PC Ng

947 citations
19 papers · 659 · h-index 12

Impact in

    • Dermatology and Skin Diseases
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology

Papers in

PC Ng

19 papers receiving 629 citations

Peers

PC Ng
Comparison fields: 5 of 73
  • Dermatology 143
  • Infectious Diseases 207
  • Immunology and Allergy 56
  • Modeling and Simulation 33
  • Endocrine and Autonomic Systems 28
Replace James G. Easton with:
James G. Easton United States
Bianca Laura Cinicola Italy
Danna Moustafa United States
Jiayi Zhang China
John R. Mullen United States
Meizhu Chen China
Nicole Yarid United States
Marco Maglione Italy
Elizabeth Phillips United States
Jan‐Peter Sperhake Germany
PC Ng relative to James G. Easton United States James G. Easton's profile →
Citations per field
00.5×10×15×20×
James G. Easton · 1×
Citations per year

Countries citing papers authored by PC Ng

Since Specialization
Citations

This map shows the geographic impact of PC Ng'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 PC Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites PC Ng more than expected).

Fields of papers citing papers by PC Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by PC Ng. 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 PC Ng. The network helps show where PC Ng may publish in the future.

Co-authors

The 24 scholars most cited alongside PC Ng, 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 PC Ng Line = papers co-authored together PC Ng links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2003287
2 200767
3 200663
4 199834
5 200930
6 199728
7 200124
8 199620
9 200319
10 200217
11 199815
12 199714
13 20049
14 19969
15 19987
16 19977
17 20015
18 19963
19 19961

About PC Ng

PC Ng is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Dermatology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 19 papers that have together received 659 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (3 papers), Neonatal Respiratory Health Research (3 papers), Neonatal and fetal brain pathology (2 papers), Ethics and Legal Issues in Pediatric Healthcare (2 papers), Respiratory viral infections research (2 papers), Prenatal Screening and Diagnostics (2 papers), Cardiovascular Conditions and Treatments (2 papers) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Dermatology (143 citations), Infectious Diseases (207 citations), Immunology and Allergy (56 citations), Modeling and Simulation (33 citations) and Endocrine and Autonomic Systems (28 citations). PC Ng has collaborated with scholars based in Hong Kong and China. Frequent co-authors include TF Fok, TF Leung, Chi Kong Li, Mike Yat Wah Kwan, Chi‐Ho Lee, William Chi Wai Wong, Hung‐Kwan So, William W. Wong, Ka‐Lung Lam and Robert C.K. Cheung. Their work appears in journals such as Acta Paediatrica, British Journal of Dermatology, Orthodontics and Craniofacial Research, European Respiratory Journal and International Journal of Immunogenetics.

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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