C.S. Ng

5.1k citations
72 papers · 3.8k · h-index 32

Impact in

Papers in

C.S. Ng

71 papers receiving 3.7k citations

Peers

C.S. Ng
Comparison fields: 5 of 81
  • Pathology and Forensic Medicine 2.5k
  • Dermatology 598
  • Oncology 1.8k
  • Immunology 1.0k
  • Genetics 246
Replace Douglas W. Kingma with:
Douglas W. Kingma United States
Khalil Sheibani United States
John K.C. Chan China
John G. Strickler United States
A G Stansfeld United Kingdom
Susan L. Abbondanzo United States
Morishige Takeshita Japan
Risa B. Mann United States
P. van Heerde Netherlands
Masaru Kojima Japan
C.S. Ng relative to Douglas W. Kingma United States Douglas W. Kingma's profile →
Citations per field
00.5×1.5×1.8×
Douglas W. Kingma · 1×
Citations per year

Countries citing papers authored by C.S. Ng

Since Specialization
Citations

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

Fields of papers citing papers by C.S. Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997489
2 1998352
3
Relationship between high-grade lymphoma and low-grade B-cell mucosa-associated lymphoid tissue lymphoma (MALToma) of the stomach.
1990248
4 1987177
5 1994158
6 1989155
7 1992151
8 1994139
9 1987132
10 1989132
11 1994126
12 1994110
13 198886
14 198685
15 198865
16 199461
17 198958
18 200058
19 199656
20 198752

About C.S. Ng

C.S. Ng is a scholar working on Pathology and Forensic Medicine, Oncology, Immunology, Surgery and Dermatology, having authored 72 papers that have together received 3.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (38 papers), Immune Cell Function and Interaction (16 papers), Viral-associated cancers and disorders (14 papers), Cutaneous lymphoproliferative disorders research (9 papers), Eosinophilic Disorders and Syndromes (8 papers), Vascular Tumors and Angiosarcomas (8 papers), T-cell and Retrovirus Studies (6 papers) and Sarcoma Diagnosis and Treatment (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.5k citations), Dermatology (598 citations), Oncology (1.8k citations), Immunology (1.0k citations) and Genetics (246 citations). C.S. Ng has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include William Y.W. Tsang, W.H. Lau, John K.C. Chan, John K. C. Chan, Stephen T.H. Lo, Pak‐Kwan Hui, John K. C. Chan, John Chan, Michael M.C. Cheung and K. F. Wong. Their work appears in journals such as Human Pathology, Histopathology, The American Journal of Surgical Pathology, Pathology and Cancer.

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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