Sofieke Klamer
Impact in
- Hepatology top 5%
- Hepatitis Viruses Studies and Epidemiology
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 detection and testing 4
- SARS-CoV-2 and COVID-19 Research 4
-
- Hepatitis Viruses Studies and Epidemiology 5
- Co-authors
- Carlijn Voermans (5 shared papers)Klaas Bouwmeester (2 shared papers)Francine Govers (2 shared papers)Anne Gouget (2 shared papers)Hervé Canut (2 shared papers)Mara de Sain (1 shared paper)Rob Weide (1 shared paper)Steven Van Gucht (2 shared papers)
- Journals
- Viruses (4 papers)Archives of Public Health (3 papers)Eurosurveillance (3 papers)Cell Adhesion & Migration (2 papers)Epidemiology and Infection (2 papers)
- Partner nations
- BelgiumSwedenNetherlands
In The Last Decade
Sofieke Klamer
29 papers receiving 970 citations
Peers
Comparison fields: 5 of 76
- Hepatology 217
- Modeling and Simulation 48
- Infectious Diseases 146
- Virology 29
- Physiology 25
Countries citing papers authored by Sofieke Klamer
This map shows the geographic impact of Sofieke Klamer'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 Sofieke Klamer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofieke Klamer more than expected).
Fields of papers citing papers by Sofieke Klamer
This network shows the impact of papers produced by Sofieke Klamer. 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 Sofieke Klamer. The network helps show where Sofieke Klamer may publish in the future.
Co-authors
The 25 scholars most cited alongside Sofieke Klamer, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 198 | |
| 2 | 2018 | 156 | |
| 3 | 2019 | 106 | |
| 4 | 2014 | 80 | |
| 5 | 2022 | 54 | |
| 6 | 2013 | 42 | |
| 7 | 2019 | 40 | |
| 8 | 2020 | 37 | |
| 9 | 2019 | 30 | |
| 10 | 2013 | 24 | |
| 11 | 2021 | 22 | |
| 12 | 2023 | 20 | |
| 13 | 2015 | 19 | |
| 14 | 2022 | 19 | |
| 15 | 2022 | 17 | |
| 16 | 2021 | 16 | |
| 17 | 2021 | 15 | |
| 18 | 2018 | 13 | |
| 19 | 2021 | 13 | |
| 20 | 2022 | 13 |
About Sofieke Klamer
Sofieke Klamer is a scholar working on Infectious Diseases, Hepatology, Hematology, Modeling and Simulation and General Health Professions, having authored 29 papers that have together received 985 indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (5 papers), COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 detection and testing (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Plant Pathogens and Resistance (2 papers), COVID-19 epidemiological studies (2 papers) and Geriatric Care and Nursing Homes (2 papers). The work is most often cited by research in Hepatology (217 citations), Modeling and Simulation (48 citations), Infectious Diseases (146 citations), Virology (29 citations) and Physiology (25 citations). Sofieke Klamer has collaborated with scholars based in Belgium, Sweden and Netherlands. Frequent co-authors include Carlijn Voermans, Klaas Bouwmeester, Francine Govers, Anne Gouget, Hervé Canut, Mara de Sain, Rob Weide, Steven Van Gucht, Vanessa Suin and Lorenzo Subissi. Their work appears in journals such as Viruses, Archives of Public Health, Eurosurveillance, Cell Adhesion & Migration and Epidemiology and Infection.
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.