Chi Kin Wong
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Surgery
- Physiology top 10%
- Epidemiology
- Co-authors
- Daniel J. DruckerBrent A. McLeanRandy J. SeeleyStefan TrappJonathan E. CampbellDavid J. HodsonLaurie L. BaggioJacqueline A. Koehler
- Topics
- Diabetes Treatment and Management (11 papers)Pancreatic function and diabetes (8 papers)Metabolism, Diabetes, and Cancer (5 papers)
- Journals
- Journal of Clinical InvestigationThe Journal of Experimental MedicineSHILAP Revista de lepidopterología
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Chi Kin Wong
34 papers receiving 886 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Endocrinology, Diabetes and Metabolism 411
- Molecular Biology 276
- Surgery 239
- Physiology 221
- Epidemiology 125
Countries citing papers authored by Chi Kin Wong
This map shows the geographic impact of Chi Kin Wong'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 Chi Kin Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Kin Wong more than expected).
Fields of papers citing papers by Chi Kin Wong
This network shows the impact of papers produced by Chi Kin Wong. 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 Chi Kin Wong. The network helps show where Chi Kin Wong may publish in the future.
Co-authorship network of co-authors of Chi Kin Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Chi Kin Wong. A scholar is included among the top collaborators of Chi Kin Wong 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 Chi Kin Wong. Chi Kin Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 16 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 80 | |
| 13 | 44 | |
| 14 | 31 | |
| 15 | 25 | |
| 16 | 17 | |
| 17 | 36 | |
| 18 | Risk Factors Associated with Gestational Diabetes Mellitus | 8 |
| 19 | 26 | |
| 20 | 40 |
About Chi Kin Wong
Chi Kin Wong is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Obstetrics and Gynecology, having authored 35 papers that have together received 905 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (11 papers), Pancreatic function and diabetes (8 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (411 citations), Gastroenterology (50 citations) and Physiology (221 citations). Chi Kin Wong has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Daniel J. Drucker, Brent A. McLean, Randy J. Seeley, Stefan Trapp, Jonathan E. Campbell, David J. Hodson, Laurie L. Baggio, Jacqueline A. Koehler, William T. Gibson and Nikolaj Rittig. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.
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.