Shuk Han Cheng

15.5k citations
279 papers · 12.1k indexed · 2 hit papers · h-index 59

Shuk Han Cheng

272 papers receiving 11.9k citations

Hit Papers

Development of a magne...3731997202620062016100200300400500

Peers

Shuk Han Cheng
Comparison fields: 5 of 195
  • Health, Toxicology and Mutagenesis 1.2k
  • Cell Biology 1.0k
  • Molecular Biology 4.0k
  • Physiology 251
  • Pollution 570
Replace Boon‐Huat Bay with:
Boon‐Huat Bay Singapore
Qun Wang China
Gregory J. Anderson Australia
Jing Wang China
Song Li China
M. Prakash Hande Singapore
Jean Krutmann Germany
Jue Zhang China
Qing‐Yu He China
Qiang Liu China
Shuk Han Cheng relative to Boon‐Huat Bay Singapore Boon‐Huat Bay's profile →
Citations per field
00.5×1.7×
Boon‐Huat Bay · 1×
Citations per year

Countries citing papers authored by Shuk Han Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Shuk Han Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shuk Han Cheng. 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 Shuk Han Cheng. The network helps show where Shuk Han Cheng may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20259
3 20241
4 20240
5 20248
6 20238
7 202110
8 202035
9 202023
10 201839
11 201629
12 2013207
13 201248
14
The SAMAL Model for Affective Learning: A multidimensional model incorporating the body, mind and emotion in learning.
20115
15
SAFETY AND EXPRESSION OF A SINGLE DOSE OF LIPID-MEDIATED CFTR GENE THERAPY TO THE UPPER AND LOWER AIRWAYS OF PATIENTS WITH CF
20114
16
Smart Ambience for Affective Learning (SAMAL): An Innovative Exploration for Integrating Immersive Virtual Reality in Education
20111
17 201067
18 2007281
19 200629
20 199787

About Shuk Han Cheng

Shuk Han Cheng is a scholar working on Cell Biology, Physiology and Radiology, Nuclear Medicine and Imaging, having authored 279 papers that have together received 12.1k indexed citations. Recurring topics across this work include Effects of Radiation Exposure (32 papers), Zebrafish Biomedical Research Applications (30 papers), Radiation Therapy and Dosimetry (26 papers), RNA Interference and Gene Delivery (16 papers), Virus-based gene therapy research (16 papers), Cystic Fibrosis Research Advances (15 papers), Neonatal Respiratory Health Research (15 papers) and Microfluidic and Bio-sensing Technologies (15 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.2k citations), Cell Biology (1.0k citations) and Molecular Biology (4.0k citations). Shuk Han Cheng has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Jinping Cheng, Dong Sun, Alan E. Smith, Yun Wah Lam, Kenneth Kam‐Wing Lo, Michael J. Welsh, Emmanuel Flahaut, Wing‐Tak Wong, Kaiyuan Yu and Rudolf S.S. Wu. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

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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