Hui–Hsing Wong

555 citations
7 papers · 350 indexed · h-index 5
Topics
Chronic Disease Management Strategies (2 papers)Clostridium difficile and Clostridium perfringens research (2 papers)Urinary Tract Infections Management (1 paper)
Partner nations
United States

In The Last Decade

Hui–Hsing Wong

7 papers receiving 338 citations

Peers

Hui–Hsing Wong
Comparison fields: 5 of 101
  • Economics and Econometrics 122
  • Public Health, Environmental and Occupational Health 81
  • General Health Professions 53
  • Surgery 42
  • Molecular Biology 41
Replace Stella Stergiopoulos with:
Stella Stergiopoulos United States
Kimberly A. Mc Cord Switzerland
Aylin Sertkaya United States
Leonard DʼAvolio United States
Meetali Kakad Norway
James Topping United States
Alexandra Păcurariu Netherlands
Arun Bhatt United States
Luke Slawomirski France
Ralf Herold Germany
Hui–Hsing Wong relative to Stella Stergiopoulos United States Stella Stergiopoulos's profile →
Citations per field
00.5×
Stella Stergiopoulos · 1×
Citations per year

Countries citing papers authored by Hui–Hsing Wong

Since Specialization
Citations

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

Fields of papers citing papers by Hui–Hsing Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui–Hsing 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 Hui–Hsing Wong. The network helps show where Hui–Hsing Wong may publish in the future.

Co-authorship network of co-authors of Hui–Hsing Wong

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 16
2 4
3 4
4 248
5 44
6 5
7 29

About Hui–Hsing Wong

Hui–Hsing Wong is a scholar working on Applied Microbiology and Biotechnology, Health Information Management and Molecular Medicine, having authored 7 papers that have together received 350 indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Urinary Tract Infections Management (1 paper). The work is most often cited by research in Health Informatics (14 citations), Applied Microbiology and Biotechnology (10 citations) and Economics and Econometrics (122 citations). Hui–Hsing Wong has collaborated with scholars based in United States. Frequent co-authors include Aylin Sertkaya, Amber Jessup, Trinidad Beleche, Katherine L. Kahn, James Sorace, Thomas MaCurdy, Jeffrey A. Kelman, Chris Worrall, Bruno García del Blanco and Thomas DeLeire. Their work appears in journals such as Medical Care, International Journal of Medical Informatics and American Journal of Infection Control.

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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