Wing Ki Wong
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Immunology
- Obstetrics and Gynecology top 10%
- Ophthalmology top 10%
- Co-authors
- Charlotte M. DeaneGuy GeorgesAlexander BujotzekBrennan AbanadesFergus BoylesJinwoo LeemMatthew I. J. RaybouldTze Kin Lau
- Topics
- Monoclonal and Polyclonal Antibodies Research (11 papers)vaccines and immunoinformatics approaches (6 papers)T-cell and B-cell Immunology (6 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Wing Ki Wong
22 papers receiving 514 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Radiology, Nuclear Medicine and Imaging 305
- Molecular Biology 301
- Immunology 151
- Obstetrics and Gynecology 50
- Ophthalmology 40
Countries citing papers authored by Wing Ki Wong
This map shows the geographic impact of Wing Ki 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 Wing Ki Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wing Ki Wong more than expected).
Fields of papers citing papers by Wing Ki Wong
This network shows the impact of papers produced by Wing Ki 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 Wing Ki Wong. The network helps show where Wing Ki Wong may publish in the future.
Co-authorship network of co-authors of Wing Ki Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Wing Ki Wong. A scholar is included among the top collaborators of Wing Ki 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 Wing Ki Wong. Wing Ki 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 | 2 | |
| 2 | ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteinsbreakdown → | 150 |
| 3 | 20 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 28 | |
| 8 | 31 | |
| 9 | 24 | |
| 10 | 11 | |
| 11 | 47 | |
| 12 | 29 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 4 | |
| 16 | 9 | |
| 17 | Discontinuation rates of topical glaucoma medications in a managed care population. | 41 |
| 18 | 59 | |
| 19 | 5 | |
| 20 | 18 |
About Wing Ki Wong
Wing Ki Wong is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Developmental Neuroscience, having authored 24 papers that have together received 542 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), vaccines and immunoinformatics approaches (6 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (305 citations), Immunology (151 citations) and Obstetrics and Gynecology (50 citations). Wing Ki Wong has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Charlotte M. Deane, Guy Georges, Alexander Bujotzek, Brennan Abanades, Fergus Boyles, Jinwoo Leem, Matthew I. J. Raybould, Tze Kin Lau, Theodoric Wong and Nelson L.S. Tang. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Frontiers in Immunology.
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.