K. L. Yap
- Epidemiology top 5%
- Immunology top 5%
- Infectious Diseases top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Gordon AdaIan F. C. McKenzieT J BracialeThomas J. BracialeYick Hei WongRuth F. BishopCarl D. KirkwoodNada Bogdanovic‐Sakran
- Topics
- Influenza Virus Research Studies (10 papers)Viral gastroenteritis research and epidemiology (8 papers)Immune Cell Function and Interaction (7 papers)
- Cited by
- ImmunologyEpidemiologyVirology
- Partner nations
- MalaysiaAustraliaUnited Kingdom
In The Last Decade
K. L. Yap
24 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Epidemiology 757
- Immunology 747
- Infectious Diseases 189
- Molecular Biology 149
- Radiology, Nuclear Medicine and Imaging 139
Countries citing papers authored by K. L. Yap
This map shows the geographic impact of K. L. Yap'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. L. Yap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. L. Yap more than expected).
Fields of papers citing papers by K. L. Yap
This network shows the impact of papers produced by K. L. Yap. 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. L. Yap. The network helps show where K. L. Yap may publish in the future.
Co-authorship network of co-authors of K. L. Yap
This figure shows the co-authorship network connecting the top 25 collaborators of K. L. Yap. A scholar is included among the top collaborators of K. L. Yap 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. L. Yap. K. L. Yap is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | Molecular characterization and epidemiology of rotavirus isolates obtained from children with diarrhoea in Malaysia. | 7 |
| 5 | Recovery of poliovirus from cut surface of stored fresh papaya fruit. | 3 |
| 6 | 65 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | Induction and Ly phenotype of suppressor T cells in mice during primary infection with dengue virus. | 7 |
| 12 | 15 | |
| 13 | 56 | |
| 14 | 0 | |
| 15 | 104 | |
| 16 | Transfer of specific cytotoxic T lymphocytes protects mice inoculated with influenza virusbreakdown → | 465 |
| 17 | 100 | |
| 18 | 14 | |
| 19 | Cytotoxic T cells specific for influenza virus-infected target cells. | 106 |
| 20 | 41 |
About K. L. Yap
K. L. Yap is a scholar working on Hepatology, Immunology and Business and International Management, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Viral gastroenteritis research and epidemiology (8 papers) and Immune Cell Function and Interaction (7 papers). The work is most often cited by research in Immunology (747 citations), Epidemiology (757 citations) and Virology (93 citations). K. L. Yap has collaborated with scholars based in Malaysia, Australia and United Kingdom. Frequent co-authors include Gordon Ada, Ian F. C. McKenzie, T J Braciale, Thomas J. Braciale, Yick Hei Wong, Ruth F. Bishop, Carl D. Kirkwood, Nada Bogdanovic‐Sakran, Sai Kit Lam and M Jegathesan. Their work appears in journals such as Nature, The Journal of Experimental Medicine and Journal of General Virology.
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.