Kenneth Siu-Sing Leung

34 papers receiving 2.4k citations

Kenneth Siu-Sing Leung's Hit Papers

COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer 2010 · 1.9k citations
1.9k0+5+10Years since publication5001k1.5k

Peers

Kenneth Siu-Sing Leung
Comparison fields: 5 of 104
  • Cancer Research 528
  • Oncology 292
  • Molecular Biology 744
  • Genetics 256
  • Pulmonary and Respiratory Medicine 250
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Gregory R. Bean United States
Kazuma Kiyotani Japan
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Citations per year

Countries citing papers authored by Kenneth Siu-Sing Leung

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Siu-Sing Leung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth Siu-Sing Leung. 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 Siu-Sing Leung. The network helps show where Kenneth Siu-Sing Leung may publish in the future.

Co-authors

The 25 scholars most cited alongside Kenneth Siu-Sing Leung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kenneth Siu-Sing Leung Line = papers co-authored together Kenneth Siu-Sing Leung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer
Hit paper breakdown →
20101924
2 201863
3 199656
4 202153
5 201448
6 201731
7 201821
8 201820
9 199317
10 200017
11 201717
12 202215
13 199314
14 201813
15 202212
16 201711
17 202310
18 19969
19 20179
20
Fetal cardiorespiratory and neurobehavioral response to zidovudine (AZT) in the baboon.
19978

About Kenneth Siu-Sing Leung

Kenneth Siu-Sing Leung is a scholar working on Infectious Diseases, Endocrine and Autonomic Systems, Pharmacology, Pulmonary and Respiratory Medicine and Cognitive Neuroscience, having authored 38 papers that have together received 2.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), HIV/AIDS drug development and treatment (3 papers), Gastric Cancer Management and Outcomes (3 papers), Neuroscience of respiration and sleep (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Prenatal Substance Exposure Effects (2 papers) and Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Cancer Research (528 citations), Oncology (292 citations), Molecular Biology (744 citations), Genetics (256 citations) and Pulmonary and Respiratory Medicine (250 citations). Kenneth Siu-Sing Leung has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Michael R. Stratton, Chai Yin Kok, Nidhi Bindal, David M. Beare, Sally Bamford, Rebecca Shepherd, P. Andrew Futreal, Mingming Jia, J. Teague and Peter J. Campbell. Their work appears in journals such as Early Human Development, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Diagnostic Microbiology and Infectious Disease, Journal of Hepatology and Annals of Surgical Oncology.

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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