Selina Liu
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Molecular Biology
- Orthopedics and Sports Medicine top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Constance LebrunRoss D. FeldmanRobert GrosBaiju R. ShahVanessa TranMariam NaqshbandiStewart B. HarrisTamara Spaic
- Topics
- Diabetes Management and Research (9 papers)Diabetes Management and Education (6 papers)Hyperglycemia and glycemic control in critically ill and hospitalized patients (4 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismOrthopedics and Sports MedicineObstetrics and Gynecology
- Journals
- CirculationSHILAP Revista de lepidopterologíaBlood
- Partner nations
- CanadaUnited KingdomSwitzerland
In The Last Decade
Selina Liu
23 papers receiving 309 citations
Peers
Comparison fields: 5 of 64
- Endocrinology, Diabetes and Metabolism 160
- Surgery 89
- Molecular Biology 70
- Orthopedics and Sports Medicine 57
- Cardiology and Cardiovascular Medicine 47
Countries citing papers authored by Selina Liu
This map shows the geographic impact of Selina Liu'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 Selina Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Selina Liu more than expected).
Fields of papers citing papers by Selina Liu
This network shows the impact of papers produced by Selina Liu. 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 Selina Liu. The network helps show where Selina Liu may publish in the future.
Co-authorship network of co-authors of Selina Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Selina Liu. A scholar is included among the top collaborators of Selina Liu 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 Selina Liu. Selina Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 31 | |
| 17 | 1 | |
| 18 | 23 | |
| 19 | 98 | |
| 20 | 140 |
About Selina Liu
Selina Liu is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology and Ophthalmology, having authored 24 papers that have together received 329 indexed citations. Recurring topics across this work include Diabetes Management and Research (9 papers), Diabetes Management and Education (6 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (160 citations), Orthopedics and Sports Medicine (57 citations) and Obstetrics and Gynecology (29 citations). Selina Liu has collaborated with scholars based in Canada, United Kingdom and Switzerland. Frequent co-authors include Constance Lebrun, Ross D. Feldman, Robert Gros, Baiju R. Shah, Vanessa Tran, Mariam Naqshbandi, Stewart B. Harris, Tamara Spaic, Jeffrey L. Mahon and Maged Gomaa Hemida. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Blood.
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.