See-Meng Khoo

484 citations
12 papers · 359 · h-index 8

Impact in

Papers in

See-Meng Khoo

12 papers receiving 353 citations

Peers

See-Meng Khoo
Comparison fields: 5 of 58
  • Endocrine and Autonomic Systems 123
  • Physiology 280
  • Cardiology and Cardiovascular Medicine 119
  • Pulmonary and Respiratory Medicine 170
  • Experimental and Cognitive Psychology 21
Replace Vinay Gulati with:
Vinay Gulati United States
Paolo Sciarrone Italy
Nick Duffy United Kingdom
Ann Greenberg United States
Uma Maheswari Krishnaswamy India
Wercules Oliveira Brazil
E. Orvoën-Frija France
Patrick R. Bader Switzerland
Ermengol Vallès Spain
Ioannis Nikolopoulos Greece
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Citations per field
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Citations per year

Countries citing papers authored by See-Meng Khoo

Since Specialization
Citations

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

Fields of papers citing papers by See-Meng Khoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by See-Meng Khoo. 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 See-Meng Khoo. The network helps show where See-Meng Khoo may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2009119
2 201191
3 201355
4
Feasibility of using low-volume tissue samples for gene expression profiling of advanced non-small cell lung cancers.
200327
5 200324
6 201714
7 201310
8 20078
9 20135
10 20104
11 20171
12 20151

About See-Meng Khoo

See-Meng Khoo is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine and Endocrine and Autonomic Systems, having authored 12 papers that have together received 359 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (7 papers), Neuroscience of respiration and sleep (3 papers), Cardiovascular Disease and Adiposity (3 papers), Cardiovascular and Diving-Related Complications (2 papers), Cardiovascular Syncope and Autonomic Disorders (2 papers), Gene expression and cancer classification (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (123 citations), Physiology (280 citations), Cardiology and Cardiovascular Medicine (119 citations), Pulmonary and Respiratory Medicine (170 citations) and Experimental and Cognitive Psychology (21 citations). See-Meng Khoo has collaborated with scholars based in Singapore and United States. Frequent co-authors include Chi‐Hang Lee, Huay Cheem Tan, Adrian F. Low, Bee‐Choo Tai, Mark Richards, Mark Y. Chan, Tiong‐Cheng Yeo, Eric Chong, Swee-Guan Teo and Hwee-Bee Wong. Their work appears in journals such as CHEST Journal, Sleep Medicine, Sleep And Breathing, Journal of the American College of Cardiology and Acute Cardiac Care.

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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