A. K. Wong
- Molecular Biology
- Immunology top 10%
- Organic Chemistry top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Hematology top 10%
- Co-authors
- David P. FairlieStephen M. TaylorMichael L. WestIstván TóthAngela M. FinchDavid J. CraikNatalii J. PaczkowskiJames A. Rogers
- Topics
- Complement system in diseases (5 papers)Receptor Mechanisms and Signaling (5 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyMolecular and Cellular Biology
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
A. K. Wong
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 683
- Immunology 388
- Organic Chemistry 210
- Radiology, Nuclear Medicine and Imaging 123
- Hematology 102
Countries citing papers authored by A. K. Wong
This map shows the geographic impact of A. K. 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 A. K. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. K. Wong more than expected).
Fields of papers citing papers by A. K. Wong
This network shows the impact of papers produced by A. K. 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 A. K. Wong. The network helps show where A. K. Wong may publish in the future.
Co-authorship network of co-authors of A. K. Wong
This figure shows the co-authorship network connecting the top 25 collaborators of A. K. Wong. A scholar is included among the top collaborators of A. K. 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 A. K. Wong. A. K. 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 | 16 | |
| 2 | 50 | |
| 3 | 95 | |
| 4 | 15 | |
| 5 | 45 | |
| 6 | 133 | |
| 7 | 57 | |
| 8 | 78 | |
| 9 | 213 | |
| 10 | Development of C5a receptor antagonists. | 28 |
| 11 | 1 | |
| 12 | 63 | |
| 13 | 35 | |
| 14 | 201 | |
| 15 | Evidence that precursor cells of monocytes and B-lymphocytes are closely related. | 10 |
| 16 | Changes in phosphoproteins during commitment of HL60 cells to monocyte differentiation: evidence for multiple protein kinase involvement. | 10 |
| 17 | 37 | |
| 18 | 20 | |
| 19 | 90 | |
| 20 | 43 |
About A. K. Wong
A. K. Wong is a scholar working on Immunology, Physiology and Molecular Biology, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complement system in diseases (5 papers), Receptor Mechanisms and Signaling (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Immunology (388 citations), Physiology (47 citations) and Molecular Biology (683 citations). A. K. Wong has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include David P. Fairlie, Stephen M. Taylor, Michael L. West, István Tóth, Angela M. Finch, David J. Craik, Natalii J. Paczkowski, James A. Rogers, Richard A. Gatti and Winston Salser. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Molecular and Cellular Biology.
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.