Chaan S. Ng

11.9k citations
189 papers · 8.7k indexed · 3 hit papers · h-index 46
Topics
Renal cell carcinoma treatment (33 papers)MRI in cancer diagnosis (32 papers)Radiomics and Machine Learning in Medical Imaging (32 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood

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...20082026201420202008201120112505007501000

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
Replace Daniel P. Normolle with:
Daniel P. Normolle United States
Bassel F. El‐Rayes United States
Paulo M. Hoff Brazil
Chih‐Hung Hsu Taiwan
Irinel Popescu Romania
Richard Greil Austria
Philip A. Philip United States
Thilo Hackert Germany
Zhengjia Chen United States
Monica M. Bertagnolli United States
Chaan S. Ng relative to Daniel P. Normolle United States Daniel P. Normolle's profile →
Citations per field
00.5×1.5×
Daniel P. Normolle · 1×
Citations per year

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
#WorkIndexed 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

About Chaan S. Ng

Chaan S. Ng is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Oncology, having authored 189 papers that have together received 8.7k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (33 papers), MRI in cancer diagnosis (32 papers) and Radiomics and Machine Learning in Medical Imaging (32 papers). The work is most often cited by research in Molecular Medicine (707 citations), Oncology (2.9k citations) and Cancer Research (1.3k citations). Chaan S. Ng has collaborated with scholars based in United States, United Kingdom and Spain. Frequent 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. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

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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