Grace H. Huang
- Anesthesiology and Pain Medicine top 2%
- Pediatrics, Perinatology and Child Health top 5%
- Developmental Neuroscience top 5%
- Surgery
- Cardiology and Cardiovascular Medicine
- Co-authors
- Andrew DavidsonRobyn StargattStephanie A. StewartKris M. JamsenMargaret A. GibsonCaroline M. CzarneckiGeoff FrawleyG. Esteban Fernández
- Topics
- Anesthesia and Sedative Agents (4 papers)Anesthesia and Pain Management (3 papers)Pediatric Pain Management Techniques (2 papers)
- Cited by
- Anesthesiology and Pain MedicineDevelopmental NeuroscienceCritical Care and Intensive Care Medicine
- Partner nations
- AustraliaUnited StatesSwitzerland
In The Last Decade
Grace H. Huang
9 papers receiving 492 citations
Peers
Comparison fields: 5 of 60
- Anesthesiology and Pain Medicine 245
- Pediatrics, Perinatology and Child Health 192
- Developmental Neuroscience 166
- Surgery 115
- Cardiology and Cardiovascular Medicine 107
Countries citing papers authored by Grace H. Huang
This map shows the geographic impact of Grace H. Huang'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 Grace H. Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace H. Huang more than expected).
Fields of papers citing papers by Grace H. Huang
This network shows the impact of papers produced by Grace H. Huang. 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 Grace H. Huang. The network helps show where Grace H. Huang may publish in the future.
Co-authorship network of co-authors of Grace H. Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Grace H. Huang. A scholar is included among the top collaborators of Grace H. Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Grace H. Huang. Grace H. Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 7 | |
| 3 | 35 | |
| 4 | 46 | |
| 5 | 113 | |
| 6 | 100 | |
| 7 | 73 | |
| 8 | 86 | |
| 9 | 14 |
About Grace H. Huang
Grace H. Huang is a scholar working on Anesthesiology and Pain Medicine, Developmental Neuroscience and Radiological and Ultrasound Technology, having authored 9 papers that have together received 515 indexed citations. Recurring topics across this work include Anesthesia and Sedative Agents (4 papers), Anesthesia and Pain Management (3 papers) and Pediatric Pain Management Techniques (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (245 citations), Developmental Neuroscience (166 citations) and Critical Care and Intensive Care Medicine (104 citations). Grace H. Huang has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Andrew Davidson, Robyn Stargatt, Stephanie A. Stewart, Kris M. Jamsen, Margaret A. Gibson, Caroline M. Czarnecki, Geoff Frawley, G. Esteban Fernández, Gregory S. Payne and Giancarlo Costaguta. Their work appears in journals such as Molecular Biology of the Cell, Anesthesia & Analgesia and British Journal of Anaesthesia.
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.