De Cheng
Impact in
- Aging top 10%
-
- Animal Genetics and Reproduction
- Mesenchymal stem cell research
Papers in
-
- Pluripotent Stem Cells Research 12
- CRISPR and Genetic Engineering 11
- Renal and related cancers 4
- RNA Interference and Gene Delivery 3
-
- Telomeres, Telomerase, and Senescence 8
- Co-authors
- Huayan Wang (12 shared papers)Jiyue Zhu (9 shared papers)Yuanjun Zhao (6 shared papers)Xing Gao (3 shared papers)Yajun Liu (4 shared papers)Fan Zhang (7 shared papers)Xiaoling Ma (3 shared papers)Shuwen Wang (4 shared papers)
- Journals
- PLoS ONE (2 papers)Scientific Reports (2 papers)Biochemical and Biophysical Research Communications (1 paper)Nature Communications (1 paper)The FASEB Journal (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
De Cheng
23 papers receiving 509 citations
Peers
Comparison fields: 5 of 69
- Aging 24
- Genetics 53
- Molecular Biology 357
- Reproductive Medicine 41
- Physiology 113
Countries citing papers authored by De Cheng
This map shows the geographic impact of De 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 De Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De Cheng more than expected).
Fields of papers citing papers by De Cheng
This network shows the impact of papers produced by De 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 De Cheng. The network helps show where De Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside De 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 61 | |
| 2 | 2012 | 58 | |
| 3 | 2011 | 58 | |
| 4 | 2014 | 48 | |
| 5 | 2013 | 31 | |
| 6 | 2017 | 31 | |
| 7 | 2016 | 30 | |
| 8 | 2011 | 28 | |
| 9 | 2013 | 27 | |
| 10 | 2015 | 18 | |
| 11 | 2017 | 16 | |
| 12 | 2012 | 16 | |
| 13 | 2016 | 14 | |
| 14 | 2012 | 14 | |
| 15 | 2014 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2019 | 11 | |
| 18 | 2021 | 8 | |
| 19 | 2011 | 8 | |
| 20 | 2012 | 8 |
About De Cheng
De Cheng is a scholar working on Molecular Biology, Physiology, Surgery, Public Health, Environmental and Occupational Health and Genetics, having authored 24 papers that have together received 516 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (11 papers), Telomeres, Telomerase, and Senescence (8 papers), Renal and related cancers (4 papers), Animal Genetics and Reproduction (3 papers), RNA Interference and Gene Delivery (3 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Reproductive Biology and Fertility (3 papers). The work is most often cited by research in Aging (24 citations), Genetics (53 citations), Molecular Biology (357 citations), Reproductive Medicine (41 citations) and Physiology (113 citations). De Cheng has collaborated with scholars based in China and United States. Frequent co-authors include Huayan Wang, Jiyue Zhu, Yuanjun Zhao, Xing Gao, Yajun Liu, Fan Zhang, Xiaoling Ma, Shuwen Wang, Shuwen Wang and Yi Gao. Their work appears in journals such as PLoS ONE, Scientific Reports, Biochemical and Biophysical Research Communications, Nature Communications and The FASEB Journal.
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.