Daniel Chan

471 citations
11 papers · 387 · h-index 6

Impact in

Papers in

Daniel Chan

10 papers receiving 369 citations

Peers

Daniel Chan
Comparison fields: 5 of 67
  • Epidemiology 212
  • Endocrinology, Diabetes and Metabolism 86
  • Hepatology 21
  • Food Science 43
  • Physiology 50
Replace Aneta Czerwonogrodzka–Senczyna with:
Aneta Czerwonogrodzka–Senczyna Poland
Fatima Maria Massenti Italy
Patricia Medina‐Bravo Mexico
Sanja Klobučar Majanović Croatia
Márcia Regina Simas Gonçalves Torres Brazil
J. Rafael Jiménez-Flores Mexico
Ourania Apostolou Greece
Natalia Mazzella Italy
Eugen Moța Romania
Sultan Durmuş Aydoğdu Türkiye
Daniel Chan relative to Aneta Czerwonogrodzka–Senczyna Poland Aneta Czerwonogrodzka–Senczyna's profile →
Citations per field
00.5×6.1×
Aneta Czerwonogrodzka–Senczyna · 1×
Citations per year

Countries citing papers authored by Daniel Chan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2004259
2 200851
3 200629
4 201819
5
Childhood obstructive sleep apnoea: an update.
200413
6 20117
7
Induced sputum in childhood asthma.
20055
8 19912
9 20241
10 20241
11 20230

About Daniel Chan

Daniel Chan is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Physiology, Social Psychology and Radiological and Ultrasound Technology, having authored 11 papers that have together received 387 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (2 papers), Family and Disability Support Research (1 paper), Respiratory Support and Mechanisms (1 paper), Melamine detection and toxicity (1 paper), Older Adults Driving Studies (1 paper), Obstructive Sleep Apnea Research (1 paper), Human-Automation Interaction and Safety (1 paper) and Family and Patient Care in Intensive Care Units (1 paper). The work is most often cited by research in Epidemiology (212 citations), Endocrinology, Diabetes and Metabolism (86 citations), Hepatology (21 citations), Food Science (43 citations) and Physiology (50 citations). Daniel Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Chi Kong Li, Chiu‐Wing Winnie Chu, Tai Fai Fok, E. Anthony S. Nelson, Eric Wong, Christopher Wai Kei Lam, Jiamin Yin, Michael Chan, Iris Hiu-Shuen Chan and Hugh Simon Lam. Their work appears in journals such as International Journal of Obesity, International Nursing Review, BMC Medical Education, Thorax and Asia Pacific Journal of Social Work and Development.

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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