Sungching Glenn

1.1k citations
20 papers · 549 indexed · h-index 11

Impact in

  • Health top 5%
    • Vaccine Coverage and Hesitancy
    • Antifungal resistance and susceptibility
    • SARS-CoV-2 and COVID-19 Research

Papers in

Sungching Glenn

17 papers receiving 534 citations

Peers

Sungching Glenn
Comparison fields: 5 of 91
  • Health 135
  • Infectious Diseases 236
  • Modeling and Simulation 40
  • Obstetrics and Gynecology 49
  • Oncology 160
Replace Luz María Vilca with:
Luz María Vilca Spain
Fagen Xie United States
McKenna C. Eastment United States
Claudia Isonne Italy
Jennifer L. Nguyen United States
Paul Lucas United States
Ermengol Coma Spain
Meileen Acosta United States
Lauren Shaw United States
Yu‐Lin Tai Taiwan
Sungching Glenn relative to Luz María Vilca Spain Luz María Vilca's profile →
Citations per field
00.5×1.5×2.2×
Luz María Vilca · 1×
Citations per year

Countries citing papers authored by Sungching Glenn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sungching Glenn Line = papers co-authored together Sungching Glenn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20248
4 20233
5 20229
6 20224
7 20220
8 20226
9 202218
10 20213
11 202144
12 202180
13 202125
14 202169
15 202178
16 202010
17 201916
18 201919
19 200926
20 2005131

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.

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