Kei‐Hoi Cheung

4.6k citations
77 papers · 2.5k indexed · 1 hit paper · h-index 24
Topics
Biomedical Text Mining and Ontologies (26 papers)Bioinformatics and Genomic Networks (24 papers)Gene expression and cancer classification (19 papers)

In The Last Decade

Kei‐Hoi Cheung

73 papers receiving 2.4k citations

Hit Papers

Global Patterns of Linkage Disequilibrium at the CD4 Locu...19962026200620161996100200300400

Peers

Kei‐Hoi Cheung
Comparison fields: 5 of 164
  • Molecular Biology 1.6k
  • Genetics 655
  • Artificial Intelligence 344
  • Spectroscopy 169
  • Epidemiology 160
Replace Morris A. Swertz with:
Morris A. Swertz Netherlands
Georgios V. Gkoutos United Kingdom
Karen Eilbeck United States
Dov Greenbaum United States
Lawrence Hunter United States
Robert Hoehndorf Saudi Arabia
Amelia Ireland United Kingdom
Lynn M. Schriml United States
Anthony J. Brookes United Kingdom
Melissa Haendel United States
Kei‐Hoi Cheung relative to Morris A. Swertz Netherlands Morris A. Swertz's profile →
Citations per field
00.5×1.5×2.5×
Morris A. Swertz · 1×
Citations per year

Countries citing papers authored by Kei‐Hoi Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Kei‐Hoi Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kei‐Hoi Cheung. 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 Kei‐Hoi Cheung. The network helps show where Kei‐Hoi Cheung may publish in the future.

Co-authorship network of co-authors of Kei‐Hoi Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Kei‐Hoi Cheung. A scholar is included among the top collaborators of Kei‐Hoi Cheung 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 Kei‐Hoi Cheung. Kei‐Hoi Cheung 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 2
2 5
3 3
4 7
5 6
6 131
7 74
8 53
9 71
10 22
11 72
12 10
13
A XML-Based Approach to Integrating Heterogeneous Yeast Genome Data.
1
14 11
15 14
16 36
17 5
18 64
19 9
20 3

About Kei‐Hoi Cheung

Kei‐Hoi Cheung is a scholar working on Molecular Biology, Issues, ethics and legal aspects and Biophysics, having authored 77 papers that have together received 2.5k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (26 papers), Bioinformatics and Genomic Networks (24 papers) and Gene expression and cancer classification (19 papers). The work is most often cited by research in Genetics (655 citations), Molecular Biology (1.6k citations) and Information Systems and Management (146 citations). Kei‐Hoi Cheung has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Perry L. Miller, Mark Gerstein, Kenneth K. Kídd, A.J. Pakstis, Kevin Y. Yip, Christopher M. Colangelo, Cynthia Brandt, Jeffrey P. Townsend, Hongyu Zhao and Christopher L. Moore. Their work appears in journals such as Nature, Science and Nucleic Acids Research.

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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