ChiSing Ng

5.0k citations
78 papers · 4.2k · h-index 33

Impact in

Papers in

ChiSing Ng

76 papers receiving 3.9k citations

Peers

ChiSing Ng
Comparison fields: 5 of 82
  • Pathology and Forensic Medicine 2.8k
  • Oncology 2.0k
  • Dermatology 678
  • Immunology 1.1k
  • Genetics 309
Replace Douglas W. Kingma with:
Douglas W. Kingma United States
Khalil Sheibani United States
John R. Goodlad United Kingdom
John G. Strickler United States
Iguaracyra Araújo Brazil
John K.C. Chan China
Susan L. Abbondanzo United States
A G Stansfeld United Kingdom
Bettina Fabiani France
Risa B. Mann United States
ChiSing 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 ChiSing Ng

Since Specialization
Citations

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

Fields of papers citing papers by ChiSing Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997549
2 1998388
3
Relationship between high-grade lymphoma and low-grade B-cell mucosa-associated lymphoid tissue lymphoma (MALToma) of the stomach.
1990267
4 1987199
5 1994174
6 1989170
7 1992162
8 1994157
9 1989146
10 1994140
11 1987139
12 1994114
13 1986103
14 198895
15 199674
16 199470
17 198970
18 198868
19 200065
20 198764

About ChiSing Ng

ChiSing Ng is a scholar working on Pathology and Forensic Medicine, Immunology, Oncology, Dermatology and Rheumatology, having authored 78 papers that have together received 4.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (39 papers), Immune Cell Function and Interaction (18 papers), Viral-associated cancers and disorders (14 papers), Cutaneous lymphoproliferative disorders research (10 papers), T-cell and Retrovirus Studies (8 papers), Chronic Lymphocytic Leukemia Research (8 papers), Eosinophilic Disorders and Syndromes (8 papers) and Vascular Tumors and Angiosarcomas (8 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.8k citations), Oncology (2.0k citations), Dermatology (678 citations), Immunology (1.1k citations) and Genetics (309 citations). ChiSing 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. Chan, John K. C. Chan, Michael M.C. Cheung and K. F. Wong. Their work appears in journals such as Human Pathology, Histopathology, Pathology, The American Journal of Surgical 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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