OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Continued demographic shifts in hospitalised patients with COVID-19 from migrant workers to a vulnerable and more elderly local population at risk of severe disease
Jinghao Nicholas Ngiam, Srishti Chhabra, Wilson Wen Bin Goh, et al.
International Journal of Infectious Diseases (2022) Vol. 127, pp. 77-84
Open Access | Times Cited: 5
Jinghao Nicholas Ngiam, Srishti Chhabra, Wilson Wen Bin Goh, et al.
International Journal of Infectious Diseases (2022) Vol. 127, pp. 77-84
Open Access | Times Cited: 5
Showing 5 citing articles:
Dengue versus COVID-19: comparing the incidence of cardiovascular, neuropsychiatric and autoimmune complications
Liang En Wee, Jue Tao Lim, Janice Yu Jin Tan, et al.
Journal of Travel Medicine (2024) Vol. 31, Iss. 5
Closed Access | Times Cited: 2
Liang En Wee, Jue Tao Lim, Janice Yu Jin Tan, et al.
Journal of Travel Medicine (2024) Vol. 31, Iss. 5
Closed Access | Times Cited: 2
Venous thromboembolism in an Asian COVID-19 cohort across 3 infection waves—a retrospective observational study
Shir Ying Lee, Winnie Z.Y. Teo, Cheryl X.Q. Lim, et al.
Research and Practice in Thrombosis and Haemostasis (2023) Vol. 7, Iss. 7, pp. 102218-102218
Open Access | Times Cited: 4
Shir Ying Lee, Winnie Z.Y. Teo, Cheryl X.Q. Lim, et al.
Research and Practice in Thrombosis and Haemostasis (2023) Vol. 7, Iss. 7, pp. 102218-102218
Open Access | Times Cited: 4
Inflammatory phenotypes may be more important than age and comorbidities in predicting clinical outcomes in hospitalised patients with COVID-19
Jinghao Nicholas Ngiam, Matthew Chung Yi Koh, Tze Sian Liong, et al.
IJID Regions (2023) Vol. 8, pp. 84-89
Open Access | Times Cited: 2
Jinghao Nicholas Ngiam, Matthew Chung Yi Koh, Tze Sian Liong, et al.
IJID Regions (2023) Vol. 8, pp. 84-89
Open Access | Times Cited: 2
Adding Hyponatremia to the “Rule-of-6” Prediction Tool Improves Performance in Identifying Hospitalised Patients with COVID-19 at Risk of Adverse Clinical Outcomes
M Sim, Jinghao Nicholas Ngiam, Matthew Chung Yi Koh, et al.
Pathogens (2024) Vol. 13, Iss. 8, pp. 694-694
Open Access
M Sim, Jinghao Nicholas Ngiam, Matthew Chung Yi Koh, et al.
Pathogens (2024) Vol. 13, Iss. 8, pp. 694-694
Open Access
Predictors of disease severity in SARS‐CoV‐2 omicron variant XBB sublineages and variants of interest
Jinghao Nicholas Ngiam, Oon Tek Ng, Matthias Paul Han Sim Toh, et al.
Journal of Medical Virology (2023) Vol. 95, Iss. 11
Closed Access
Jinghao Nicholas Ngiam, Oon Tek Ng, Matthias Paul Han Sim Toh, et al.
Journal of Medical Virology (2023) Vol. 95, Iss. 11
Closed Access
