Dong Cheng
Impact in
- Oncology top 5%
- Peptidase Inhibition and Analysis
- HER2/EGFR in Cancer Research
- Cancer Research top 10%
Papers in
-
- Ubiquitin and proteasome pathways 11
- Protein Degradation and Inhibitors 6
- Cancer-related gene regulation 6
- Oncology 26
- Peptidase Inhibition and Analysis 13
- Cytokine Signaling Pathways and Interactions 5
- Co-authors
- Jinrong Min (12 shared papers)V. Craig Jordan (6 shared papers)Heng Zhang (7 shared papers)Clodia Osipo (5 shared papers)Ming Zhuang (8 shared papers)Chenlei Zhu (7 shared papers)W. Tempel (5 shared papers)Richard K. Burt (1 shared paper)
- Journals
- Nature Communications (4 papers)Journal of Medicinal Chemistry (4 papers)Biochemical and Biophysical Research Communications (3 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Chemical Biology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Dong Cheng
75 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 95
- Oncology 466
- Cancer Research 218
- Molecular Biology 916
- Sensory Systems 57
- Immunology 211
Countries citing papers authored by Dong Cheng
This map shows the geographic impact of Dong 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 Dong Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Cheng more than expected).
Fields of papers citing papers by Dong Cheng
This network shows the impact of papers produced by Dong 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 Dong Cheng. The network helps show where Dong Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 184 | |
| 2 | 2016 | 137 | |
| 3 | 2017 | 120 | |
| 4 | 2018 | 86 | |
| 5 | 2007 | 56 | |
| 6 | 2008 | 54 | |
| 7 | 2018 | 50 | |
| 8 | 2018 | 44 | |
| 9 | 2005 | 42 | |
| 10 | 2017 | 41 | |
| 11 | 2020 | 39 | |
| 12 | 2012 | 39 | |
| 13 | 2015 | 38 | |
| 14 | 2013 | 38 | |
| 15 | 2018 | 37 | |
| 16 | 2013 | 36 | |
| 17 | 2021 | 33 | |
| 18 | 2005 | 31 | |
| 19 | 2021 | 31 | |
| 20 | 2021 | 30 |
About Dong Cheng
Dong Cheng is a scholar working on Molecular Biology, Oncology, Plant Science, Genetics and Immunology, having authored 79 papers that have together received 1.9k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (13 papers), Ubiquitin and proteasome pathways (11 papers), Plant-Microbe Interactions and Immunity (9 papers), Plant Pathogenic Bacteria Studies (9 papers), Estrogen and related hormone effects (7 papers), Protein Degradation and Inhibitors (6 papers), Cancer-related gene regulation (6 papers) and Cytokine Signaling Pathways and Interactions (5 papers). The work is most often cited by research in Oncology (466 citations), Cancer Research (218 citations), Molecular Biology (916 citations), Sensory Systems (57 citations) and Immunology (211 citations). Dong Cheng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jinrong Min, V. Craig Jordan, Heng Zhang, Clodia Osipo, Ming Zhuang, Chenlei Zhu, W. Tempel, Richard K. Burt, Robert M. Rosa and James Schroeder. Their work appears in journals such as Nature Communications, Journal of Medicinal Chemistry, Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences and Nature Chemical Biology.
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.