Anna N. Honko
Impact in
- Infectious Diseases top 0.5%
- Viral Infections and Outbreaks Research
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- Emergency Medical Services top 0.5%
- Disaster Response and Management
Papers in
-
- Viral Infections and Outbreaks Research 41
- Viral Infections and Vectors 28
- Viral gastroenteritis research and epidemiology 15
- SARS-CoV-2 and COVID-19 Research 7
-
- Disaster Response and Management 9
- Co-authors
- Steven B. MizelLisa E. HensleyJoshua C. JohnsonThomas W. GeisbertJoan B. GeisbertGene G. OlingerCynthia J. LeesNammalwar Sriranganathan
- Journals
- The Journal of Infectious Diseases (7 papers)Viruses (5 papers)PLoS ONE (5 papers)Scientific Reports (4 papers)Journal of Virology (4 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Anna N. Honko
57 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 116
- Infectious Diseases 1.9k
- Emergency Medical Services 371
- Modeling and Simulation 169
- Immunology 593
- Endocrinology 116
Countries citing papers authored by Anna N. Honko
This map shows the geographic impact of Anna N. Honko'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 N. Honko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna N. Honko more than expected).
Fields of papers citing papers by Anna N. Honko
This network shows the impact of papers produced by Anna N. Honko. 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 N. Honko. The network helps show where Anna N. Honko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anna N. Honko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2022 | 25 | |
| 3 | 2022 | 4 | |
| 4 | 2021 | 5 | |
| 5 | 2021 | 69 | |
| 6 | 2021 | 3 | |
| 7 | 2020 | 11 | |
| 8 | 2020 | 4 | |
| 9 | 2019 | 13 | |
| 10 | 2019 | 29 | |
| 11 | 2018 | 17 | |
| 12 | 2018 | 27 | |
| 13 | 2018 | 32 | |
| 14 | 2017 | 15 | |
| 15 | 2015 | 23 | |
| 16 | 2014 | 17 | |
| 17 | 2013 | 24 | |
| 18 | 2012 | 34 | |
| 19 | 2011 | 35 | |
| 20 | 2003 | 157 |
About Anna N. Honko
Anna N. Honko is a scholar working on Infectious Diseases, Emergency Medical Services, Modeling and Simulation, Epidemiology and Immunology, having authored 57 papers that have together received 3.1k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (41 papers), Viral Infections and Vectors (28 papers), Viral gastroenteritis research and epidemiology (15 papers), Hepatitis B Virus Studies (12 papers), Disaster Response and Management (9 papers), SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 epidemiological studies (5 papers) and Mosquito-borne diseases and control (5 papers). The work is most often cited by research in Infectious Diseases (1.9k citations), Emergency Medical Services (371 citations), Modeling and Simulation (169 citations), Immunology (593 citations) and Endocrinology (116 citations). Anna N. Honko has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Steven B. Mizel, Lisa E. Hensley, Joshua C. Johnson, Thomas W. Geisbert, Joan B. Geisbert, Gene G. Olinger, Cynthia J. Lees, Nammalwar Sriranganathan, Liangfang Zhang and Weiwei Gao. Their work appears in journals such as The Journal of Infectious Diseases, Viruses, PLoS ONE, Scientific Reports and Journal of Virology.
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.