Chenji Wang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Epigenetics and DNA Methylation
Papers in
-
- Ubiquitin and proteasome pathways 21
- Epigenetics and DNA Methylation 4
- Co-authors
- Long Jiang Yu (25 shared papers)Pingzhao Zhang (27 shared papers)Haojie Huang (10 shared papers)Kun Gao (25 shared papers)Jian An (4 shared papers)Yibin Deng (1 shared paper)Minghua Wang (5 shared papers)Shicheng Guo (5 shared papers)
- Journals
- Cell Death and Differentiation (5 papers)Cell Death and Disease (4 papers)Cancer Letters (4 papers)PLoS ONE (3 papers)eLife (3 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Chenji Wang
85 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 389
- Molecular Biology 1.4k
- Pulmonary and Respiratory Medicine 585
- Oncology 288
- Cell Biology 144
Countries citing papers authored by Chenji Wang
This map shows the geographic impact of Chenji Wang'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 Chenji Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenji Wang more than expected).
Fields of papers citing papers by Chenji Wang
This network shows the impact of papers produced by Chenji Wang. 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 Chenji Wang. The network helps show where Chenji Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenji Wang, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 327 | |
| 2 | 2017 | 259 | |
| 3 | 2014 | 217 | |
| 4 | 2015 | 128 | |
| 5 | 2019 | 105 | |
| 6 | 2010 | 100 | |
| 7 | 2021 | 90 | |
| 8 | 2023 | 81 | |
| 9 | 2015 | 69 | |
| 10 | 2012 | 68 | |
| 11 | 2017 | 65 | |
| 12 | 2012 | 63 | |
| 13 | 2017 | 57 | |
| 14 | TRIM21 overexpression promotes tumor progression by regulating cell proliferation, cell migration and cell senescence in human glioma. | 2020 | 56 |
| 15 | 2018 | 50 | |
| 16 | 2011 | 49 | |
| 17 | 2019 | 46 | |
| 18 | 2011 | 44 | |
| 19 | 2020 | 42 | |
| 20 | 2015 | 40 |
About Chenji Wang
Chenji Wang is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Cell Biology, having authored 87 papers that have together received 3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (21 papers), Prostate Cancer Treatment and Research (11 papers), Cancer-related Molecular Pathways (6 papers), Microtubule and mitosis dynamics (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Epigenetics and DNA Methylation (4 papers), Autophagy in Disease and Therapy (4 papers) and Hippo pathway signaling and YAP/TAZ (4 papers). The work is most often cited by research in Cancer Research (389 citations), Molecular Biology (1.4k citations), Pulmonary and Respiratory Medicine (585 citations), Oncology (288 citations) and Cell Biology (144 citations). Chenji Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Long Jiang Yu, Pingzhao Zhang, Haojie Huang, Kun Gao, Jian An, Yibin Deng, Minghua Wang, Shicheng Guo, Jin Li and Yinghui Zhou. Their work appears in journals such as Cell Death and Differentiation, Cell Death and Disease, Cancer Letters, PLoS ONE and eLife.
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.