Keding Cheng
Impact in
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing
- Virology top 10%
Papers in
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- Bacterial Identification and Susceptibility Testing 4
-
- Escherichia coli research studies 3
- Co-authors
- Satya P. Saxena (4 shared papers)Surender M. Kharbanda (4 shared papers)Donald W. Kufe (3 shared papers)John A. Wilkins (7 shared papers)Pradip K. Majumder (2 shared papers)Gehua Wang (11 shared papers)Xiangao Sun (1 shared paper)Rakesh Datta (1 shared paper)
- Journals
- Journal of Clinical Microbiology (6 papers)Journal of Biological Chemistry (4 papers)PLoS ONE (3 papers)PROTEOMICS - CLINICAL APPLICATIONS (2 papers)Journal of Proteome Research (2 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Keding Cheng
42 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 76
- Clinical Biochemistry 75
- Virology 44
- Molecular Biology 518
- Infectious Diseases 144
- Spectroscopy 88
Countries citing papers authored by Keding Cheng
This map shows the geographic impact of Keding 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 Keding Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keding Cheng more than expected).
Fields of papers citing papers by Keding Cheng
This network shows the impact of papers produced by Keding 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 Keding Cheng. The network helps show where Keding Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Keding 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
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 385 | |
| 2 | 2000 | 272 | |
| 3 | 2003 | 152 | |
| 4 | 2004 | 132 | |
| 5 | 2016 | 102 | |
| 6 | 2016 | 92 | |
| 7 | 2008 | 70 | |
| 8 | 2013 | 41 | |
| 9 | 2015 | 37 | |
| 10 | 2018 | 37 | |
| 11 | 2017 | 35 | |
| 12 | 2003 | 25 | |
| 13 | 1999 | 23 | |
| 14 | 2002 | 22 | |
| 15 | 2016 | 20 | |
| 16 | 2005 | 18 | |
| 17 | 2014 | 18 | |
| 18 | 2004 | 15 | |
| 19 | 2006 | 14 | |
| 20 | 2014 | 14 |
About Keding Cheng
Keding Cheng is a scholar working on Clinical Biochemistry, Endocrinology, Molecular Biology, Infectious Diseases and Spectroscopy, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (6 papers), Cell death mechanisms and regulation (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Viral Infections and Outbreaks Research (4 papers), Escherichia coli research studies (3 papers), HIV Research and Treatment (2 papers), Cell Adhesion Molecules Research (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Clinical Biochemistry (75 citations), Virology (44 citations), Molecular Biology (518 citations), Infectious Diseases (144 citations) and Spectroscopy (88 citations). Keding Cheng has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Satya P. Saxena, Surender M. Kharbanda, Donald W. Kufe, John A. Wilkins, Pradip K. Majumder, Gehua Wang, Xiangao Sun, Rakesh Datta, Ralph R. Weichselbaum and Kiyotsugu Yoshida. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Biological Chemistry, PLoS ONE, PROTEOMICS - CLINICAL APPLICATIONS and Journal of Proteome 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.