Daniel K. Ng

1.7k citations
43 papers · 1.2k indexed · h-index 19

Impact in

Papers in

Daniel K. Ng

40 papers receiving 1.1k citations

Peers

Daniel K. Ng
Comparison fields: 5 of 101
  • Endocrine and Autonomic Systems 483
  • Physiology 639
  • Complementary and Manual Therapy 50
  • Immunology and Allergy 92
  • Experimental and Cognitive Psychology 148
Replace Ka‐li Kwok with:
Ka‐li Kwok China
Imran H. Iftikhar United States
Robert Skomro Canada
Chung‐hong Chan China
Declan Kennedy Australia
Susan Redline United States
Juha Seppä Finland
Peggy M. Simon United States
Alejandro D. Chediak United States
D. Robin Taylor New Zealand
Daniel K. Ng relative to Ka‐li Kwok China Ka‐li Kwok's profile →
Citations per field
00.5×1.5×2.3×
Ka‐li Kwok · 1×
Citations per year

Countries citing papers authored by Daniel K. Ng

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel K. 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 Daniel K. Ng. The network helps show where Daniel K. Ng may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201621
2 201323
3 201348
4 20129
5 201127
6 200910
7 200953
8 20097
9 200847
10 200746
11 200684
12 200629
13 200631
14 2005105
15 20051
16 200339
17 2003101
18 200218
19
Nocturnal enuresis and obstructive sleep apnoea in two children.
20016
20
Syndrome of inappropriate antidiuretic hormone secretion associated with selective serotonin reuptake inhibitors
19961

About Daniel K. Ng

Daniel K. Ng is a scholar working on Endocrine and Autonomic Systems, Anesthesiology and Pain Medicine, Immunology and Allergy, Physiology and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (17 papers), Neuroscience of respiration and sleep (13 papers), Allergic Rhinitis and Sensitization (5 papers), Airway Management and Intubation Techniques (5 papers), Respiratory Support and Mechanisms (4 papers), Asthma and respiratory diseases (4 papers), Tracheal and airway disorders (3 papers) and Cardiovascular and Diving-Related Complications (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (483 citations), Physiology (639 citations), Complementary and Manual Therapy (50 citations), Immunology and Allergy (92 citations) and Experimental and Cognitive Psychology (148 citations). Daniel K. Ng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Chung‐hong Chan, Ka‐li Kwok, Pok-yu Chow, Josephine M. Cheung, Yiu‐fai Cheung, Shuk-yu Leung, Jackson C. Ho, Wilfred Hing Sang Wong, Handong Li and Tak‐Cheung Yung. Their work appears in journals such as Pediatric Pulmonology, Sleep And Breathing, CHEST Journal, Vaccine and Journal of Managed Care & Specialty Pharmacy.

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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