Kaw Bing Chua

8.8k citations
78 papers · 5.6k indexed · 1 hit paper · h-index 33
Topics
Viral Infections and Vectors (35 papers)Virology and Viral Diseases (28 papers)Mosquito-borne diseases and control (23 papers)

In The Last Decade

Kaw Bing Chua

76 papers receiving 5.3k citations

Hit Papers

Fatal encephalitis due to Nipah virus among pig-farmers i...19992026200820171999200400600

Peers

Kaw Bing Chua
Comparison fields: 5 of 119
  • Infectious Diseases 3.9k
  • Epidemiology 3.1k
  • Public Health, Environmental and Occupational Health 1.5k
  • Cardiology and Cardiovascular Medicine 969
  • Agronomy and Crop Science 858
Replace Sai Kit Lam with:
Sai Kit Lam Malaysia
Cynthia S. Goldsmith United States
W. Paul Duprex United States
Geert van Amerongen Netherlands
Deborah Middleton Australia
James A. Comer United States
Donata Hoffmann Germany
William B. Klimstra United States
Frederick A. Murphy United States
Jonathan S. Towner United States
Kaw Bing Chua relative to Sai Kit Lam Malaysia Sai Kit Lam's profile →
Citations per field
00.5×3.9×
Sai Kit Lam · 1×
Citations per year

Countries citing papers authored by Kaw Bing Chua

Since Specialization
Citations

This map shows the geographic impact of Kaw Bing Chua'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 Kaw Bing Chua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaw Bing Chua more than expected).

Fields of papers citing papers by Kaw Bing Chua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaw Bing Chua. 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 Kaw Bing Chua. The network helps show where Kaw Bing Chua may publish in the future.

Co-authorship network of co-authors of Kaw Bing Chua

This figure shows the co-authorship network connecting the top 25 collaborators of Kaw Bing Chua. A scholar is included among the top collaborators of Kaw Bing Chua 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 Kaw Bing Chua. Kaw Bing Chua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 13
3
Monoclonal antibody-escape variant of dengue virus serotype 1: Genetic composition and envelope protein expression.
3
4 31
5 127
6 64
7 114
8 173
9 153
10 81
11 356
12 37
13 34
14 468
15 190
16 112
17 58
18 2
19 411
20 274

About Kaw Bing Chua

Kaw Bing Chua is a scholar working on Infectious Diseases, Epidemiology and Agronomy and Crop Science, having authored 78 papers that have together received 5.6k indexed citations. Recurring topics across this work include Viral Infections and Vectors (35 papers), Virology and Viral Diseases (28 papers) and Mosquito-borne diseases and control (23 papers). The work is most often cited by research in Infectious Diseases (3.9k citations), Virology (601 citations) and Epidemiology (3.1k citations). Kaw Bing Chua has collaborated with scholars based in Malaysia, Australia and Singapore. Frequent co-authors include Sai Kit Lam, Kum Thong Wong, Chong Tin Tan, Khean Jin Goh, Lin‐Fa Wang, Patrick Seow Koon Tan, George Paul, Sherif R. Zaki, Thomas G. Ksiazek and Bryan T. Eaton. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

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.

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