Michael Chia

443 citations
6 papers · 202 · h-index 5

Impact in

Papers in

    • Obstructive Sleep Apnea Research 3
    • Asthma and respiratory diseases 1
    • Genomics and Phylogenetic Studies 1
    • RNA modifications and cancer 1
    • Molecular Biology Techniques and Applications 1

Michael Chia

6 papers receiving 194 citations

Peers

Michael Chia
Comparison fields: 5 of 42
  • Endocrine and Autonomic Systems 37
  • Physiology 113
  • Oncology 58
  • Dermatology 16
  • Pulmonary and Respiratory Medicine 57
Replace Annette Cryer with:
Annette Cryer Germany
G. Nichol United States
Osama A. Ibrahim United States
Kristina M. Stemler United States
Amalia Pérez‐Gil Spain
YACHIYO NOHARA Japan
Zhigang Zhang China
F. Charles Brunicardi United States
Timothy Craig United States
Michael Chia relative to Annette Cryer Germany Annette Cryer's profile →
Citations per field
00.5×6.3×
Annette Cryer · 1×
Citations per year

Countries citing papers authored by Michael Chia

Since Specialization
Citations

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

Fields of papers citing papers by Michael Chia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 200580
2 201355
3 200948
4 201611
5 20085
6 19913

About Michael Chia

Michael Chia is a scholar working on Physiology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Infectious Diseases, having authored 6 papers that have together received 202 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (3 papers), Genomics and Phylogenetic Studies (1 paper), RNA modifications and cancer (1 paper), Molecular Biology Techniques and Applications (1 paper), Allergic Rhinitis and Sensitization (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Asthma and respiratory diseases (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (37 citations), Physiology (113 citations), Oncology (58 citations), Dermatology (16 citations) and Pulmonary and Respiratory Medicine (57 citations). Michael Chia has collaborated with scholars based in Australia and United States. Frequent co-authors include A. Simon Carney, Adrian Esterman, Sam Robinson, Ian D. Davis, Michael Green, Mark Rosenthal, Michael Quinn, Charmaine M. Woods, Lachlan MacGregor and Lynette Kiers. Their work appears in journals such as Clinical Cancer Research, The Medical Journal of Australia, Clinical Otolaryngology, Journal of Clinical Sleep Medicine and Otolaryngology.

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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