Ng Shyh‐Chang

11.6k citations
44 papers · 6.3k indexed · 5 hit papers · h-index 23
Topics
Pluripotent Stem Cells Research (11 papers)Muscle Physiology and Disorders (8 papers)MicroRNA in disease regulation (7 papers)

In The Last Decade

Ng Shyh‐Chang

43 papers receiving 6.2k citations

Hit Papers

Glutamine supports pancreatic cancer growth through a KRA...2009202620142020201320112009201820124008001.2k

Peers

Ng Shyh‐Chang
Comparison fields: 5 of 140
  • Molecular Biology 4.5k
  • Cancer Research 2.7k
  • Oncology 716
  • Physiology 640
  • Surgery 487
Replace Hesham A. Sadek with:
Hesham A. Sadek United States
Xiaoxia Qi United States
Eric Metzen Germany
Daisuke Nakada United States
Hao Zhu United States
Ashish Lal United States
Matthew M. Rechler United States
Andrea Ventura United States
Keiyo Takubo Japan
Jay W. Schneider United States
Ng Shyh‐Chang relative to Hesham A. Sadek United States Hesham A. Sadek's profile →
Citations per field
00.5×1.5×2.0×
Hesham A. Sadek · 1×
Citations per year

Countries citing papers authored by Ng Shyh‐Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ng Shyh‐Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ng Shyh‐Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ng Shyh‐Chang. A scholar is included among the top collaborators of Ng Shyh‐Chang 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 Ng Shyh‐Chang. Ng Shyh‐Chang 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 4
3 4
4 24
5 6
6 6
7 30
8 64
9 35
10 20
11 232
12 38
13 55
14 34
15
Glutamine supports pancreatic cancer growth through a KRAS-regulated metabolic pathwaybreakdown →
1491
16 285
17
Influence of Threonine Metabolism on S -Adenosylmethionine and Histone Methylationbreakdown →
506
18
The Lin28/let-7 Axis Regulates Glucose Metabolismbreakdown →
724
19 247
20
MicroRNA-125b is a novel negative regulator of p53breakdown →
545

About Ng Shyh‐Chang

Ng Shyh‐Chang is a scholar working on Aging, Cancer Research and Molecular Biology, having authored 44 papers that have together received 6.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (11 papers), Muscle Physiology and Disorders (8 papers) and MicroRNA in disease regulation (7 papers). The work is most often cited by research in Cancer Research (2.7k citations), Aging (151 citations) and Molecular Biology (4.5k citations). Ng Shyh‐Chang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include George Q. Daley, Lewis C. Cantley, John M. Asara, Hao Zhu, Costas A. Lyssiotis, Huck‐Hui Ng, Minh T. N. Le, Gen Shinoda, Bing Lim and Matteo Ligorio. Their work appears in journals such as Nature, Science and Cell.

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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