Quan‐Sing Ng

1.6k citations
17 papers · 770 indexed · h-index 13

Impact in

Papers in

Quan‐Sing Ng

17 papers receiving 763 citations

Peers

Quan‐Sing Ng
Comparison fields: 5 of 68
  • Otorhinolaryngology 231
  • Radiology, Nuclear Medicine and Imaging 237
  • Oncology 256
  • Cancer Research 132
  • Pulmonary and Respiratory Medicine 251
Replace Zhongguo Liang with:
Zhongguo Liang China
Chao‐Nan Qian China
L.A.M. Pop Netherlands
Piet van den Ende Netherlands
John C. Paschold United States
Franciscus J.A. van den Hoogen Netherlands
A. Dimitrakopoulou Germany
Yalan Tao China
Yunxian Mo China
Stefan Welz Germany
Quan‐Sing Ng relative to Zhongguo Liang China Zhongguo Liang's profile →
Citations per field
00.5×3.2×
Zhongguo Liang · 1×
Citations per year

Countries citing papers authored by Quan‐Sing Ng

Since Specialization
Citations

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

Fields of papers citing papers by Quan‐Sing Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201822
2 201815
3 201613
4 201665
5 20165
6 2015164
7 20142
8 201434
9 20146
10 201326
11 20117
12 201178
13 200913
14 200758
15 200766
16 200782
17 2006114

About Quan‐Sing Ng

Quan‐Sing Ng is a scholar working on Otorhinolaryngology, Cancer Research, Oncology, Radiation and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 770 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (5 papers), MRI in cancer diagnosis (4 papers), Medical Imaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Head and Neck Cancer Studies (3 papers), Head and Neck Surgical Oncology (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Otorhinolaryngology (231 citations), Radiology, Nuclear Medicine and Imaging (237 citations), Oncology (256 citations), Cancer Research (132 citations) and Pulmonary and Respiratory Medicine (251 citations). Quan‐Sing Ng has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Vicky Goh, Michele I. Saunders, Peter Hoskin, Wan‐Teck Lim, Anwar R. Padhani, Daniel Shao-Weng Tan, Mei‐Kim Ang, Jessica Milner, Eng-Huat Tan and Ernst Klotz. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Investigative Radiology, Clinical Cancer Research, Head & Neck and Physics in Medicine and Biology.

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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