K. H. Wong
- Molecular Biology
- Endocrinology top 2%
- Microbiology top 2%
- Epidemiology
- Infectious Diseases top 10%
- Co-authors
- John C. FeeleyMichael D. GeschwindR J ArkoLeonel Tadao TakadaSven FornerS K SkeltonRobert S. NorthrupA Sutton
- Topics
- Bacterial Infections and Vaccines (12 papers)Reproductive tract infections research (9 papers)Prion Diseases and Protein Misfolding (9 papers)
- Cited by
- EndocrinologyMicrobiologyNeurology
- Journals
- Annals of Internal MedicineJournal of Clinical MicrobiologyThe Journal of Infectious Diseases
- Partner nations
- United StatesItalyCanada
In The Last Decade
K. H. Wong
46 papers receiving 767 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 393
- Endocrinology 273
- Microbiology 206
- Epidemiology 174
- Infectious Diseases 162
Countries citing papers authored by K. H. Wong
This map shows the geographic impact of K. H. 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 K. H. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. H. Wong more than expected).
Fields of papers citing papers by K. H. Wong
This network shows the impact of papers produced by K. H. 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 K. H. Wong. The network helps show where K. H. Wong may publish in the future.
Co-authorship network of co-authors of K. H. Wong
This figure shows the co-authorship network connecting the top 25 collaborators of K. H. Wong. A scholar is included among the top collaborators of K. H. 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 K. H. Wong. K. H. 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 | 73 | |
| 2 | Comparison of compression force & compressed breast thickness of Full-Field Digital Mammography and Combined FFDM plus Digital Breast Tomosynthesis when additional views considered | 3 |
| 3 | 66 | |
| 4 | 17 | |
| 5 | 22 | |
| 6 | 20 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 18 | |
| 12 | 4 | |
| 13 | 16 | |
| 14 | 2 | |
| 15 | 22 | |
| 16 | 30 | |
| 17 | 38 | |
| 18 | 18 | |
| 19 | 17 | |
| 20 | 40 |
About K. H. Wong
K. H. Wong is a scholar working on Microbiology, Endocrinology and Immunology, having authored 47 papers that have together received 937 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (12 papers), Reproductive tract infections research (9 papers) and Prion Diseases and Protein Misfolding (9 papers). The work is most often cited by research in Endocrinology (273 citations), Microbiology (206 citations) and Neurology (131 citations). K. H. Wong has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include John C. Feeley, Michael D. Geschwind, R J Arko, Leonel Tadao Takada, Sven Forner, S K Skelton, Robert S. Northrup, A Sutton, Stephen J. DeArmond and David Y. Johnson. Their work appears in journals such as Annals of Internal Medicine, Journal of Clinical Microbiology and The Journal of Infectious Diseases.
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.