Thomas J. Hagenaars (1 shared paper)Anita Suijkerbuijk (7 shared papers)Wilfrid van Pelt (4 shared papers)Michiel van Boven (3 shared papers)
- Journals
- European Journal of Public Health (5 papers)Vaccine (4 papers)Health Economics (2 papers)Expert Review of Vaccines (1 paper)Health Policy (1 paper)
- Partner nations
- NetherlandsUnited StatesSpain
In The Last Decade
Anna K. Lugnér
26 papers receiving 678 citations
Peers
Comparison fields: 5 of 81
- Modeling and Simulation 109
- Parasitology 79
- Microbiology 72
- Health 71
- Infectious Diseases 145
Countries citing papers authored by Anna K. Lugnér
This map shows the geographic impact of Anna K. Lugnér'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 Anna K. Lugnér with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna K. Lugnér more than expected).
Fields of papers citing papers by Anna K. Lugnér
This network shows the impact of papers produced by Anna K. Lugnér. 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 Anna K. Lugnér. The network helps show where Anna K. Lugnér may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna K. Lugnér, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 90 | |
| 2 | 2020 | 62 | |
| 3 | 2015 | 45 | |
| 4 | 2014 | 41 | |
| 5 | 2009 | 39 | |
| 6 | 2010 | 38 | |
| 7 | 2012 | 37 | |
| 8 | 2017 | 35 | |
| 9 | 2010 | 34 | |
| 10 | 2012 | 30 | |
| 11 | 2013 | 27 | |
| 12 | 2009 | 22 | |
| 13 | 2015 | 22 | |
| 14 | 2009 | 22 | |
| 15 | 2015 | 22 | |
| 16 | 2009 | 21 | |
| 17 | 2009 | 19 | |
| 18 | 2013 | 18 | |
| 19 | 2016 | 16 | |
| 20 | 2013 | 14 |
About Anna K. Lugnér
Anna K. Lugnér is a scholar working on Epidemiology, Infectious Diseases, Health, Microbiology and Economics and Econometrics, having authored 26 papers that have together received 692 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (5 papers), Influenza Virus Research Studies (5 papers), COVID-19 epidemiological studies (3 papers), Reproductive tract infections research (3 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Virology and Viral Diseases (2 papers), Bacterial Infections and Vaccines (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Modeling and Simulation (109 citations), Parasitology (79 citations), Microbiology (72 citations), Health (71 citations) and Infectious Diseases (145 citations). Anna K. Lugnér has collaborated with scholars based in Netherlands, United States and Spain. Frequent co-authors include Jacco Wallinga, Sido D. Mylius, Paul F. M. Krabbe, Maarten J. Postma, Thomas J. Hagenaars, Anita Suijkerbuijk, Wilfrid van Pelt, Michiel van Boven, G. Ardine de Wit and Cees C. van den Wijngaard. Their work appears in journals such as European Journal of Public Health, Vaccine, Health Economics, Expert Review of Vaccines and Health Policy.
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.