So Yoon Sim
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
- Health 18
- Vaccine Coverage and Hesitancy 18
-
- Viral gastroenteritis research and epidemiology 5
- Viral Infections and Outbreaks Research 3
- Co-authors
- Dagna Constenla (5 shared papers)Logan Brenzel (5 shared papers)Bryan Patenaude (7 shared papers)Raymond Hutubessy (11 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)Health Affairs (2 papers)Vaccine (2 papers)Vaccines (2 papers)BMJ Open (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
So Yoon Sim
16 papers receiving 310 citations
Peers
Comparison fields: 5 of 61
- Health 206
- Modeling and Simulation 51
- Infectious Diseases 150
- Hepatology 28
- Epidemiology 99
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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 76 | |
| 2 | 2023 | 57 | |
| 3 | 2023 | 36 | |
| 4 | 2021 | 25 | |
| 5 | 2023 | 22 | |
| 6 | 2020 | 21 | |
| 7 | 2020 | 18 | |
| 8 | 2021 | 16 | |
| 9 | 2020 | 13 | |
| 10 | 2019 | 10 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2025 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2020 | 0 | |
| 20 | 2022 | 0 |
About So Yoon Sim
So Yoon Sim is a scholar working on Health, Infectious Diseases, Pediatrics, Perinatology and Child Health, Modeling and Simulation and General Health Professions, having authored 20 papers that have together received 319 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (18 papers), Global Maternal and Child Health (7 papers), COVID-19 epidemiological studies (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Influenza Virus Research Studies (3 papers), Viral Infections and Outbreaks Research (3 papers), Health Policy Implementation Science (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Health (206 citations), Modeling and Simulation (51 citations), Infectious Diseases (150 citations), Hepatology (28 citations) and Epidemiology (99 citations). So Yoon Sim has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Dagna Constenla, Logan Brenzel, Bryan Patenaude, 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, Health Affairs, Vaccine, Vaccines 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.