P.C. Ng
Impact in
- Genetics top 1%
- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
- Dermatology top 1%
- Dermatology and Skin Diseases
Papers in
-
- Neonatal Respiratory Health Research 17
-
- SARS-CoV-2 and COVID-19 Research 6
- Viral gastroenteritis research and epidemiology 4
- COVID-19 Clinical Research Studies 4
- Co-authors
- Tai Fai Fok (18 shared papers)Kam‐Lun Ellis Hon (17 shared papers)T. F. Fok (13 shared papers)Ting Fan Leung (13 shared papers)K W So (11 shared papers)Hung‐Kwan So (12 shared papers)M. Y. M. Wong (4 shared papers)William W. Wong (4 shared papers)
- Journals
- Archives of Disease in Childhood Fetal & Neonatal (18 papers)Archives of Disease in Childhood (6 papers)Neonatology (5 papers)The Journal of Clinical Endocrinology & Metabolism (4 papers)Clinical and Experimental Dermatology (4 papers)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
P.C. Ng
69 papers receiving 7.0k citations
P.C. Ng's Hit Papers
Peers
Comparison fields: 5 of 164
- Genetics 1.5k
- Dermatology 349
- Immunology and Allergy 196
- Molecular Biology 2.2k
- Cancer Research 398
Countries citing papers authored by P.C. Ng
This map shows the geographic impact of P.C. 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 P.C. Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.C. Ng more than expected).
Fields of papers citing papers by P.C. Ng
This network shows the impact of papers produced by P.C. 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 P.C. Ng. The network helps show where P.C. Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside P.C. Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SIFT: predicting amino acid changes that affect protein function Hit paper breakdown → | 2003 | 4528 |
| 2 | 1997 | 237 | |
| 3 | 2004 | 226 | |
| 4 | 2003 | 190 | |
| 5 | 2007 | 124 | |
| 6 | 1997 | 110 | |
| 7 | 2003 | 101 | |
| 8 | 2008 | 88 | |
| 9 | 2001 | 80 | |
| 10 | 2006 | 73 | |
| 11 | 2004 | 65 | |
| 12 | 2004 | 65 | |
| 13 | 2001 | 63 | |
| 14 | 2006 | 63 | |
| 15 | 1998 | 62 | |
| 16 | 1997 | 55 | |
| 17 | 2009 | 51 | |
| 18 | 1999 | 50 | |
| 19 | 2011 | 50 | |
| 20 | 2008 | 50 |
About P.C. Ng
P.C. Ng is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases, Pediatrics, Perinatology and Child Health, Surgery and Dermatology, having authored 69 papers that have together received 7.2k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (17 papers), Infant Nutrition and Health (7 papers), Dermatology and Skin Diseases (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Birth, Development, and Health (5 papers), Viral gastroenteritis research and epidemiology (4 papers), COVID-19 Clinical Research Studies (4 papers) and Congenital Diaphragmatic Hernia Studies (4 papers). The work is most often cited by research in Genetics (1.5k citations), Dermatology (349 citations), Immunology and Allergy (196 citations), Molecular Biology (2.2k citations) and Cancer Research (398 citations). P.C. Ng has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Tai Fai Fok, Kam‐Lun Ellis Hon, T. F. Fok, Ting Fan Leung, K W So, Hung‐Kwan So, M. Y. M. Wong, William W. Wong, Kam Lau Cheung and TF Fok. Their work appears in journals such as Archives of Disease in Childhood Fetal & Neonatal, Archives of Disease in Childhood, Neonatology, The Journal of Clinical Endocrinology & Metabolism and Clinical and Experimental Dermatology.
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.