C.K. Wong

1.8k citations
62 papers · 1.3k · h-index 23

Impact in

Papers in

C.K. Wong

61 papers receiving 1.2k citations

Peers

C.K. Wong
Comparison fields: 5 of 117
  • Dermatology 244
  • Health, Toxicology and Mutagenesis 182
  • Cell Biology 205
  • Genetics 342
  • Pathology and Forensic Medicine 205
Replace Merja Bläuer with:
Merja Bläuer Finland
Maureen B. Poh‐Fitzpatrick United States
Fabienne Escande France
U. Trechsel Switzerland
K. W. Colston United Kingdom
Angela Maselli Italy
Keiichi Isaka Japan
Edward J. Keenan United States
Farhad Gharibdoost Iran
Marc‐Antoine Belaud‐Rotureau France
C.K. Wong relative to Merja Bläuer Finland Merja Bläuer's profile →
Citations per field
00.5×5.9×
Merja Bläuer · 1×
Citations per year

Countries citing papers authored by C.K. Wong

Since Specialization
Citations

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

Fields of papers citing papers by C.K. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.K. Wong. 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 C.K. Wong. The network helps show where C.K. Wong may publish in the future.

Co-authors

The 25 scholars most cited alongside C.K. Wong, 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 C.K. Wong Line = papers co-authored together C.K. Wong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197077
2 198870
3 198270
4 198860
5 198553
6 201448
7 199948
8 197444
9 200342
10
Dermabrasion for lichen amyloidosus. Report of a long-term study.
198241
11 201340
12 198738
13 198538
14 198035
15 199633
16 199731
17 199631
18 199330
19 198229
20 201827

About C.K. Wong

C.K. Wong is a scholar working on Molecular Biology, Genetics, Cell Biology, Dermatology and Pathology and Forensic Medicine, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (21 papers), Dermatological and Skeletal Disorders (20 papers), Skin and Cellular Biology Research (10 papers), Autoimmune Bullous Skin Diseases (7 papers), Toxic Organic Pollutants Impact (4 papers), Cancer and Skin Lesions (4 papers), Genital Health and Disease (3 papers) and Oral Health Pathology and Treatment (3 papers). The work is most often cited by research in Dermatology (244 citations), Health, Toxicology and Mutagenesis (182 citations), Cell Biology (205 citations), Genetics (342 citations) and Pathology and Forensic Medicine (205 citations). C.K. Wong has collaborated with scholars based in Taiwan, China and Hong Kong. Frequent co-authors include Yun-Te Chang, Wen‐Liang Lo, H.N. Liu, Kuan‐Chih Chow, C. Rappe, M. Nygren, Han‐Nan Liu, Chia-Wen Tsai, Christoffer Rappe and Paul H. Chen. Their work appears in journals such as British Journal of Dermatology, Clinical and Experimental Dermatology, Dermatology, The Journal of Dermatology and Clinics in 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.

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