K. T. Wong

2.0k total citations
30 papers, 1.4k citations indexed

About

K. T. Wong is a scholar working on Surgery, Epidemiology and Infectious Diseases. According to data from OpenAlex, K. T. Wong has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 9 papers in Epidemiology and 7 papers in Infectious Diseases. Recurrent topics in K. T. Wong's work include COVID-19 diagnosis using AI (4 papers), Pneumonia and Respiratory Infections (4 papers) and Antibiotic Resistance in Bacteria (4 papers). K. T. Wong is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), Pneumonia and Respiratory Infections (4 papers) and Antibiotic Resistance in Bacteria (4 papers). K. T. Wong collaborates with scholars based in Hong Kong, China and Sri Lanka. K. T. Wong's co-authors include Nelson Lee, David S.C. Hui, Anil T. Ahuja, Enders K. Ng, Joseph J.�Y. Sung, Gregory E. Antonio, Alan Wu, Timothy H. Rainer, Edmund H.Y. Yuen and Peter Cameron and has published in prestigious journals such as Clinical Infectious Diseases, Radiology and International Journal of Molecular Sciences.

In The Last Decade

K. T. Wong

29 papers receiving 1.4k citations

Peers

K. T. Wong
Comparison fields: 5 of 113
  • Infectious Diseases 545
  • Epidemiology 511
  • Pulmonary and Respiratory Medicine 326
  • Radiology, Nuclear Medicine and Imaging 261
  • Neurology 201
Replace Susan E. Sharp with:
Susan E. Sharp United States
Symeon Metallidis Greece
Ahmet Faik Öner Türkiye
Ali Bülent Cengiz Türkiye
Rafael Máñez Spain
Yasemin Özsürekçi Türkiye
Katleen de Gaetano Donati Italy
Mutlu Hayran Türkiye
Ulla Hohenthal Finland
Dimitri Poddighe Kazakhstan
Susan E. Sharp United States View profile →
Citations per field, relative to K. T. Wong
K. T. Wong · 1×
Citations per year, relative to K. T. Wong
K. T. Wong · 1×

Countries citing papers authored by K. T. Wong

Since Specialization
Citations

This map shows the geographic impact of K. T. 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. T. 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. T. Wong more than expected).

Fields of papers citing papers by K. T. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. T. 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. T. Wong. The network helps show where K. T. Wong may publish in the future.

Co-authorship network of co-authors of K. T. Wong

This figure shows the co-authorship network connecting the top 25 collaborators of K. T. Wong. A scholar is included among the top collaborators of K. T. 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. T. Wong. K. T. Wong 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
# Work Indexed citations
1 7
2 8
3 30
4 57
5 18
6 12
7 255
8 12
9 66
10 12
11 8
12 50
13 75
14 34
15 210
16 225
17 175
18 10
19 11
20 13

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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