So Yoon Sim
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
- Health 15
- Vaccine Coverage and Hesitancy 15
-
- Viral gastroenteritis research and epidemiology 3
- Viral Infections and Outbreaks Research 2
- Tuberculosis Research and Epidemiology 1
- Co-authors
- Dagna Constenla (5 shared papers)Bryan Patenaude (7 shared papers)Logan Brenzel (5 shared papers)Raymond Hutubessy (13 shared papers)Elizabeth Watts (5 shared papers)Ann Lindstrand (3 shared papers)William Msemburi (2 shared papers)Austin Carter (2 shared papers)
- Journals
- Value in Health (4 papers)Vaccine (4 papers)Vaccines (2 papers)Health Affairs (2 papers)BMJ Open (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
So Yoon Sim
18 papers receiving 353 citations
Peers
Comparison fields: 5 of 60
- Health 184
- Modeling and Simulation 40
- Infectious Diseases 124
- Hepatology 24
- Epidemiology 82
Countries citing papers authored by So Yoon Sim
This map shows the geographic impact of So Yoon Sim'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 So Yoon Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites So Yoon Sim more than expected).
Fields of papers citing papers by So Yoon Sim
This network shows the impact of papers produced by So Yoon Sim. 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 So Yoon Sim. The network helps show where So Yoon Sim may publish in the future.
Co-authors
The 25 scholars most cited alongside So Yoon Sim, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 86 | |
| 2 | 2023 | 65 | |
| 3 | 2023 | 40 | |
| 4 | 2020 | 28 | |
| 5 | 2021 | 27 | |
| 6 | 2023 | 25 | |
| 7 | 2020 | 20 | |
| 8 | 2020 | 16 | |
| 9 | 2021 | 16 | |
| 10 | 2019 | 12 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2025 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2025 | 0 |
About So Yoon Sim
So Yoon Sim is a scholar working on Health, Infectious Diseases, Epidemiology, Pediatrics, Perinatology and Child Health and Hepatology, having authored 23 papers that have together received 367 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (15 papers), Viral gastroenteritis research and epidemiology (3 papers), Global Maternal and Child Health (3 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Influenza Virus Research Studies (2 papers), COVID-19 epidemiological studies (2 papers), Viral Infections and Outbreaks Research (2 papers) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Health (184 citations), Modeling and Simulation (40 citations), Infectious Diseases (124 citations), Hepatology (24 citations) and Epidemiology (82 citations). So Yoon Sim has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Dagna Constenla, Bryan Patenaude, Logan Brenzel, Raymond Hutubessy, Elizabeth Watts, Ann Lindstrand, William Msemburi, Austin Carter, Katy A. M. Gaythorpe and Mark Jit. Their work appears in journals such as Value in Health, Vaccine, Vaccines, Health Affairs and BMJ Open.
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.