Sungching Glenn
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
- Infectious Diseases top 10%
- Antifungal resistance and susceptibility
- SARS-CoV-2 and COVID-19 Research
Papers in
- Health 11
- Vaccine Coverage and Hesitancy 11
-
- COVID-19 epidemiological studies 2
- Co-authors
- Lina S. SyLei QianSteven J. JacobsenStanley XuDenison S RyanJaime G. DevilleTheodore B. MooreKarin Nielsen
- Journals
- Vaccine (5 papers)Journal of Medical Internet Research (3 papers)Clinical Infectious Diseases (1 paper)JMIR mhealth and uhealth (1 paper)Journal of Pediatric Hematology/Oncology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Sungching Glenn
17 papers receiving 534 citations
Peers
Comparison fields: 5 of 91
- Health 135
- Infectious Diseases 236
- Modeling and Simulation 40
- Obstetrics and Gynecology 49
- Oncology 160
Countries citing papers authored by Sungching Glenn
This map shows the geographic impact of Sungching Glenn'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 Sungching Glenn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungching Glenn more than expected).
Fields of papers citing papers by Sungching Glenn
This network shows the impact of papers produced by Sungching Glenn. 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 Sungching Glenn. The network helps show where Sungching Glenn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sungching Glenn, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 8 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 0 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 18 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 44 | |
| 12 | 2021 | 80 | |
| 13 | 2021 | 25 | |
| 14 | 2021 | 69 | |
| 15 | 2021 | 78 | |
| 16 | 2020 | 10 | |
| 17 | 2019 | 16 | |
| 18 | 2019 | 19 | |
| 19 | 2009 | 26 | |
| 20 | 2005 | 131 |
About Sungching Glenn
Sungching Glenn is a scholar working on Health, Modeling and Simulation, Obstetrics and Gynecology, Infectious Diseases and Toxicology, having authored 20 papers that have together received 549 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (11 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Influenza Virus Research Studies (5 papers), COVID-19 and healthcare impacts (4 papers), COVID-19 Impact on Reproduction (3 papers), COVID-19 epidemiological studies (2 papers), Infection Control and Ventilation (2 papers) and Pharmacovigilance and Adverse Drug Reactions (1 paper). The work is most often cited by research in Health (135 citations), Infectious Diseases (236 citations), Modeling and Simulation (40 citations), Obstetrics and Gynecology (49 citations) and Oncology (160 citations). Sungching Glenn has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Lina S. Sy, Lei Qian, Steven J. Jacobsen, Stanley Xu, Denison S Ryan, Jaime G. Deville, Theodore B. Moore, Karin Nielsen, Galit Rosen and Vennis Hong. Their work appears in journals such as Vaccine, Journal of Medical Internet Research, Clinical Infectious Diseases, JMIR mhealth and uhealth and Journal of Pediatric Hematology/Oncology.
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.