Chaan S. Ng

11.9k total citations · 3 hit papers
189 papers, 8.7k citations indexed

About

Chaan S. Ng is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Chaan S. Ng has authored 189 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Radiology, Nuclear Medicine and Imaging, 55 papers in Pulmonary and Respiratory Medicine and 52 papers in Oncology. Recurrent topics in Chaan S. Ng's work include Renal cell carcinoma treatment (33 papers), MRI in cancer diagnosis (32 papers) and Radiomics and Machine Learning in Medical Imaging (32 papers). Chaan S. Ng is often cited by papers focused on Renal cell carcinoma treatment (33 papers), MRI in cancer diagnosis (32 papers) and Radiomics and Machine Learning in Medical Imaging (32 papers). Chaan S. Ng collaborates with scholars based in United States, United Kingdom and Spain. Chaan S. Ng's co-authors include Razelle Kurzrock, James L. Abbruzzese, Chusilp Charnsangavej, Robert A. Wolff, Robert A. Newman, Navneet K. Dhillon, Bharat B. Aggarwal, Ajaikumar B. Kunnumakkara, Vladimir Badmaev and Carl M. Sandler and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Chaan S. Ng

185 papers receiving 8.5k citations

Hit Papers

Phase II Trial of Curcumin in Patients with Advanced Panc... 2008 2026 2014 2020 2008 2011 2011 250 500 750 1000

Peers

Chaan S. Ng
Comparison fields: 5 of 145
  • Oncology 2.9k
  • Molecular Biology 2.8k
  • Pulmonary and Respiratory Medicine 2.3k
  • Surgery 1.5k
  • Epidemiology 1.4k
Daniel P. Normolle United States
Paulo M. Hoff Brazil
Zhengjia Chen United States
Bassel F. El‐Rayes United States
Massimo Gion Italy
Richard Greil Austria
Chih‐Hung Hsu Taiwan
Gregory T. MacLennan United States
Christine Sempoux Belgium
Siqing Fu United States
Daniel P. Normolle United States View profile →
Citations per field, relative to Chaan S. Ng
Chaan S. Ng · 1×
Citations per year, relative to Chaan S. Ng
Chaan S. Ng · 1×

Countries citing papers authored by Chaan S. Ng

Since Specialization
Citations

This map shows the geographic impact of Chaan 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 Chaan 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 Chaan S. Ng more than expected).

Fields of papers citing papers by Chaan S. Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaan S. Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Chaan S. Ng. A scholar is included among the top collaborators of Chaan S. Ng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chaan S. Ng. Chaan S. Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 13
4 3
5 12
6 20
7 12
8 39
9 28
10 95
11 19
12 58
13 152
14 62
15 13
16 20
17 3
18 10
19 1
20 49

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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