S Glismann
Impact in
- Health top 0.5%
- Vaccine Coverage and Hesitancy
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Tuberculosis Research and Epidemiology
Papers in
- Epidemiology 24
- Virology and Viral Diseases 11
- Influenza Virus Research Studies 9
- Data-Driven Disease Surveillance 6
- Respiratory viral infections research 4
- Health 11
- Vaccine Coverage and Hesitancy 11
- Co-authors
- François Meurice (2 shared papers)Pauline Paterson (2 shared papers)Lawrence R. Stanberry (1 shared paper)Susan L. Rosenthal (1 shared paper)Heidi J. Larson (1 shared paper)Kåre Mølbak (9 shared papers)Mark Muscat (7 shared papers)Henrik Bang (4 shared papers)
- Journals
- Eurosurveillance (10 papers)Vaccine (8 papers)Journal of Clinical Microbiology (1 paper)The Lancet (1 paper)Vaccines (1 paper)
- Partner nations
- DenmarkUnited StatesItaly
In The Last Decade
S Glismann
32 papers receiving 1.3k citations
S Glismann's Hit Papers
Peers
Comparison fields: 5 of 100
- Health 656
- Infectious Diseases 425
- Epidemiology 633
- Modeling and Simulation 90
- Microbiology 78
Countries citing papers authored by S Glismann
This map shows the geographic impact of S Glismann'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 S Glismann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Glismann more than expected).
Fields of papers citing papers by S Glismann
This network shows the impact of papers produced by S Glismann. 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 S Glismann. The network helps show where S Glismann may publish in the future.
Co-authors
The 25 scholars most cited alongside S Glismann, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Vaccine hesitancy and healthcare providers Hit paper breakdown → | 2016 | 624 |
| 2 | 2009 | 156 | |
| 3 | 2001 | 120 | |
| 4 | 2011 | 55 | |
| 5 | 2012 | 51 | |
| 6 | 2008 | 36 | |
| 7 | 2012 | 34 | |
| 8 | 2013 | 31 | |
| 9 | 2011 | 20 | |
| 10 | 2018 | 19 | |
| 11 | 2005 | 19 | |
| 12 | 2011 | 19 | |
| 13 | 2001 | 17 | |
| 14 | 2017 | 17 | |
| 15 | 2000 | 17 | |
| 16 | 2003 | 16 | |
| 17 | 2016 | 16 | |
| 18 | 2011 | 16 | |
| 19 | 2008 | 14 | |
| 20 | 2009 | 13 |
About S Glismann
S Glismann is a scholar working on Epidemiology, Health, Infectious Diseases, Physiology and Microbiology, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virology and Viral Diseases (11 papers), Vaccine Coverage and Hesitancy (11 papers), Influenza Virus Research Studies (9 papers), Data-Driven Disease Surveillance (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Respiratory viral infections research (4 papers), Bacterial Infections and Vaccines (3 papers) and Immune responses and vaccinations (3 papers). The work is most often cited by research in Health (656 citations), Infectious Diseases (425 citations), Epidemiology (633 citations), Modeling and Simulation (90 citations) and Microbiology (78 citations). S Glismann has collaborated with scholars based in Denmark, United States and Italy. Frequent co-authors include François Meurice, Pauline Paterson, Lawrence R. Stanberry, Susan L. Rosenthal, Heidi J. Larson, Kåre Mølbak, Mark Muscat, Henrik Bang, Jan Wohlfahrt and Troels Lillebæk. Their work appears in journals such as Eurosurveillance, Vaccine, Journal of Clinical Microbiology, The Lancet and Vaccines.
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.