Kenneth Cheung

1.8k citations
28 papers · 674 indexed · 1 hit paper · h-index 15
Topics
Immune Cell Function and Interaction (4 papers)Genetic Neurodegenerative Diseases (3 papers)Autophagy in Disease and Therapy (3 papers)

In The Last Decade

Kenneth Cheung

23 papers receiving 669 citations

Hit Papers

Bile acid signaling in the regulation of whole body metab...20232026202420252023255075

Peers

Kenneth Cheung
Comparison fields: 5 of 94
  • Molecular Biology 328
  • Epidemiology 112
  • Pharmacology 111
  • Immunology 110
  • Cancer Research 104
Replace Minchan Gil with:
Minchan Gil South Korea
Shoji Kawauchi Japan
Langhai Xu China
Safwat Adel Abdo Moqbel China
Liangliang Shen China
Jianyuan Chai United States
Rahul Shah United States
Qinyan Yang China
Rita Cascão Portugal
Kenneth Cheung relative to Minchan Gil South Korea Minchan Gil's profile →
Citations per field
00.5×1.5×2.5×
Minchan Gil · 1×
Citations per year

Countries citing papers authored by Kenneth Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth Cheung. A scholar is included among the top collaborators of Kenneth 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 Kenneth Cheung. Kenneth 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 0
2 0
3 1
4 0
5 0
6 0
7 4
8 2
9 17
10
Bile acid signaling in the regulation of whole body metabolic and immunological homeostasisbreakdown →
98
11 13
12 38
13 9
14 41
15 37
16 79
17 83
18 46
19 20
20 17

About Kenneth Cheung

Kenneth Cheung is a scholar working on Physiology, Immunology and Cancer Research, having authored 28 papers that have together received 674 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Genetic Neurodegenerative Diseases (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Cancer Research (104 citations), Pharmacology (59 citations) and Pharmacology (111 citations). Kenneth Cheung has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Wei Jia, Xiaojiao Zheng, Yitao Li, Chi Man Tsang, Yibin Feng, Vivian Wai Yan Lui, Claudio Mauro, Federica M. Marelli‐Berg, Chiman Kwan and Sai Wah Tsao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Immunity and The Journal of Immunology.

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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