Marisa Bargsten
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in
- Epidemiology 10
- Influenza Virus Research Studies 9
- Respiratory viral infections research 5
- Pneumonia and Respiratory Infections 2
-
- Infectious Encephalopathies and Encephalitis 2
- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Lisa A. Miller (8 shared papers)Evan J. Anderson (9 shared papers)Shelley M. Zansky (10 shared papers)Mary Lou Lindegren (6 shared papers)Sandra S. Chaves (5 shared papers)Ruth Lynfield (7 shared papers)Ann Thomas (9 shared papers)William Schaffner (7 shared papers)
- Journals
- Open Forum Infectious Diseases (6 papers)Clinical Infectious Diseases (2 papers)The Journal of Infectious Diseases (1 paper)Infection (1 paper)MMWR Morbidity and Mortality Weekly Report (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Marisa Bargsten
10 papers receiving 254 citations
Peers
Comparison fields: 5 of 57
- Modeling and Simulation 40
- Health 60
- Epidemiology 199
- Microbiology 23
- Infectious Diseases 64
Countries citing papers authored by Marisa Bargsten
This map shows the geographic impact of Marisa Bargsten'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 Marisa Bargsten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marisa Bargsten more than expected).
Fields of papers citing papers by Marisa Bargsten
This network shows the impact of papers produced by Marisa Bargsten. 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 Marisa Bargsten. The network helps show where Marisa Bargsten may publish in the future.
Co-authors
The 25 scholars most cited alongside Marisa Bargsten, 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 | 2017 | 119 | |
| 2 | 2016 | 47 | |
| 3 | 2016 | 30 | |
| 4 | 2015 | 29 | |
| 5 | 2017 | 20 | |
| 6 | 2016 | 6 | |
| 7 | 2016 | 3 | |
| 8 | 2016 | 2 | |
| 9 | 2017 | 1 | |
| 10 | 2017 | 1 | |
| 11 | 2014 | 0 | |
| 12 | 2017 | 0 |
About Marisa Bargsten
Marisa Bargsten is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Microbiology and Health, having authored 12 papers that have together received 258 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Respiratory viral infections research (5 papers), COVID-19 epidemiological studies (4 papers), Bacterial Infections and Vaccines (2 papers), Pneumonia and Respiratory Infections (2 papers), Infectious Encephalopathies and Encephalitis (2 papers), Smoking Behavior and Cessation (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Modeling and Simulation (40 citations), Health (60 citations), Epidemiology (199 citations), Microbiology (23 citations) and Infectious Diseases (64 citations). Marisa Bargsten has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Lisa A. Miller, Evan J. Anderson, Shelley M. Zansky, Mary Lou Lindegren, Sandra S. Chaves, Ruth Lynfield, Ann Thomas, William Schaffner, Kimberly Yousey‐Hindes and Susan Bohm. Their work appears in journals such as Open Forum Infectious Diseases, Clinical Infectious Diseases, The Journal of Infectious Diseases, Infection and MMWR Morbidity and Mortality Weekly Report.
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.