Dong Cheng
Impact in
- Oncology top 5%
- Peptidase Inhibition and Analysis
- HER2/EGFR in Cancer Research
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Ubiquitin and proteasome pathways 12
- Protein Degradation and Inhibitors 6
- Circular RNAs in diseases 6
- Oncology 28
- Peptidase Inhibition and Analysis 13
- Co-authors
- Jinrong Min (12 shared papers)V. Craig Jordan (6 shared papers)Heng Zhang (7 shared papers)Chenlei Zhu (7 shared papers)Clodia Osipo (5 shared papers)Ming Zhuang (8 shared papers)Ann Traynor (1 shared paper)James Schroeder (1 shared paper)
- Journals
- Nature Communications (4 papers)Journal of Medicinal Chemistry (4 papers)Biochemical and Biophysical Research Communications (3 papers)Molecular Plant Pathology (2 papers)Cancer Research (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Dong Cheng
75 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 101
- Oncology 513
- Cancer Research 250
- Molecular Biology 956
- Sensory Systems 61
- Immunology 231
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 | 185 | |
| 2 | 2016 | 136 | |
| 3 | 2017 | 118 | |
| 4 | 2018 | 82 | |
| 5 | 2008 | 54 | |
| 6 | 2007 | 52 | |
| 7 | 2018 | 50 | |
| 8 | 2018 | 44 | |
| 9 | 2005 | 42 | |
| 10 | 2017 | 40 | |
| 11 | 2012 | 38 | |
| 12 | 2013 | 38 | |
| 13 | 2015 | 37 | |
| 14 | 2018 | 37 | |
| 15 | 2013 | 36 | |
| 16 | 2020 | 36 | |
| 17 | 2021 | 32 | |
| 18 | 2005 | 31 | |
| 19 | 2021 | 30 | |
| 20 | 2013 | 30 |
About Dong Cheng
Dong Cheng is a scholar working on Molecular Biology, Oncology, Plant Science, Genetics and Cancer Research, having authored 79 papers that have together received 1.8k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (13 papers), Ubiquitin and proteasome pathways (12 papers), Plant Pathogenic Bacteria Studies (9 papers), Plant-Microbe Interactions and Immunity (9 papers), Estrogen and related hormone effects (7 papers), Cancer-related molecular mechanisms research (7 papers), Protein Degradation and Inhibitors (6 papers) and Circular RNAs in diseases (6 papers). The work is most often cited by research in Oncology (513 citations), Cancer Research (250 citations), Molecular Biology (956 citations), Sensory Systems (61 citations) and Immunology (231 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, Chenlei Zhu, Clodia Osipo, Ming Zhuang, Ann Traynor, James Schroeder, Salim Mujais and Robert M. Rosa. Their work appears in journals such as Nature Communications, Journal of Medicinal Chemistry, Biochemical and Biophysical Research Communications, Molecular Plant Pathology and Cancer 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.