Shaokoon Cheng

3.5k citations
114 papers · 2.6k · h-index 28

Impact in

Papers in

Shaokoon Cheng

108 papers receiving 2.5k citations

Peers

Shaokoon Cheng
Comparison fields: 5 of 146
  • Endocrine and Autonomic Systems 155
  • Pulmonary and Respiratory Medicine 633
  • Pharmaceutical Science 123
  • Physiology 455
  • Biomedical Engineering 690
Replace Gert Nilsson with:
Gert Nilsson Sweden
Lynne E. Bilston Australia
Peter S. Roland United States
Pamela J. VandeVord United States
Dong‐Kyu Kim South Korea
Dan L. Bader United Kingdom
Richard A. Chole United States
Takemi Matsui Japan
Takashi Ono Japan
Niels Hammer Germany
Shaokoon Cheng relative to Gert Nilsson Sweden Gert Nilsson's profile →
Citations per field
00.5×10×15×21.5×
Gert Nilsson · 1×
Citations per year

Countries citing papers authored by Shaokoon Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Shaokoon Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005177
2 2008174
3 200994
4 201094
5 202088
6 200886
7 201384
8 201984
9 201279
10 199076
11 201374
12 201972
13 202157
14 201956
15 202256
16 201449
17 201549
18 201547
19 201346
20 201043

About Shaokoon Cheng

Shaokoon Cheng is a scholar working on Pulmonary and Respiratory Medicine, Biomedical Engineering, Physiology, Electrical and Electronic Engineering and Computational Mechanics, having authored 114 papers that have together received 2.6k indexed citations. Recurring topics across this work include Inhalation and Respiratory Drug Delivery (27 papers), Obstructive Sleep Apnea Research (15 papers), Cerebrospinal fluid and hydrocephalus (11 papers), Automotive and Human Injury Biomechanics (10 papers), Elasticity and Material Modeling (10 papers), Spinal Dysraphism and Malformations (10 papers), Aerosol Filtration and Electrostatic Precipitation (7 papers) and Granular flow and fluidized beds (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (155 citations), Pulmonary and Respiratory Medicine (633 citations), Pharmaceutical Science (123 citations), Physiology (455 citations) and Biomedical Engineering (690 citations). Shaokoon Cheng has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Lynne E. Bilston, Elizabeth Clarke, Simon C. Gandevia, Jane E. Butler, Ann Lee, Agisilaos Kourmatzis, Ralph Sinkus, M. Mozafari, Liz Brown and Hak‐Kim Chan. Their work appears in journals such as Journal of Biomechanics, International Journal of Pharmaceutics, Journal of Aerosol Science, Powder Technology and Journal of Neurosurgery Spine.

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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