Shing-Ming Cheng
Impact in
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
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- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Lipid Membrane Structure and Behavior
Papers in
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- Mitochondrial Function and Pathology 4
- ATP Synthase and ATPases Research 3
- Cell death mechanisms and regulation 2
- Metabolomics and Mass Spectrometry Studies 1
- Lipid Membrane Structure and Behavior 1
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- Metabolism and Genetic Disorders 1
- Co-authors
- Volkmar Weissig (5 shared papers)Gerard G. M. D’Souza (4 shared papers)Vladimir P. Torchilin (1 shared paper)Ram Rammohan (1 shared paper)Sarathi V. Boddapati (2 shared papers)Richard W. Horobin (1 shared paper)William H. Fowle (1 shared paper)Rolf Schubert (1 shared paper)
- Journals
- Mitochondrion (1 paper)Journal of Drug Delivery Science and Technology (1 paper)Journal of drug targeting (1 paper)Journal of Liposome Research (1 paper)Journal of Controlled Release (1 paper)
- Partner nations
- United StatesGermanyTaiwan
In The Last Decade
Shing-Ming Cheng
5 papers receiving 341 citations
Peers
Comparison fields: 5 of 54
- Clinical Biochemistry 45
- Molecular Biology 291
- Biomaterials 42
- Developmental Neuroscience 6
- Cancer Research 21
Countries citing papers authored by Shing-Ming Cheng
This map shows the geographic impact of Shing-Ming 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 Shing-Ming Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shing-Ming Cheng more than expected).
Fields of papers citing papers by Shing-Ming Cheng
This network shows the impact of papers produced by Shing-Ming 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 Shing-Ming Cheng. The network helps show where Shing-Ming Cheng may publish in the future.
Co-authors
The 9 scholars most cited alongside Shing-Ming 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 | 2003 | 144 | |
| 2 | 2004 | 77 | |
| 3 | 2006 | 58 | |
| 4 | 2008 | 52 | |
| 5 | 2005 | 18 |
About Shing-Ming Cheng
Shing-Ming Cheng is a scholar working on Molecular Biology, Clinical Biochemistry, Biomaterials, Biomedical Engineering and Infectious Diseases, having authored 5 papers that have together received 349 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), ATP Synthase and ATPases Research (3 papers), Cell death mechanisms and regulation (2 papers), Metabolomics and Mass Spectrometry Studies (1 paper), Metabolism and Genetic Disorders (1 paper), Nanoparticle-Based Drug Delivery (1 paper), Nanoplatforms for cancer theranostics (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Clinical Biochemistry (45 citations), Molecular Biology (291 citations), Biomaterials (42 citations), Developmental Neuroscience (6 citations) and Cancer Research (21 citations). Shing-Ming Cheng has collaborated with scholars based in United States, Germany and Taiwan. Frequent co-authors include Volkmar Weissig, Gerard G. M. D’Souza, Vladimir P. Torchilin, Ram Rammohan, Sarathi V. Boddapati, Richard W. Horobin, William H. Fowle, Rolf Schubert and V. P. Torchilin. Their work appears in journals such as Mitochondrion, Journal of Drug Delivery Science and Technology, Journal of drug targeting, Journal of Liposome Research and Journal of Controlled Release.
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.