S Cheng
- Clinical Biochemistry top 5%
- Paraoxonase enzyme and polymorphisms 3
- Genetics top 10%
- Genetic Associations and Epidemiology 2
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- Bioinformatics and Genomic Networks 2
- RNA modifications and cancer 2
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- Stock Market Forecasting Methods 3
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- Lipoproteins and Cardiovascular Health 3
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- Energy Load and Power Forecasting 2
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- Financial Markets and Investment Strategies 2
- Co-authors
- Russell HiguchiWayne M. BarnesRobert Y.L. ZeeHoward GamperJohn E. HearstBennett Van HoutenAziz SancarMichael Grow
- Journals
- Annals of Human Genetics (2 papers)Genes and Immunity (1 paper)Clinical and Experimental Dermatology (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
S Cheng
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Clinical Biochemistry 75
- Genetics 273
- Molecular Biology 567
- Immunology 147
- Endocrinology, Diabetes and Metabolism 88
Countries citing papers authored by S Cheng
This map shows the geographic impact of S Cheng'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 S Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Cheng more than expected).
Fields of papers citing papers by S Cheng
This network shows the impact of papers produced by S Cheng. 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 S Cheng. The network helps show where S Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside S Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2019 | 5 | |
| 5 | 2011 | 6 | |
| 6 | 2006 | 42 | |
| 7 | 2006 | 26 | |
| 8 | 2006 | 33 | |
| 9 | 2005 | 62 | |
| 10 | 2005 | 20 | |
| 11 | 2005 | 36 | |
| 12 | 2004 | 45 | |
| 13 | 2004 | 45 | |
| 14 | 2002 | 53 | |
| 15 | 2000 | 78 | |
| 16 | 1999 | 7 | |
| 17 | 1995 | 19 | |
| 18 | 1994 | 3 | |
| 19 | 1994 | 496 | |
| 20 | 1988 | 84 |
About S Cheng
S Cheng is a scholar working on Clinical Biochemistry, Finance, Biochemistry, Internal Medicine and Management Science and Operations Research, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Paraoxonase enzyme and polymorphisms (3 papers), Genetic Associations and Epidemiology (2 papers), Energy Load and Power Forecasting (2 papers), Bioinformatics and Genomic Networks (2 papers), RNA modifications and cancer (2 papers) and Financial Markets and Investment Strategies (2 papers). The work is most often cited by research in Clinical Biochemistry (75 citations), Genetics (273 citations), Molecular Biology (567 citations), Immunology (147 citations) and Endocrinology, Diabetes and Metabolism (88 citations). S Cheng has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Russell Higuchi, Wayne M. Barnes, Robert Y.L. Zee, Howard Gamper, John E. Hearst, Bennett Van Houten, Aziz Sancar, Michael Grow, Richard Reynolds and Jürg Ott. Their work appears in journals such as Annals of Human Genetics, Genes and Immunity, Clinical and Experimental Dermatology, The Pharmacogenomics Journal and PeerJ Computer Science.
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.